Augment code integrated Anthropic's Claude within Google Cloud's Vertex AI to develop an AI-powered code assistant that provides expert-level contextual understanding of complex software systems. By automating code comprehension, debugging, documentation, and change propagation within development workflows, the solution dramatically reduced project timelines and sped up developer onboarding while ensuring SOC 2 Level 2 compliant security protocols.

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.

Wited revamped its learning platform by partnering with Google Cloud and Axmos Technologies to migrate from legacy systems to a robust infrastructure using Cloud SQL, Cloud Storage, Compute Engine, and Google Kubernetes Engine, ensuring reliable scalability and stability for high user demand. They then integrated generative AI by deploying Gemini and Vertex AI to power Max AI—a 24/7 virtual assistant that supports students through real-time assistance and educational guidance—thereby streamlining support processes and enabling the team to focus on innovation.

AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.

The Warriors overhauled their IT and data infrastructure with Google Cloud, integrating 30+ fan-facing data sources and analyzing over 100M data points to build a custom mobile app using App Engine and Firebase for a personalized digital fan experience. They implemented Gemini for Google Workspace to automate repetitive administrative tasks, streamlining internal processes and saving 41 hours per employee annually. Additionally, they are exploring Vertex AI to integrate natural language search with BigQuery, enhancing data-driven decision-making for both team performance and fan engagement.

Zapia, an AI assistant developed by BrainLogic, uses Anthropic's Claude on Google Cloud’s Vertex AI to engage in natural, localized conversations with Latin American consumers via messaging apps like WhatsApp. Claude's advanced multilingual support and understanding of regional dialects enable Zapia to assist users in discovering products, making purchases, and receiving support. Integration was quick, requiring minimal prompt engineering, allowing Zapia to scale rapidly to handle hundreds of thousands of messages per hour.

Palo Alto Networks, a leading cybersecurity company, uses Claude 3.5 Haiku and Claude 3.5 Sonnet on Google Cloud's Vertex AI to enhance developer productivity while maintaining security standards. They employ Claude models for specific development tasks, such as real-time code completion and IDE code chat for complex tasks like architectural explanations and complex code generation. This implementation helps both new and experienced developers to work more efficiently and securely.

Commerzbank partnered with Google Cloud to automate its financial advisory documentation process by integrating a multi-step generative AI pipeline. They implemented a user-friendly frontend and Java Spring backend to import and chunk client call recordings stored on GCP, which were processed using Gemini 1.5 Pro for diarized transcription, fact extraction, and summary generation, with quality assurance provided by Vertex AI Gen AI Evaluation Service. This automation streamlined the regulatory documentation workflow, enabling sales advisors to focus on high-value client engagements.

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

Moveo.AI centralized its LLM training on Vertex AI by consolidating its multi-cloud approach, leveraging A3 VMs powered by NVIDIA H100 GPUs to fine-tune large language models tailored for customer experience. The implementation integrated Dynamic Workload Scheduler for auto-scaling and optimized resource management, streamlining secure and efficient virtual agent operations.

Copel integrated Gemini Pro 1.5 to power a virtual agent that directly interfaces with their on-premises SAP ERP system using Google Cloud’s Cortex Framework along with Vertex AI, BigQuery, Dataplex, and Open Data QnA. The agent processes natural language queries from employees to deliver real-time insights, replacing manual data extraction and processing workflows. This integration improved data democratization and significantly accelerated decision-making across the enterprise.

To address scalability and fluctuating demand in the volatile crypto market, Coinbase implemented Claude for its customer support chatbot, agent assist tool, and help center search. This multi-cloud setup ensures high availability, rapid scaling, and secure, AI-driven support, streamlining operations and improving customer service quality.

Trace One implemented AI by integrating Google Vertex AI to automatically extract information from technical sheets and regulatory documents, map data between diverse systems, and compare texts and images for packaging compliance. The solution was developed following a successful proof-of-concept and then scaled into production using Google Cloud’s managed services, simplifying system integration and reducing operational complexity. This deployment streamlined their PLM and compliance update processes, minimizing manual intervention and optimizing accuracy.

