Abstrakt uses Vertex AI to enhance contact center customer experiences by transcribing calls and evaluating sentiment in real-time. This empowers call center workers to have more effective conversations, resolve issues faster, and provide a better customer experience.
ADT is building a customer agent to help its millions of customers select, order, and set up their home security.
*AMD, a leader in high-performance computing, deployed a Vertex AI-powered chatbot in customer operations that pulls data related to order scheduling and deliveries to answer customer questions quickly. The natural language chatbot helps the customer service team provide faster responses by accessing real-time information from SAP systems.
AUI‘s Apollo AI agent empowers businesses to create complex, multi-step conversational experiences for its customers. This neuro-symbolic AI agent integrates with existing systems and tools, ensuring accurate, transparent, and compliant interactions.
BMC partnered with Google Cloud to bring the power of Vertex AI and Llama 3.1 to its BMC Helix platform, which has significantly boosted accuracy for conversational AI and AIOps recommendations, giving BMC customers access to cutting-edge AI solutions tailored to their needs.
Character.ai built its realistic conversational chat platform using the full stack of Google Cloud AI services, including for model training and daily operations, allowing it to manage terabytes of conversations each day without interruption.
Flockx lifts people out of loneliness by connecting individuals with events, communities, and like-minded people using collaborative AI agent technology, built with Google Cloud and Elastic.
Gojek, an Indonesia-based super app, launched “Dira by GoTo AI,” a Bahasa Indonesia AI-powered voice assistant integrated into its GoPay service, allowing customers to use voice command to eliminate typing and scrolling, and complete tasks like bill payments and money transfers with fewer steps.
Hand Talk uses AI to translate spoken and written Portuguese into Brazilian sign language using a virtual character named Hugo; the embedded AI translates the oral language into ASL gloss, then converts the gloss into signs, enabling communication and education for deaf individuals and their families.
*IntentAI, a Singapore-based SaaS company developing human-like Enterprise AI Agents for financial services and healthcare, uses Google Cloud to power over 200,000 healthcare appointments annually. The AI Agent handles 77% of customer chats and increased call center agent productivity by 2x.
*Inworld, a platform for creating AI-driven characters, uses Gemini to power personalized and engaging online experiences like virtual tutors and in-app guides. The company can cost-effectively support millions of concurrent users with just millisecond latencies.
*Kata.ai, an Indonesian Conversational AI company, uses Google Cloud’s LLMs to enhance its chatbots with hyper-personalization. This has improved the company’s cost efficiency by 40%.
*LiveX, customer service AI agents, uses Google Kubernetes Engine Autopilot and NVIDIA GPUs to power its platform. These technologies reduced total cost of ownership by 50% and operational costs by 66% while supporting an 85% reduction in customer support costs for one of its clients.
*MOGUL.sg, a Singapore real estate platform, launched MAIA in February 2025 — an AI agent for automated property searches and viewing appointments on WhatsApp — using Vertex AI, Gemini, and Google Maps API. The company reduced user query response time by 5-10 seconds, making interactions feel instant.
Moveo.AI uses Vertex AI to train and deploy custom AI models for creating AI-powered customer experience agents. This has resulted in faster model development, improved customer engagement, increased revenue, and reduced customer churn for Moveo.AI’s clients.
*Owl.AI, a sports technology company, delivers AI-powered solutions to professional sports leagues. Their offerings, which include judging and scoring, aim to enhance accuracy, consistency, and eliminate bias. Owl.AI achieves this by leveraging AI models built on Gemini and fine-tuned on Google Cloud to analyze real-time video footage of athletic performances.
Personal AI offers a “personal language model” using only the data of one individual or brand and allowing them to control and own how it is used. Built on your own data, facts, and opinions, it creates a responsive and interactive messaging experience that helps people be more productive and deepen relationships.
*Plateer built Groobee, its AI-based ecommerce marketing solution, using Vertex AI and Gemini Flash to enable natural language product search that understands queries like “things I need for my five-year-old daughter’s birthday party.” Gemini Flash delivered faster response speeds and better results than other large language models while costing less than half of alternative AI models.
*Quanscient, a Finnish cloud-based multiphysics simulation platform company, built a customer support chatbot using Gemini Flash that answers natural language questions about how to design simulations by searching through text and images in the platform’s documentation. The deployed chatbot lowers the barrier to entry for using the platform while reducing the workload on the customer support team.
Quora developed Poe, its own generative AI platform for people to discover and chat with AI-powered bots, including Gemini, Anthropic’s Claude, Meta’s Llama, and Mistral’s Large 2 — many of which are hosted on Google Cloud’s purpose-built AI infrastructure.
Reddit has launched Reddit Answers, its new conversation platform, which uses gen AI built with Gemini and Vertex AI that’s grounded in Reddit’s vast repository of information. Additionally, Reddit is using Vertex AI Search to improve its homepage experience.
*Replicant automates customer conversations for enterprise brands using voice and chat AI agents that replicate the expertise of your very best agents. Gemini helps Replicant deliver consistent service 24/7 that deploys quickly, scales effortlessly and continuously improves to boost ROI and CX.
*Signify’s Philips Hue Platform, managing over 153 million connected light points worldwide, built its cloud infrastructure on Google Kubernetes Engine to handle natural lighting patterns across global time zones. The platform now processes over 3.5 billion transactions daily including 100 million lighting commands, representing a 1,150% increase in traffic over the past decade while maintaining response times under a few hundred milliseconds.
Simular, part of the Google for Startups Cloud AI Accelerator, is creating personal AI agents that can use computers like a human.
Snap has deployed the multimodal capability of Gemini within its “My AI” chatbot and has since seen over 2.5-times as much engagement within Snapping to My AI in the United States.
*Transsion, a leading mobile phone manufacturer with 14% global market share, built AI features for its TENCO CAMON 40 series smartphones using Gemini Flash and Imagen on Vertex AI, including a multimodal assistant named Ella that responds in 0.23 seconds. The phones support text translation in 136 languages, voice translation in 44 languages, and photo translation in 51 languages, bringing advanced AI capabilities to users in emerging markets.
Twilio, a leading customer engagement platform, delivers the data, communication, and AI tools businesses need to create personalized customer experiences at scale.
*VideoShow, a mobile video editing company with nearly 400 million users globally, uses Gemini Flash, Natural Language AI, and Text-to-Speech AI to power its AI Chat language assistant product that provides accurate, emotionally intelligent conversational experiences. The assistant launched in just 3 weeks from concept to deployment using Google Cloud’s multimodal AI capabilities.
*vivo, a global smartphone maker serving over 500 million users across 60+ markets, integrated Gemini on Vertex AI and Speech-to-Text with Chirp to deliver multi-language writing, summarization, and transcription features in its smartphones. The company launched its first AI phones in 2024, with the X series and V series demonstrating strong market acceptance as vivo continues expanding these AI capabilities to more users worldwide.
