Platforms for building, training, deploying, and governing machine learning models, including ML orchestration, model serving, and AI development environments.
137
Use Cases
61
Tools
19
Companies
ML Platform Tools
Fully managed service for accessing foundation models from leading AI companies via AWS.
Managed infrastructure for deploying and orchestrating AI agents at enterprise scale
AI coding assistant that accelerates software development through code generation, explanation, and transformation.
Managed machine learning service for building, training, and deploying ML models in the cloud.
Microsoft’s unified studio for building, testing, and deploying enterprise AI applications and agentic workflows.
No-code AI data analysis platform by C3 AI for building ML models without writing code.
Generative AI platform by C3.ai for deploying foundation model-powered applications in the enterprise.
Workbench for data scientists to build and deploy custom ML models on top of process mining data.
No-code ML tool within Celonis for building predictive models on process execution data.
Anthropic API providing programmatic access to Claude models for building AI-powered applications and agents.
AI development and deployment platform by Anthropic for building applications powered by Claude models.
Data orchestration platform for building, testing, and monitoring data pipelines and ML workflows.
Framework for building, evaluating, and deploying domain-specific AI agents on a lakehouse platform.
Managed endpoint service for deploying and serving ML models at scale within the Databricks platform.
Showing 15 of 61 tools
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Use Cases (137)
SSE Airtricity is one of the three largest energy suppliers across the island of Ireland, serving around 750,000 customers with electricity and gas. The company built the ESI Energy Advisor entirely in-house on Databricks, using Claude Sonnet 4.5 to deliver personalized, actionable energy-saving advice to over 65,000 smart meter customers. Within the first month of launch, 90% of logged-in customers engaged with their personalized insights section, and the site saw a 12% jump in unique visitors.
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation, developing autonomous driving software across the full perception, planning, and control stack. To eliminate the manual, frame-by-frame video review that bottlenecked their bug classification workflow, the team built AutoTriage — a video AI agent powered by W&B Weave and Gemini 2.5 Pro that automatically classifies driving system failures. The result was a 10x increase in the speed and scale of triage with the same team and resources.
E.ON is one of Europe’s largest energy companies, with over 70,000 employees focused on energy distribution grids, infrastructure solutions, and sales. By deploying Databricks Apps, E.ON built a GenAI-powered contract analysis tool for its EV charging network and real-time health and safety dashboards—each deployable in one to two minutes. Today 1,500 employees use Databricks for BI dashboards, and 500–600 ChargePoint contracts are analyzed through the GenAI application.
Edmunds, the automotive research platform, built a generative AI moderation system on the Databricks Data Intelligence Platform to automatically parse and approve hundreds of dealer service reviews each day. By routing GPT-4 through Databricks Model Serving with custom prompts, the team cut review turnaround from up to 72 hours to minutes, saving three to five hours of moderator effort each week while operating with just two reviewers.
You.com is an AI-powered productivity platform founded by AI researchers Richard Socher and Bryan McCann, giving knowledge workers access to AI agents for research, problem-solving, and workflow automation. To support its growing enterprise user base, You.com consolidated its ML infrastructure on Databricks, cutting deployment complexity and accelerating the launch of new AI agent capabilities.
MITRE is a nonprofit organization operating six federally funded research centers that bridge government, industry, and academia on national security and public-sector challenges. To consolidate computing resources and accelerate AI experimentation across thousands of researchers, MITRE built the Federal AI Sandbox on an NVIDIA DGX SuperPOD, achieving a 300-fold performance increase over its previous infrastructure. The platform now underpins AI initiatives in weather forecasting, cybersecurity, public benefits administration, and satellite imagery analysis across multiple government agencies.
Kantar Worldpanel is a leading international consumer data and market research company serving FMCG manufacturers and retailers worldwide. The company deployed Databricks’ Data Intelligence Platform to fine-tune large language models for linking paper receipt descriptions to product barcodes, automating a historically manual and resource-intensive task. Using GPT-4 for training data generation and a smaller fine-tuned model for production, Kantar automatically generated 120,000 labeled data pairs at 94% accuracy in a matter of hours.