Citi partnered with Google Cloud to migrate multiple workloads and applications to its secure, scalable infrastructure, integrating Vertex AI to enable generative AI capabilities for developer toolkits, document processing, and customer service workflows. This multi-year strategic initiative modernizes core IT systems, streamlines employee workflows, and enhances high-performance computing for Citi’s Markets business.

BMW Group, in collaboration with SORDI.ai and Monkeyway, deployed a generative AI system that scans a wide range of industrial assets and uses Vertex AI to produce detailed 3D digital twins. This automated solution replaces the slow, manual asset mapping process, enabling rapid simulation of multiple industrial scenarios to optimize planning and supply chain efficiency.

Pennymac, one of the largest lenders and mortgage servicers in the US, leverages Gemini for Google Workspace and Vertex AI to enhance efficiency while ensuring data security. The HR team uses Gemini for drafting job descriptions and policy documents, while technical teams use Gemini with proprietary data to improve the underwriting process by querying regulations and best practices.

Technogym integrated Google Cloud’s generative AI services including Gemini, Vertex AI, and BigQuery to analyze vast amounts of user data stored in Cloud Storage, enabling the creation of hyper-personalized workout, nutrition, sleep, and mindfulness programs. The AI-powered Technogym Coach is embedded into their digital ecosystem, streamlining fitness planning and enhancing customer engagement across both physical and digital channels.

Snowdrop revamped its merchant reconciliation process by migrating its MRS API to Google Cloud to drive global scalability and cost efficiency. They integrated BigQuery with Vertex AI to automate manual background research for enriching transactional data, using hyper-localized merchant information from the Places API to verify and match transactions. Cloud Service Mesh and Google Kubernetes Engine streamlined deployment across regions, transforming onboarding and data processing workflows.

Five Sigma developed Clive, the insurance industry’s first AI claims adjuster that integrates with legacy claims systems to automate claim intake, analysis, and processing. It leverages Google Cloud’s Vertex AI with Gemini models to analyze both structured and unstructured data and employs LangChain for its conversational interface along with LangSmith for automated testing and continuous improvement. This implementation transforms claims handling workflows, enabling adjusters to make faster, more accurate settlement decisions.

Connected-Stories built an AI creative assistant leveraging Google Cloud's Gemini to analyze creative briefs and generate sophisticated content strategies. The system integrates Vertex AI for model processing, Imagen and PaLM 2 for generating visuals and text, ensuring multimedia content meets brand guidelines. It streamlines the creative workflow end-to-end by integrating first-party data and real-time performance tracking, driving personalized content at scale.

Lytehouse implemented an AI-based video intelligence system that transforms live CCTV feeds into actionable workplace safety insights by leveraging advanced computer vision, machine learning algorithms, and generative AI agents. They integrated large language models to enable natural language queries and collaborated with Google Cloud via the Vertex AI platform to deploy customized security agents that automate risk detection and alert workflows across existing camera networks.

Priceline integrated advanced AI algorithms with real-time travel data and customer behavior analysis to deliver dynamic pricing and personalized travel recommendations. They implemented these AI-driven techniques across their booking platforms, including web and mobile channels, to optimize pricing strategies and ensure travelers receive competitive deals.

Radisson Hotel Group personalized its advertising at scale in collaboration with Accenture and using Vertex AI and Gemini models, training them on extensive datasets stored in BigQuery.

Addy AI is helping mortgage lenders and banks automate their lending processes with custom AI models trained on Vertex AI.

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.

The U.S. Air Force built a portal for searching and browsing published PDFs.

Fluna, a Pan-African digital services company, has automated the analysis and drafting of legal agreements using Vertex AI, Document AI, and Gemini 1.5 Pro.

Hiscox used BigQuery and Vertex AI to create the first AI-enhanced lead underwriting model for insurers, automating and accelerating the quoting for complex risks.