2bots offers technology solutions, such as chatbots and virtual agents, built with Google Cloud’s AI solutions; these intelligent chatbots and content generation tools are transforming the way companies interact with their customers.
*AMD, a leader in high-performance computing, built a finance chatbot using Vertex AI and Cortex Framework to accelerate cash-flow forecasting. The generative AI solution enables the finance team to use natural language queries to access and analyze data from SAP systems.
*AMD, also developed a generative AI chatbot for its HR team using natural language processing to access information from SAP systems. The chatbot allows HR staff to quickly find the information they need through conversational queries.
*Appier, a SaaS company providing AI-powered marketing and advertising solutions to over 1,800 global brands across 17 offices in Asia Pacific, the US, and Europe, uses Translation AI integrated with its team communication platform to accelerate collaboration within its multilingual team. The instant translation feature allows employees to exchange ideas in their native languages and see translations alongside original text in the same window, eliminating the need to copy-paste between separate tools.
Augment, an AI-powered software development platform, is building an AI personal assistant that offers enhanced note-taking and collects information across your apps, including calendar, email, texts, and social media, so users can more quickly and easily find personal information and keep their lives organized.
*Autonom8 uses Vertex AI, Gemini, and Vision AI to help enterprises build autonomous, agentic workflows on its low-code platform, achieving productivity gains in excess of 3x and a 2x acceleration in response times. The company found Gemini models superior to a leading competitor at 10x lower cost per token, enabling Autonom8 to deploy chatbots and generative AI workflows to customers in several hours.
*Bobble AI, a conversational keyboard platform with over 50 million users, integrates a third-party generative AI solution to enable voice-to-text conversion and AI-generated content recommendations. Migrating to Google Kubernetes Engine reduced overall cloud costs by 15%, achieved a 99.95% API success rate for real-time personalization, and accelerated incident investigation from days to real-time through Cloud Logging and Managed Service for Prometheus.
Box has integrated Vertex AI to build new gen AI features that help customers more efficiently process and analyze data stored in the Box Content Cloud, including deep-learning-based malware detection, timely alerts about unusual activity, and content classification that can automatically protect data.
Causal‘s mission is to simplify financial planning for startups. Wanting to boost performance and maximize its time and talent, Causal used Gemini to build a generative AI-powered setup wizard that helps users connect their data, analyze patterns, and generate financial models in just five minutes.
Clodura.ai built a sales co-pilot using Vertex AI that analyzes organizational data to help B2B sellers close deals; the Vertex platform led to 71% less technical debt, 12-times faster app delivery, and resulted in significant customer growth.
Devoteam is investing in AI by obtaining 4,000 Gemini Enterprise licenses to enhance productivity and collaboration, with the aim of becoming a leader in AI innovation and strengthening its ability to guide customers in their own AI journeys.
Fireflies.ai can transcribe, summarize, and analyze meetings, recordings, and other voice conversations to save time and improve collaboration and information sharing across teams.
*Flashpoint, a global leader in threat intelligence, relies heavily on Gemini for Google Workspace to help power its operations.
*Fullstory, a behavioral data platform helping brands understand customer interactions, uses Gemini to take meeting notes, summarize them into structured format, and turn them into 30-second video scripts. The team plugs scripts into Google Vids to create videos with voiceover and imagery for customers, prospects, cold outreach, and event promotion.
Glean builds on Vertex AI and BigQuery to deliver powerful, unified enterprise search across all workplace applications, websites, and data sources used within an enterprise, helping users find exactly what you need and discover the information you need to do their best work.
*Gobii provides AI agents that automate complex web tasks like forms and workflows directly in the browser. To power these intelligent agents, Gobii leverages Google Cloud, utilizing Vertex AI and our scalable GKE infrastructure.
*Goodlord, a RentTech platform that allows letting agents to manage properties and handle the entire lettings process, uses Gemini in Google Workspace to automate note taking and draft and refine emails. After the initial rollout, users were saving an hour or more per week by automating these tasks.
*Guane, a Colombian AI company, uses Vertex AI with Gemini 1.0 and Document AI to power AURA for law firms, automating the analysis of land restitution sentences and embargo notices. The platform reduced land restitution sentence processing from 12 hours to 6 minutes and processes hundreds of thousands of embargo documents in minutes.
LiveX AI delivers AI Agents that swiftly enhance product education, boost customer conversion, reduce churn, and provide personalized customer support, with the goal of offering everyone a seamless VIP experience across their customer journey.
Lytehouse provides instant video intelligence for any CCTV camera, enabling businesses to extract security, operational, and business insights from their video data by having multimodal gen AI agents monitor their cameras 24/7 — acting as coworkers for their business.
*Macro, an AI productivity platform, uses Gemini to modernize knowledge work by offering a unified workspace with features like multi-document chat and editable mind maps. The platform simplifies complex workflows and scales with demand for over 125,000 users in legal, finance, and education, while offering enterprise-grade security, data privacy, and compliance.
Maqqie, a Dutch startup, worked with Rappit to transform the future of HR recruitment, harnessing the power Vertex AI and its pretrained models to pinpoint the best candidates from its pool of 43,000 profiles, increasing revenue and retention.
*OneClass, a Taiwan-based online education provider serving more than 120,000 K-12 students, uses Gemini models and Vertex AI to enhance study counselors’ productivity by 50% through automated lesson summaries and study reports. The company shortened cross-database data processing time from weeks to one hour with BigQuery and scaled from 1,000 to over 1 million daily users with zero downtime using Firebase.
*Parallel is using Gemini models to power new products including an API for AI agents to perform high-value tasks using web data.
Quantum Metric has introduced Felix AI, powered by Gemini Pro, to simplify digital analytics and decision-making. Felix AI automatically summarizes a user’s web or mobile session and consolidates the moments that matter most into short, readable summaries for customer service workers.
*Quench.ai, an AI workplace assistant that helps teams search across all company tools and data instantly, built its platform on Google Cloud using Cloud Run, Memorystore, and Gemini 2.5. The company reduced development time for a custom debugging tool by 85%—completing in two afternoons what previously took weeks—while giving customers faster access to the internal information they need to work productively.
Rubrik, a cybersecurity company, is leveraging knowledge agents in Agentspace to develop deeper customer insights and prepare for impactful sales interactions.
Salesforce is working with Google Cloud to create AI agents that work across both platforms using the newly launched Agent2Agent (A2) open protocol.
SAP is using Vertex AI and Gemini in its the SAP Business Technology Platform, so business users now have new opportunities to gain actionable insights from their data using natural, everyday language.
ServiceNow CRM works with Customer Engagement Suite, helping automate and personalize customer interactions across systems.
*Skyvern helps companies automate browser-based workflows with AI. Skyvern uses Large Language Models (LLMs) like Gemini 2.5 Pro and computer vision, to interact with websites, enabling it to automate tasks like filling out forms, procuring materials, and downloading invoices. Skyvern’s AI agents can adapt to website changes, making automation more robust.