Scribd, Inc. operates three content brands — Scribd, SlideShare, and Everand — and manages a global library of more than 250 million documents, audiobooks, and eBooks. After fragmenting its AI development across multiple disconnected tools, the company consolidated onto the Databricks Data Intelligence Platform to run the full lifecycle of data and AI in one environment. The result: a 90% reduction in generative AI costs, a 7% lift in new user sign-ups, and the ability to move from prototype to production in weeks rather than months.
Canva, the design platform serving over 150 million monthly active users, built a machine learning team of 100-plus engineers whose deployment workflows were burdened by noisy artifact management and complex tagging logic. The company adopted Weights & Biases Registry as the central hub separating experimental from production-ready models, eliminating deployment friction and giving the entire ML team a single source of truth. The shift created a clean boundary between experimentation and production that the team says fundamentally changed how ML deployment works at Canva.
The Massachusetts Executive Office of Education serves millions of students across the Commonwealth, overseeing a complex data environment spanning hundreds of servers and applications. By migrating its analytics infrastructure to Snowflake’s AI Data Cloud alongside AWS, the agency cut annual technology costs by $1.5 million and accelerated data processing by 30%. Policymakers now receive on-demand insights that drive decisions on scholarships, funding, and student outcomes across the state.
Baseten, the AI inference platform pooling GPUs from 10+ cloud providers for some of the world’s fastest-growing AI companies, adopted NVIDIA Blackwell GPUs on Google Cloud alongside NVIDIA Dynamo and TensorRT-LLM. The result: 5x higher throughput for high-traffic endpoints, up to 225% better price-performance serving DeepSeek-R1 and Llama 4, and 38% lower latency for large language model serving.
Omnicom Group, the global marketing network serving 5,000+ clients across 70+ countries, migrated 75 petabytes of data from 9 data centers to AWS and built an AI-powered marketing platform using Amazon Bedrock, SageMaker, and Bedrock AgentCore. The migration cut compute infrastructure costs by 90% while enabling real-time processing of 400 billion daily events and AI-driven creative content generation.
Amazon Bedrock AgentCoreAmazon SageMakerEnsono, a managed services provider handling over 60 billion retail transactions and government platforms for 24 million constituents, built two AI-powered systems on Snowflake to shift IT operations from reactive to predictive. The Envision Predictive Engine (EPE) and DiagnoseNow application reduced mean time to resolution by 54–70%, cut major incidents by 22%, and improved SLA performance by 38% across its enterprise client base.
FairPrice Group, Singapore's largest grocery and food cooperative serving over 1 million customers daily across 570 touchpoints, deployed a suite of Google Cloud agentic AI systems in Q3 2025 as part of its 'Store of Tomorrow' program. The initiative spans in-cart conversational shopping assistants (18% click rate), Vertex AI-powered inventory search with local cultural context, AI-generated creative advertising at 100x cost reduction, and employee productivity tools—establishing FairPrice as a regional leader in AI-native retail operations.
Luminate, the entertainment data company behind the Billboard music charts, migrated from on-premises infrastructure to Snowflake to unify 3.5TB of daily data across music, film, and television. The move delivered 334% faster daily processing, reduced market report turnaround from a full month to overnight, and enabled cross-industry analytics the company could not previously perform.
Agility Robotics uses NVIDIA Isaac Sim and Isaac Lab to train its Digit humanoid robot through billions of GPU-accelerated simulation steps. This simulation-first approach cut iteration cycles from weeks to days, enabling successful deployment at GXO Logistics and Schaeffler manufacturing facilities.
Grupo Casas Bahia is one of Brazil’s largest omnichannel retailers, serving over 100 million customers through more than 1,000 stores and a national logistics network. The company deployed Databricks Agent Bricks with Meta’s Llama 3.3 70B model to automate the classification of customer reviews from six distinct channels. Monthly review classification jumped from 1,500 to 33,500, model accuracy reached 90%, and the company saves over 4,000 person-hours annually — equivalent to nearly R$480,000.
Cox Automotive deployed 17 production AI agent solutions using Amazon Bedrock AgentCore, reducing estimate completion from 48 hours to 30 minutes, achieving 3x consumer response rates, and projecting 17,000 hours saved.
Amazon Bedrock AgentCoreAmazon BedrockGordon Food Service deployed Gemini Enterprise across 7,000 employees, saving 20,000+ hours monthly through AI-powered digital co-workers with no-code agent creation.
Showing the 19 most recent of 137 use cases