Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.

Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.

Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Thomson Reuters uses Claude in Amazon Bedrock as part of its AI platform CoCounsel, helping legal and tax professionals synthesize expert knowledge and deliver comprehensive advice to clients.

Developed a GenAI solution leveraging Azure OpenAI Service to analyze, classify and structure unstructured medical records into interactive patient histories and a case DNA for improved decision support.

Fairtility developed its AI-powered IVF solution, CHLOE, leveraging Google Cloud’s robust infrastructure to analyze thousands of data points daily for insights on embryo and egg viability. The system is implemented across 100 global clinics with remote deployment and near real-time updates, streamlining operational workflows and aiding embryologists with faster, data-informed treatment decisions.

Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.

The University of Sydney uses Claude Opus from Anthropic to analyze vast amounts of acoustic data in real time for whale conservation. By transforming underwater sound recordings into spectrograms and using Claude's advanced visual recognition capabilities, they achieved 89.4% accuracy in detecting minke whales, compared to 76.5% with traditional methods. This real-time analysis replaces manual processes that took weeks, allowing conservation teams to act when and where it matters most.

The project integrated on-farm sensors, satellite imagery, and historical crop data using Microsoft’s Azure Data Manager for Agriculture platform to monitor weather, soil, and nutrient conditions. FarmVibes.ai processed these data inputs and Microsoft Azure OpenAI Service translated technical details into simple, daily actionable alerts delivered via the Agripilot.ai mobile app in local languages. This solution improved decision-making in irrigation, fertilization, and pesticide application to optimize harvest timing for peak sucrose levels.

Skillfully, a public benefit corporation dedicated to creating a more meritocratic job market, uses Anthropic's Claude to power AI-driven job simulations that let candidates demonstrate their actual skills in realistic workplace scenarios. By leveraging Claude without complex fine-tuning, Skillfully generates a large volume of AI-powered job simulations weekly, transforming traditional hiring practices.

Built an AI-powered system using Azure OpenAI Service to automatically read and categorize property contracts, apply legal rules, and generate automated assessments; integrated a digital assistant to answer citizen inquiries and support staff upskilling.

Otter, an AI Meeting Assistant, uses Claude from Anthropic to enhance its ability to summarize meetings, identify action items, and extract meaningful insights automatically. By leveraging Claude's 200k context window, Otter can process long meeting transcripts without constraints, transforming conversations into lasting organizational knowledge.

Implemented a hybrid cloud architecture by moving one-third of its servers to Azure public cloud and another third to Azure Local for edge capabilities, managed via Azure Arc to seamlessly integrate on-premises and cloud environments for advanced industrial AI use cases.

LALIGA, one of the largest football leagues in the world, deployed Microsoft Azure Arc to manage its hybrid infrastructure and ensure low latency at its 42 stadiums. It uses AI in Azure to optimize match scheduling and other key operations, providing an engaging fan experience.

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.

Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.

Local Falcon, a platform that helps businesses improve their Google search rankings, utilizes Anthropic's Claude to analyze millions of customer reviews. This enables them to deliver clear, actionable recommendations, enhancing their clients' local search visibility.

Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.

Integrated generative AI into ABB Ability Genix to power Genix Copilot, enabling natural language queries for real‑time industrial data insights.

NASA collaborated with Microsoft to develop Earth Copilot by integrating Azure OpenAI Service into its existing EARTHDATA VEDA platform. This AI-powered solution allows users to query complex geospatial datasets using plain language, simplifying data search and analysis for scientists and policymakers. The implementation leverages robust cloud infrastructure, machine learning, and natural language processing to transform traditionally complex data retrieval processes.

Operation Smile implemented Azure OpenAI Service to digitize patient registration with multi-language support and automate spreadsheet data analysis. They integrated this AI solution with Microsoft Fabric, OneLake, and Power Apps in collaboration with partner Squadra to enable real-time analysis for patient triage and report generation, streamlining operational workflows.

Legrand, a global leader in electrical and digital building infrastructures, co-developed AI-powered tools Gaia and Elia using Azure OpenAI Service to streamline product data management and improve customer support. Gaia helps generate accurate, localized product descriptions, while Elia is an AI-powered chatbot that provides quick, accurate access to product information.

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.

Hebbia, an AI platform for knowledge work serving asset managers, investment banks, and law firms, leverages Claude's capabilities to analyze vast amounts of complex documents efficiently, generating actionable insights through features like meta-prompting and natural language interactions without requiring users to master prompt engineering.

Promega uses ChatGPT extensively across departments to streamline processes in manufacturing, sales, and marketing. ChatGPT assists in forecasting equipment replacement timelines, gathering protein specifications for custom assays, and automating customer requests in quality assurance workflows. Custom GPTs in sales and marketing also enhance prospecting and email campaign efficiency.

You.com uses Claude to provide comprehensive answers and automate complex tasks. They leverage Claude's advanced reasoning for features like the Research Agent for in-depth analysis, coding assistance for developers, and customizable AI agents for specific workflows.

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.

BlueFlame uses Claude to give small investment teams enterprise-grade analytical capabilities, enabling them to analyze vast document sets and uncover insights at institutional scale without needing in-house technical expertise.