*STACKIT, a subsidiary of The Schwarz Group offering sovereign Google Workspace solutions in Germany, uses Gemini to summarize email inboxes and efficiently manage email content. The AI helps employees work more productively while protecting against cyber threats through a secure, browser-based environment.
*Systalyze, an enterprise AI optimization platform founded by MIT researchers, uses Google Kubernetes Engine and Google Cloud’s AI infrastructure to help businesses deploy AI applications with up to 90% cost reduction. The company delivers 2-15x performance improvements across inference, fine-tuning, and training while maintaining complete data privacy, and is now available on Google Cloud Marketplace.
*TeknTrash Robotics, a UK company developing AI-powered waste sorting robots called ALPHA, built its Robots-as-a-Service platform on Google Cloud using Compute Engine, Cloud Data Fusion, and Cloud Storage to manage over 49 terabytes of hyperspectral imaging data. The company reduced simulation runtime dramatically and projects a 10% improvement in material recovery efficiency with potential future gains up to 50%.
*Temporal, a durable execution platform for developers, uses Vertex AI to enhance its customer support operations. The solution provides improved visibility into support trends by automatically categorizing 80% of support tickets, allowing the team to anticipate customer needs and identify new opportunities.
*tenXengage, an AI-powered channel success platform for technology companies, migrated to Google Cloud using Google Kubernetes Engine, Vertex AI, and Gemini, reducing deployment times by 50%. The company plans to integrate Gemini across the four pillars of its platform—incentives, deal acceleration, training, and partner engagement—while enabling its team to focus on high-value development activities.
TransCrypts leverages Llama on Google Cloud to bring its AI-powered copilot, Castello, to thousands of customers in a matter of days. The performance and cost-efficiency of TPUs allow them to deploy these advanced models at lightning speed, handling complex workloads that would otherwise be out of reach.
*Trellix, an AI-powered cybersecurity platform provider, uses Gemini embedded in Google Docs, Sheets, and Slides to conduct industry research. Team members save time by asking Gemini questions directly from their existing projects.
*Turing Enterprises uses Gems, customized tools and prompting within Gemini, to create career-focused AI assistants tailored to technical roles that upskill and validate technical proficiency for hundreds of team members. The company also deployed Google’s Career Builder Gem, which delivers personalized career guidance, motivation, and learning support, contributing to a 32% rise in team member satisfaction.
*Turing also built a custom AI model trained on internal knowledge to draft replies to HR support tickets, reducing ticket processing time by 33% after two days of development. The company has built Gems on track to automate 60% of 52,000 annual tickets by year end, freeing up staff for other HR tasks.
Typeface uses gen AI to allow brands to create captivating content that deeply engages customers at scale, improving operational efficiency while retaining branding consistency and control.
*Visma Tripletex, Norway’s premier cloud-based ERP system with 140,000 customers, uses Vertex AI and Gemini with BigQuery to automate customer support ticket summarization and categorization for 50,000 monthly queries. The solution saves the customer support team more than 8 hours per day on manual tagging and reduces customer issue analysis from two days to minutes, enabling product teams to quickly understand and address customer problems.
WebFX uses Gemini in Google Workspace to brainstorm content, write emails, and plan projects in order to save time and improve the quality of work.
*Zilliz, a San Francisco-based vector database company serving over 10,000 enterprise customers including Nvidia, PayPal, and Walmart, rapidly launched Zilliz Cloud on Google Cloud by developing 50-60 microservices within just a few months using Google Kubernetes Engine. During the peak AI boom period, the platform successfully added up to hundreds of clusters per day, with only three employees managing operations and maintenance for thousands of running clusters.
Bewe, a Colombian digital transformation platform for small and medium-sized enterprises, has created an assistant with Google Cloud’s generative AI that helps businesses in the region improve customer management and loyalty, increasing conversions and user satisfaction.
Birdie.ai Transforms customer feedback into insights for companies, with generative AI providing the support they need to take action. With this technology, the company has saved 3.5X more per text processed, and reduced data analysis time.
Bosch Digital, one of Europe’s leading technology and services companies, is leveraging Gemini models to make deeper connections with its global audiences: many business units have begun localizing marketing content for a diverse range of markets and demographics — saving time and costs.
ClearObject, a developer of visual AI services, is using Gemini for Google Workspace to boost both external and internal content creation, exemplified by its marketing team crafting a targeted LinkedIn strategy with Gemini’s assistance.
Features & Labels is a generative media platform for developers, accelerating the inference of gen AI models to improve the speed in which content is generated. The F&L team is working with Google Cloud to integrate its Veo 2 technology, empowering its users to create videos with realistic motion and high-quality output.
Higgsfield.ai built a number of text-to-video apps for consumers, including Diffuse 2.0, which can combine users’ photos, videos, and texts through AI models to create more realistic avatars.
Hunty, a Colombian HR startup, automated, scaled, and streamlined its hiring processes with generative AI solutions, helping clients improve candidate interviews and selections, and facilitating hiring.
*Infinite Reality, a company that helps online retailers and other industries build immersive 3D worlds for consumers, recently began using Gemini models on Google Cloud to help Infinite Reality customers quickly design and build AI-generated experiences.
Jasper trains its suite of creativity-, writing-, and marketing-focused AI models on Google’s AI infrastructure, delivering on-brand, data-optimized assets faster and at scale to teams large and small.
*Learner Net, an edtech company serving a global community of over 20,000 learners, uses Gemini models and Vertex AI to scale content. With Google Cloud, the company achieved a 20-fold jump in content creation.
*Mediology Software, a digital publishing agency serving publishers across India, integrated Vertex AI and Gemini into its SORTD product set to deliver AI-powered content operations including video analysis, content summarization, image generation, and metadata enrichment. The company lowered the average time to create a news article from a one-hour video from up to three days to just three hours.
Nerdmonster, a digital platform serving over 40,000 retail establishments in Brazil, uses Gemini to automatically classify and analyze images and videos from client stores, transforming visual content into actionable data and alerts. The implementation reduced operational costs by up to 40% while processing 200 to 300 images in seconds, enabling clients to understand consumer-generated content without manual categorization.
*NightCafe Studio, an AI art generation platform serving 25 million users, scaled from thousands to millions of AI image requests monthly using Firebase, Cloud Run, and Vertex AI with a team of just four engineers. The bootstrapped company has generated over 1 billion images and handles over 100 TB of user-generated content with Cloud Storage.
Pix Force is part of the visual inspection sector and is investing in gen AI to collaborate on around 80% of document reading services. The company reduced the time to read documents and personal authorizations from three days to 15 minutes.
Scaleup has created an AI-based technology that transcribes video lessons and generates subtitles in up to seven languages. This innovation improved content absorption and reduced student dropout rates before the end of the course by 17%.
*Sivi, an AI design generator, built Large Design Models on Vertex AI and integrated Gemini to create a conversational interface that generates personalized designs in over 70 languages. The company reduced design brief formation time by more than 50% and achieved engagement rates of up to 45% with the conversational model compared to traditional user interfaces.
*STACKIT, a subsidiary of The Schwarz Group offering sovereign Google Workspace solutions in Germany, uses Gemini in Google Workspace to enable rapid creation of graphics and videos and quickly generate content. The AI capabilities optimize collaboration and boost productivity while maintaining the highest level of security.
Trakto has launched a platform that uses generative AI to automate ad creation at scale. The initiative allows for quick text generation and text-to-speech conversion, providing customers with a complete and scalable marketing solution. Brazil, Technology.
*Trimble, a global industrial technology leader with 12,000 employees, uses Google Vids with AI voiceover tools to create polished, branded video content and training materials. Employees generate professional narration by typing scripts, create videos for hardware assembly and troubleshooting, and replace lengthy meetings with short, focused videos for project proposals and updates.
Typeface enables users to automate marketing workloads and across teams with its Arc Agent, which supports marketers with campaign performance, creative content creation updates, and audience optimization.
Urmobo, a mobile-device management platform, created a virtual agent, Odin, that significantly improved user experience and reduced support tickets by enabling clients to interact with the platform using natural language.
*VideoShow, a mobile video editing company with nearly 400 million users globally, uses Gemini Flash on Vertex AI to generate creative text and story scripts, and Imagen 3 to create images from simple prompts that its proprietary algorithm converts into short videos. The AI-powered features enable one-click video creation, reducing the complexity barrier for new users and saving 3 months of model training time.
accessiBe develops technological solutions that help businesses do the very best they can to tackle web accessibility. Google Cloud AI helps accessiBe streamline its development process, reducing time-to-deploy by 5X; accessiBe’s solutions, accessWidget and accessFlow, run on a 100% serverless environment and improve the accessibility of over 23,000 business websites
Ai2‘s full portfolio of open AI models are accessible on Vertex AI Model Garden.
Anyscale’s Ray compute engine has made it easier for developers to scale the most complex workloads such as multimodal data processing, model training, and inference across traditional and generative AI. Ray is built using GPUs and TPUs on Google Cloud, offering greater AI infrastructure flexibility to users.
Anysphere, the startup behind the AI-powered code editor Cursor, has integrated advanced AI features like autonomous agents and codebase-aware chat into its platform. Cursor aims to create a highly effective human-AI programmer by automating tasks, understanding entire codebases, and accelerating development velocity, using models like Gemini and Anthropic’s Claude on Google Cloud’s Vertex AI.
Arize AI, an AI agent and engineering platform, partners with Google Cloud to help organizations successfully develop, evaluate, and observe their generative AI applications. The Arize AX platform seamlessly integrates with Vertex AI models and runs on Google Kubernetes Engine (GKE), which allows a very lean operations team to easily scale services and provide deep visibility into every layer of AI systems.
*aSim, an AI-powered mobile app development tool, allows you to quickly generate, share, and discover mini-apps. Users can instantly generate an app from a prompt, leveraging APIs/LLMs like Google Maps and Gemini, as well as image and video generation from Nano Banana and Veo 3.
*Augment Code, an AI coding assistant, integrated Anthropic’s Claude 3.5 Sonnet via Vertex AI to power its codebase chat feature. This delivered an instant improvement to chat performance after quick implementation, enhancing security and allowing customers to build and troubleshoot code faster.
*Aviator, an engineering productivity platform, uses Google Kubernetes Engine, Vertex AI, and Gemini to scale its engineering productivity platform to thousands of users while accelerating the development of new generative AI features.
Box is already leveraging Gemini 2.5 to deliver more sophisticated, higher-value applications.
Canonical collaborated with Google Cloud to optimize Ubuntu as a trusted, AI-ready infrastructure, designed for sovereignty, scalability, and control, serving a range of data-intensive use cases.
Cognizant uses Gemini and Vertex AI to assist in software development, improving code quality and developer productivity. By integrating Gemini into its internal operations and platforms, Cognizant aims to enhance insights, optimize processes, and improve user experiences.
Crew AI is providing agent-building frameworks in Vertex AI, so organizations can streamline workflows across industries with powerful AI agents.
*DataCurve, a frontier coding data analytics provider, addresses complex data challenges by combining Web3 and generative AI on Google Cloud. Its platform uses AI agents for deep data analysis and Web3 for data authenticity, delivering insights that help customers take action and improve engagement.
*DeepSource, a platform for code quality and security, leverages Gemini and Google Kubernetes Engine (GKE) to help developers automatically analyze and remediate code. The platform uses Gemini-powered AI agents for its Autofix™ remediation engine, which increases the accuracy of its static analysis and provides automated fixes. Running on GKE, DeepSource can automatically scale to process tens of millions of lines of code per day, reducing operational costs and accelerating time to market for over 6,000 companies.
*Factory AI, a platform for agent-driven software development, accelerates engineering by unifying context from sources like GitHub and Jira to delegate tasks like feature development and migrations. It uses Gemini 2.5 Flash for data ingestion and Gemini 2.5 Pro for advanced code/document generation.
*Fireworks AI, a generative AI platform, uses Google Kubernetes Engine and Compute Engine to run its fast and efficient inference engine. This enables the company to process over 140 billion tokens daily, offering customers high uptime and throughput with lower latency and costs.
HydroX AI, part of the Google for Startups Cloud AI Accelerator, automate risk evaluation and compliance for gen AI models, helping to prevent unintended consequences and harmful behaviors so businesses can fully harness AI potential without sacrificing safety.
Instalily, part of the Google for Startups Cloud AI Accelerator, is building a vertical AI agent platform that can build and operate entire teams of specialized AI agents that help automate B2B workflows across various departments.
Kahuna Labs, part of the Google for Startups Cloud AI Accelerator, is building the industry’s first AI platform purpose-built for technical product support.
Labelbox has built a fully managed AI model evaluation solution directly integrated into the Vertex AI platform, allowing Google Cloud users to seamlessly launch human evaluation jobs and set specific criteria for evaluation, such as question-answering and summarization; this eases and accelerates the ability to deploy human-in-the-loop AI systems with higher levels of trust and authority.
Linear, a product development platform, built Similar Issues, a feature that uses AI to detect and prevent duplicate or overlapping tickets and ensures cleaner and more accurate data representation.
*Lovable, an AI software engineer, leverages Google Cloud’s Vertex AI to deploy and unify its core language models, including Gemini and Anthropic’s models. This unique orchestration enables users to create complete, full-stack web applications from plain English descriptions, effectively cutting the time required for prototype development from weeks to minutes and app development from months to hours.
Magic is building a developer platform with a 100-million-token context window, so organizations can upload extremely large code bases and more easily query and build on them using gen AI assistance.
Meta has partnered with Google Cloud to offer its Llama models on Vertex AI. The Llama models prioritize accessibility, efficiency, and privacy, with a focus on responsible innovation and system-level safety.
NetApp allows organizations to build AI agents with Agentspace directly on their existing NetApp data — no data duplication required.
Pinecone provides infrastructure for developers to build accurate, secure, and scalable AI applications, allowing companies to easily ground gen AI apps in their proprietary data for use in AI search, retrieval-augmented generation, coding agents, and more.
*Qodo addresses critical code quality concerns with an agentic platform that works within existing developer workflows. Qodo integrates into Vertex AI Model Garden and provides automated pull request reviews at no cost to open-source projects.
Quantiphi saw developer productivity gains of more than 30% during its Code Assist pilot.
*Quanscient, a Finnish cloud-based multiphysics simulation platform company, built an anomaly detection tool using Gemini Flash that verifies simulation designs for flaws before users run them. The solution uses knowledge from previous simulations to flag errors immediately, saving users money on failed simulations and time spent troubleshooting.
*Quanscient also developed a coding assistant using Gemini models on Vertex AI that generates Python simulation code from natural language descriptions. The solution makes the platform’s coding API accessible to users without strong programming knowledge, enabling them to design complex simulations through conversational prompts.
Replit, on a mission to empower 35 million users to build applications regardless of coding experience, uses Claude 3.5 Sonnet on Vertex AI to power Replit Agent, which transforms natural language prompts into working applications deployed to Cloud Run in minutes. The AI agent has enabled over 100,000 application deployments, including projects that have grown into companies worth tens of millions of dollars, while saving users hours or weeks previously spent on coding and debugging.
*Resolve AI, an always-on AI SRE, autonomously investigates incidents and helps run production systems using code, infrastructure, and observability data. With the intelligence and performance of Gemini on Vertex AI, Resolve AI improves MTTR, reliability, and engineering velocity for its customers.
Safe Superintelligence is partnering with Google Cloud to use its TPUs to accelerate its research and development efforts toward building a safe, superintelligent AI.
*Sieve, an AI research lab focused on video data, builds multimodal AI systems to automate dataset creation, improve data quality, and provide relevant metadata that powers frontier model training. Sieve uses Vertex AI for large-scale video processing, content moderation, and indexing, including tasks like text recognition, captioning, and enrichment.
Snorkel AI, an AI application development company, uses Google Cloud to deploy Snorkel Flow, a data-centric platform that accelerates AI application development by up to 100 times. This platform makes AI development easy by reducing AI development time, labeling data in minutes, and adapting to data changes without manual relabeling.
*spring.new, a platform that enables anyone to build custom business applications using natural language, runs on Anthropic’s Claude models and Gemini via Vertex AI with integrations to over 200 SaaS apps. The company helps customers achieve time savings of 95-99% on R&D projects, with users creating applications in 1-2 hours that previously took up to three months.
*Systalyze, an enterprise AI deployment platform, reduces the cost and complexity of AI. Through a partnership with Google Cloud, it reduces deployment costs by up to 90% and accelerates fine-tuning, inference, and agentic AI by 2–15x, while keeping data fully private and secure.
*Trimble, a global industrial technology leader, uses AppSheet to enable employees without coding experience to build applications from Google Sheets in 90 seconds. The no-code tool automates manual processes like data entry, allowing teams to create apps that simplify daily tasks with just a few clicks.
*Turbopuffer, a startup offering serverless vector and full-text search, uses Google Cloud Storage, Google Kubernetes Engine, and Google Compute Engine to help AI businesses overcome the high costs and complexity of traditional database architectures. Its solution has reduced AI database cost by up to 90% for customers, manages over 1 trillion documents, and handles more than 10 million writes and 10,000 queries every second.
Turing is customizing Gemini Code Assist on its private codebase, empowering its developers with highly personalized and contextually relevant coding suggestions that have increased productivity by around 30% and made day-to-day coding more enjoyable.
*Vercel democratizes access to AI models through its AI SDK and AI Gateway, making it seamless for developers to integrate agentic capabilities into their applications. By providing unified access to leading models like Google’s Gemini through a single interface, Vercel has enabled teams to build AI-powered features faster and more reliably.
*VESSL AI, an MLOps platform, uses Google Cloud to accelerate AI model development and reduce costs for its users. By leveraging Google Kubernetes Engine, VESSL AI can dynamically scale ML workloads, helping users create AI models up to four times faster and realize up to 80% savings on cloud expenditures. The platform’s integration with Vertex AI provides users with access to powerful models and AutoML solutions, further streamlining the MLOps lifecycle.
Weights & Biases, a creator of AI tools for developers, created W&B Weave, a lightweight toolkit to track, evaluate, and debug gen AI applications built with Gemini, so teams can confidently go from demo to production.
*Windsurf provides an AI-powered code completion and generation tool for developers. Their AI integrates directly into IDEs, offering suggestions, generating code, and refactoring existing code. Windsurf uses Gemini 2.5 Pro to power its coding assistance IDE, and to support integrations with Cognition’s Devin AI.
*Wipro, one of India’s largest technology companies offering IT services in over 165 countries, uses Gemini Code Assist to automate routine coding tasks and enhance developer productivity across its software development teams. The AI coding assistant has improved coding efficiency by 30%, freeing developers from repetitive tasks to focus on more complex, strategic initiatives that drive greater value for clients.
Writer builds and trains over 17 large language models that scale up to 70 billion parameters for custom AI models using Google Cloud and NVIDIA.
180 Seguros is powering its data management platform for employees with Google Cloud AI and BigQuery to improve operational metric tracking, allowing for 3X faster query times.
Addy AI is helping mortgage lenders and banks automate their lending processes with custom AI models trained on Vertex AI. For example, the platform can extract loan opportunity details from lengthy email threads with numerous attachments.
Agromai uses a unified platform, powered by Google Cloud, to provide financial institutions and insurers with highly accurate risk analysis of agricultural plots. Using AI models, the company has realized significant performance gains and can now classify up to 10 million hectares per day.
*AI Seer, a Singapore-based deep-tech startup, built Facticity.AI—a multilingual fact-checking platform named one of TIME’s Best Inventions of 2024 in the AI Category—using Cloud Run, Gemini, and Vertex AI. The company reduced backend latency from a peak of 14,693 ms to a low of 17 ms and now serves 66.67% more requests per second compared to November 2024.
AI21 Labs has partnered with Google Cloud to bring the power of the Jamba 1.5 Model Family to Vertex AI. This integration offers enterprises models designed to excel in high-demand tasks like summarization, reasoning, and creative content generation.
*Alphaus provides cloud financial management solutions that help companies optimize multicloud costs and billing, using BigQuery for data analytics and Google Kubernetes Engine for processing. By migrating their database to Spanner, they reduced monthly cost fluctuations from an average of 34% down to just 4% and cut data transfer costs by 99%.
Aluga Mais uses Vertex AI to analyze data and create a financial profile of its customers, checking civil and criminal proceedings, financial behavior, and income to the bureaucracy of the rental market in Brazil. With Document AI and BigQuery, the startup has also reduced the time for registration analysis from 90 minutes to just to 24 seconds.
Anthropic has partnered with Google Cloud to offer its Claude models — including the upgraded Claude 3.5 Sonnet and Claude 3.5 Haiku — on Vertex AI Model Garden. This provides organizations with more model options for intelligence, speed, and cost-efficiency.
Arquivei, which helps manage electronic tax documents quickly and securely, uses Google Cloud gen AI to discover insights and relevant data from a large volume of accounting data, as well as gaining the ability to convert tax reports into insights.
*Ask-AI solves the critical problem behind many generative AI project failures: missing context. Their Customer Context Layer unifies fragmented support data across Zendesk, Google Drive, Slack, and Salesforce, giving SaaS teams accurate answers, intelligent routing, and real-time account insights that strengthen customer relationships and improve retention.
*AssemblyAI, which builds speech-to-text and speech understanding models that solve complex audio intelligence problems like summarization and sentiment analysis, migrated to Google Cloud to train its Universal-2 model on 12.5 million hours of audio—10 times larger than its previous model. The migration delivered a 75% reduction in data storage and infrastructure costs, decreased model evaluation time from 24 hours to 20 minutes using Vertex AI, and enabled the company to release its Universal-2 model in less than six months.
Atlantia.ai, a Mexican startup, is using Vertex AI and Vertex AI Search to build a platform allowing users to compare product offers in real-time based on preferences and location.
Birdie.ai specializes in customer feedback analytics that provides actionable insights to companies. Using Gemini 1.5 Flash and Vertex AI, Birdie achieved a 9% improvement in model accuracy to attain a 96% accuracy rate while reducing the processed unit costs by 15%.
*Box uses Gemini on Vertex AI to develop an AI-driven metadata extraction feature that automatically captures data from large documents such as contract expiration dates and structures it for workflow integration. The solution eliminates manual processes that can consume hundreds of hours per year at enterprise companies, handling both digital documents and handwritten content while making sense of unstructured financial documents and contracts.
Bosch SDS, which supplies technology and services globally, has integrated sustainability into its core operations. Using Google Cloud Kubernetes, BigQuery, and Firebase to manage and scale solutions, build an AI-based cognition engine, and provide real-time alerts, Bosch SDS reduced energy costs by 12%, improved indoor comfort, and better usage of renewable energy.
Climate Engine and Robeco are using AI and geospatial technologies with their scientific expertise and investment knowledge to inform how publicly traded companies’ actions impact biodiversity.
Cohesity is integrating with Agentspace to provide employees with greater data discovery for better decision-making, while also increasing security.
Collato‘s Vertex AI-powered assistant allows users to instantly transform raw information, including audio recordings, text, and images, into structured, polished documents, enabling users to create documents, such as requirements documents and user research summaries, in a matter of seconds.
Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases.
*Crescendo Lab, a provider of marketing technology solutions for e-commerce brands, uses BigQuery to analyze TB-level daily data from LINE user interactions for precise audience segmentation. This shift allows clients to generate crucial consumer segmentation reports in five minutes, a process that previously took up to five hours, enabling instant marketing strategy adjustments before major campaigns.
Elastic, a leading search analytics company, partnered with Google Cloud to help SREs and SecOps use gen AI to interpret log messages and errors, optimize code, write reports, and even identify and execute a runbook.
Eon.io, a cloud data protection platform, uses Google Cloud Storage and BigQuery to transform backups into AI-ready data lakes. This allows its customers to eliminate fragmented data silos, reduce secondary storage costs by up to 98%, and improve data recovery times by up to 90%.
Essential AI, a developer of enterprise AI solutions, is using Google Cloud’s AI-optimized TPU v5p accelerator chips to train its own AI models.
fileAI leverages proprietary AI to automate the processing of any file end-to-end directly into any system without manual intervention. Built for finance, logistics, and insurance teams, fileAI’s AI workflows unlock unstructured data in 90% less time, saving users up to 80% in costs.
*Globant, a global technology company with over 31,000 employees and multi-year Google Cloud Partner of the Year, built a financial data warehouse using BigQuery with Gemini to automate report generation and data analysis. The self-service platform eliminated 100% of manual report generation, reduced query resolution time by 80%, and created a single source of financial truth across multiple business units acquired through rapid company growth.
*Guane, a Colombian AI company, uses Vertex AI with Gemini to power AURA for logistics companies, automating cargo transport quotes and maritime contract analysis. The platform reduced cargo transport quote generation from 30 minutes to 30 seconds and maritime contract processing from 8 hours to 30 minutes.
*Guane also uses Vertex AI, Gemini, and Document AI to power AURA for law firms, automating the analysis of land restitution sentences and embargo notices. The platform reduced land restitution sentence processing from 12 hours to 6 minutes and processes hundreds of thousands of embargo documents in minutes.
Hebbia, the AI platform for knowledge work, has integrated Gemini models into its Matrix platform, which helps organizations build AI agents capable of working across all of their data.
Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software.
Humanizadas specializes in data intelligence for companies and used Gemini to automate the classification of online comments as toxic or those that identify people; it also optimized the extraction of information from PDFs. These have reduced the time required for these operational processes by 95%.
Infosys, a global leader in next-generation digital services and consulting, optimizes digital marketplaces for a leading consumer brand manufacturer on Google Cloud, providing actionable insights on inventory planning, promotions, and product descriptions.
Intelligencia AI is using AI models to research novel new drugs, relying on Google Cloud’s AI-optimized infrastructure to deliver scalable research that is accurate and transparent to meet the stringent needs of medicine.
*Inworld, an AI platform for builders of consumer applications, uses Google Cloud and Gemini to cost-effectively handle tens of millions of concurrent users with response times measured in milliseconds, meeting strict requirements for quality, cost control, and security.
Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. The company also developed a text-to-image generator called Karlo.
*LG AI Research developed EXAONE 3.5, an enterprise-focused large language model using Vertex AI and Google Cloud’s GPU infrastructure, achieving 56% faster inference and 72% lower costs compared to EXAONE 2.0. The 7.8B parameter model is optimized for domain-specific tasks and will be distributed through Vertex AI’s Model Garden, with all training, inference, and deployment managed on Google Cloud with isolated tenant architecture for data security.
*MaestroQA, a conversation analytics data platform, is leveraging Gemini to enhance its AI-powered conversation analytics. By using Gemini, MaestroQA is improving its ability to analyze customer interactions across every channel, providing deeper insights that help businesses boost customer satisfaction and drive growth and retention.
Mistral AI has partnered with Google Cloud to offer its range of models — including Codestral for code generation and Mistral Large 24.11 for complex tasks like agentic workflows — on Vertex AI.
*MLtwist, an AI data pipeline services company, processes, transcribes, translates, and labels large, complex data streams for enterprise applications. It uses Gemini and AI Studio for transcription and labeling tasks, saving approximately 63% of the time required to process even highly illegible documents.
*mov operates Kuchikomi.com, a store support SaaS platform that uses Vertex AI, BigQuery ML, and Natural Language AI to analyze customer reviews from Google Maps and 19 other platforms. The platform’s AI-powered review analysis and sentiment detection help store managers respond to customer feedback efficiently, with over 2,000 unique users accessing the system within six months of launch.
Naologic, an AI application platform, uses Gemini APIs, Google Kubernetes Engine , and MongoDB Atlas on Google Cloud to build apps on top of legacy ERPs. The solution delivers fast query responses regardless of complexity, enabling powerful, natural-language chat and scaling for complex AI workloads like RAG and image search.
*New Aim, Australia’s largest private ecommerce technology company, migrated to Google Cloud to power its Dropshipzone marketplace and AirOxy.AI analytics platform for small to medium businesses. The company improved service availability from 97% to 99% and reduced infrastructure incident response time from hours to just 15 minutes.
*NTT Data used Cloud TPU to build domain-specific pre-trained models for government document classification and search, achieving 20 times faster training speeds than standard processors. The project successfully created six types of specialized machine learning models through over 100 training iterations, enabling accurate classification and search of government documents with complex, specialized terminology.
NVIDIA is offering Google Distributed Cloud with Gemini on its NVIDIA Blackwell processors, along with NVIDIA Confidential Computing, making AI available at the edge in new ways for regulated industries and countries.
OpenText offers its managed services on Google Cloud, enabling users to quickly find fast, accurate answers to inquiries that span a broad set of business domains, such as DevOps, customer service, and content management.
Oracle has now integrated the full range of Oracle Database services, running on OCI, with BigQuery, Gemini, and Vertex AI.
*Parseur, a Singapore-based AI document processing platform with four team members supporting more than 50,000 users, implemented Gemini Flash and Document AI to extract data from emails and PDFs at scale. The company attributed 36.2% of overall revenue to Google Cloud AI services and grew its customer base by 50.4% year-on-year since introducing the Gemini-powered document extraction system.
Persistent Systems has developed FinSight, a tool for analyzing financial documents Form 10-K or investment prospecta, allowing users to query the documents using natural language facilitated on Gemini models.
*President Information Corporation (PIC), a Taiwanese IT provider for the retail industry, uses Vertex AI Vision and BigQuery to create omnichannel marketing solutions. By analyzing consumer behavior, PIC helped an ecommerce client double its platform’s conversion rate.
*Pro-Vigil, the largest fully customer-committed provider of video-based solutions in the US with 30,000 onsite cameras, migrated to Google Cloud to optimize its AI-enabled remote video monitoring platform. The company processes over 70 million video events monthly and is on track for significant performance improvement and cost optimization.
*Quadance, an India-based AI and automation company, used Gemini to process two million images and corresponding names from college yearbooks within one month. The company reduced development effort for the project by 50% and added a Gemini-integrated chat interface to its document storage system for faster, more relevant responses.
*Satlyt, a space compute leader, enables in-orbit AI workloads by orchestrating intersatellite communication and routing. It uses Google Cloud’s Kubernetes Engine, Vertex AI, and scalable data infrastructure to deploy AI agents and plans to deploy Google’s Gemma models in orbit.
*Schibsted Marketplaces, a leading online classifieds group in the Nordic region, migrated its recommendation engines to Bigtable and BigQuery to support machine learning model development across mobility, real estate, employment, and re-commerce verticals. The company reduced infrastructure costs by 70% while improving data access speed, allowing data scientists to develop and deliver models faster with a shorter time to market.
*SE3 Labs, a 3D computer vision and AI company, uses Cloud Run to deploy advanced AI model technologies that create “Spatial GPTs,” which are essentially AI models that can understand and interact with the world in 3D.
StarCloud, part of the Google for Startups Cloud AI Accelerator, wants to transform the paradigm of hyperscale data centers, enabling the future of AI by providing the largest training clusters on data centers in space.
Story, a purpose-built intellectual property blockchain, is working with Google Cloud to use its Web3 services and infrastructure to bring new capabilities to developers on its platform.
SuperSign’s platform facilitates digital contract signing processes with Gemini, as well as creating solutions focused on contract summaries and comparisons, opening up new opportunities in the market.
Teradata helps analyze, categorize, and summarize customer inquiries or complaints by using Google Cloud’s multimodal capabilities to process text and voice data, identify key trends, and uncover actionable insights to enhance customer loyalty.
*Trellix, an AI-powered cybersecurity platform provider, uses Gemini embedded in Google Workspace to build Looker Studio dashboards and draft formulas with correct syntax for calculated fields. The AI eliminates monotonous manual formatting work and allows the team to focus on analysis.
*Trimble, a global industrial technology leader operating in 40+ countries across construction, agriculture, and transportation, uses Gemini in Sheets to help employees create complex calculations with natural language commands. The AI summarizes long documents, generates content, and plans projects, achieving 77% adoption and making Gemini one of the company’s top three Workspace applications.
ThoughtSpot uses its AI agent — Spotter — to empower customers to do deep data analysis using autonomous analytics capabilities and an AI-powered chat interface.
*Us Media, a 25-year-old Dutch digital development company with around 20 employees, uses Google Cloud and Vertex AI to build platforms for NGOs and socially engaged organizations, managing nearly 100 projects. The company transformed archive searches from 30 minutes to several days down to a few seconds using AI, while accelerating development cycles to deliver impactful solutions for mission-driven clients.
*Wipro, one of India’s largest technology companies offering IT services in over 165 countries, uses AI-powered Recommender tools to analyze its Google Cloud environment and identify inefficiencies such as unattached storage disks, idle VMs, unused IPs, idle custom images, and suboptimal configurations. The AI-driven insights enabled Wipro to implement targeted optimizations including rightsizing virtual machines and shutting down unnecessary projects, achieving multi-million dollar annual savings.
Zippedi, a Chilean data capture platform, uses Google Cloud’s gen AI to power its robots and deliver real-time insights to its customers. These AI-powered robots store and process information to generate insights that optimize decision-making. The company’s retail clients achieve ROI between 4x-10x with up to 3% sales increases.
*Ajax Systems, a Ukraine-based security systems manufacturer protecting over four million individuals in 180+ countries, uses Gemini to automatically tag Drive documents by security level. The AI tagged 50% of all documents in one month, with totals growing by 1.5x per month until all documents were labeled, minimizing classification errors and strengthening data loss prevention.
Anjuna Security, a leader in Confidential Computing, is partnering with Google Cloud to enable the secure and trustworthy use of enterprise AI workloads in the cloud. Leveraging Confidential VMs on C3 machines with Intel TDX technology, the solution ensures that data, code and models remain protected at all times — even during processing — eliminating risks of unauthorized access and tampering.
AppOmni harnesses the diverse capabilities of Vertex AI in its gen AI-powered security companion, AskOmni, to provide deeper intelligent contextual security assessments to help customers manage SaaS security more efficiently.
*Aptori, an AI security company, detects vulnerabilities in AI-generated code, prioritizes risks, and automates code fixes in real-time. Aptori uses Gemini to analyze code for security weaknesses and generate context-aware fixes, integrating its AI Security Engineer directly into developer workflows.
Behavox is using Google Cloud technology and LLMs to provide industry-leading regulatory compliance and front office solutions for financial institutions globally.
Broadcom is modernizing its infrastructure and building a scalable and secure platform for growth, including SymantecAI, powered by Vertex AI, to provide better security monitoring and Zero Trust protection.
*Chainguard, a software supply chain security company, uses Google Cloud Run and Google Kubernetes Engine to provide developers with secure open-source building blocks. Its serverless architecture streamlines operations and product development, reducing infrastructure management costs and enabling them to scale effortlessly to meet increasing user demand.
*Clavata.ai delivers an integrated AI governance and safety platform with an intelligent, multi-modal, real-time evaluation engine powered by Gemini. Our tools enable proactive policy enforcement, dynamic debugging, iteration, observability, and problem prevention.
Exabeam has built a gen AI copilot for security analysts into its New-Scale Security Operations Platform.
*Fivecast, a provider of open-source intelligence (OSINT) solutions for government, security, and financial institutions, uses Vertex AI and Gemini on Google Cloud for AI-driven threat detection and risk assessment. The platform delivers a 400% ROI for intelligence analysts and significantly improves risk assessment quality and efficiency, while Google Code Assist accelerates product development.
*Galileo, an AI observability and evaluation platform for building trustworthy AI applications, addresses the critical challenge of mitigating LLM unpredictability and hallucinations. Using Gemini to build its “evaluation agents” and running on a scalable Google Cloud infrastructure with NVIDIA GPUs, Galileo provides a holistic “trust layer” for reliable AI. This has enabled customers to de-risk over 1,000 AI applications, while go-to-market support from the Google for Startups Cloud Program helps Galileo accelerate growth and unlock new opportunities.
*Moii.AI, a software startup that transforms CCTV cameras into autonomous safety and productivity agents, uses Gemini models, Vertex AI, and BigQuery to analyze video footage and detect workplace hazards in real time. What used to take five people manually scrubbing through footage for two to three days is now a five-minute search.
NetRise developed Trace to provide software supply chain security by introducing AI-powered intent-driven searches; these allow users to search their assets based on the underlying motives or purposes behind the code and configurations, rather than solely relying on signature-based methods.
NewPush, a cybersecurity company, uses Google Workspace to significantly improve efficiency and security. Gemini automates time-consuming tasks like threat research and content creation, saving analysts 12 hours a week, allowing employees to focus on more strategic work.
Palo Alto Networks, a leading cybersecurity provider, is using Gemini to create a grounded AI assistant for 24/7 security platform support in order to improve agent efficiency and response time; grounding the assistant in organizational data and security protocols has greatly improved the accuracy of responses.
Palo Alto Networks’s Cortex XSIAM, its AI-driven security operations platform, is built on more than a decade of expertise in machine learning models and the most comprehensive, rich, and diverse data store in the industry.
*Palo Alto Networks uses NVIDIA Triton Inference Server with NVIDIA GPUs on Google Cloud Compute Engine to power AI-driven threat detection for its data loss prevention platform. The migration from a previous cloud provider substantially reduced machine learning latency and costs while enabling near real-time detection and response to cyberattacks, leading Palo Alto Networks to plan migrating all remaining workloads to Google Cloud.
*Prediction Guard is using Google Cloud services like Confidential Computing and Vertex AI to support its platform for added gen AI safety.
Rapid7 worked with Ask AI to implement Gemini models for more efficient cybersecurity support, delivering a 30% decrease in case handling times and a 35% increase in agent capacity for better customer experiences.
*Resistant AI, an AI-powered security company, uses Google Cloud to build solutions that combat fraud in financial services documentation and workflows. Running on Google Cloud infrastructure, the company’s specialized document fraud detectors scrutinize financial documents in 500 different ways, helping to protect automated workflows like those using Google’s Document AI from sophisticated financial crime.
Securiti AI has pioneered AI risk management and security with its Data + AI Command Center, a centralized platform that enables the safe use of data and gen AI, providing unified data intelligence, controls, and orchestration across hybrid multicloud environments.
*Specular, an offensive cybersecurity platform, builds AI agents using Gemini 2.5 Pro to automate attack surface management and penetration testing. Their platform automates traditional workflows to identify, assess, and remediate cybersecurity, helping enterprises proactively prioritize and respond to threats.
Spot AI, a video AI startup, transforms passive security cameras into AI agents for improving security, safety, and operations in industries like manufacturing, retail, hospitals, construction and more. The team is using Google Cloud to power Iris — its new interface for building custom video AI agents.
Thales is developing a global Security Operation Centre platform based on Google Cloud cybersecurity technologies and expertise, including Google Security Operations platform, VirusTotal, and Mandiant Threat Intelligence, all powered by gen AI.
*Torq uses agentic AI to automate the entire security operations lifecycle through Socrates, an AI SOC analyst that coordinates specialized agents. Running on Google Cloud’s infrastructure, teams achieve 90% automation of tier-1 analyst tasks auto-remediated without human involvement, 95% decrease in manual tasks and10x faster response times.
Transparently.AI‘s Manipulation Risk Analyzer generates highly accurate risk reports for any organization — and for any financial year — within seconds, using AI algorithms to dig deep into large financial data sets, unearthing accounting red flags that the human eye might miss.
Unico, a Brazilian technology company that validates people’s real identities to ensure data privacy, puts Google Cloud’s AI technologies at the core of some of its data protection solutions to help manage scale and security.
*Valiance, a deep company in India, uses Google Cloud to power an AI-driven wildlife detection system that processes 7 billion images and 30 TB of data monthly through real-time camera surveillance. The solution identifies wildlife species, triggers warnings, and alerts authorities in three seconds, reducing human fatalities from 57 to zero in deployed areas covering a population of approximately 5 million.
*Verihubs, an Indonesian identity verification company serving over 400 brands across banking, fintech, and healthcare, uses Google Kubernetes Engine to scale its verification services to over 30 million monthly requests with a 20% improvement in performance. The company leverages Gemini API and Vertex AI to develop a deepfake detection solution and created a ready-to-production service in two months through seamless integration.
*Virtusa, a global digital engineering and technology services provider for Forbes Global 2000 companies, uses Google Workspace with Gemini embedded in Docs, Sheets, and NotebookLM to help employees analyze customer data and trends, conduct industry research, and deliver technology solutions. The AI tools help Virtusa transform enterprise operations and provide better service to clients in financial services, healthcare, manufacturing, and other industries.
Wiz, an Israeli cloud security startup, helps security teams empower its data teams to deploy more useful AI applications faster and more responsibly; the startup created a Vertex AI integration that helps monitor and manage the security risks associated with running AI models.
*Zefr, a global leader in responsible AI, powers Fortune 500 brand advertising with safety and suitability on platforms like YouTube and TikTok. Using patented Cognitive AI with Gemini Flash and Vertex AI, Zefr analyzes video, image, audio, and text to deliver trusted, scalable solutions.
