# Agentic AI you can trust Collate is the Agentic Data Platform, built on OpenMetadata. It gives AI the context to get its answers right. [Try Collate](/welcome)[Book a Demo](/contact-sales) 7xFewer Errors Agent Accuracy Opus + Collate 94% Opus alone 59% ## AI can find your data. It doesn't understand it. Agents can't tell what's trusted, what your terms mean, or what your team already knows Metadata ### Which “revenue” table is right? Multiple tables. Some are deprecated. The right one isn’t obvious. Meaning ### What does "active customer" mean? Without a shared ontology and knowledge graph, business terms stay disconnected from data. Memory ### Does AI learn from your team? Turn team knowledge into context every agent can use. ## As AI scales, missing context becomes an enterprise-wide risk. One unclear definition or unreliable dataset can spread errors across every AI workflow before anyone catches them. 320x Growth in enterprise AI reasoning workloads, year over year ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2788%27%20height=%2724%27/%3e)![OpenAI](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![OpenAI](/_next/image?url=%2Fimages%2Fcustomer-gallery%2Fheader%2Fopenai-logo.svg&w=256&q=75) 62% Organizations are scaling or experimenting with AI agents ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27102%27%20height=%2732%27/%3e)![McKinsey & Company](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![McKinsey & Company](/_next/image?url=%2Fimages%2Fcontext-risk%2Fmckinsey.svg&w=256&q=75) ## Build context once. Use it everywhere. Built on OpenMetadata's open context platform, Collate unifies Metadata, Meaning, and Memory for every agent you build or use. ![Collate, the Agentic Data Platform, sits on OpenMetadata, the Open Context Platform. External agents connect through MCP and the AI SDK; data and semantic sources feed Metadata, Meaning, and Memory.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Collate, the Agentic Data Platform, sits on OpenMetadata, the Open Context Platform. External agents connect through MCP and the AI SDK; data and semantic sources feed Metadata, Meaning, and Memory.](/images/context-platform/architecture.svg) An Ontology links business terms to the data assets they describe. [Discover Ontology Explorer →](/blog/ground-your-ai-in-standards-based-knowledge-with-ontology-explorer) Learn more about the [Collate Agentic Data Platform](/product) 7x fewer wrong answers vs. an ungrounded agent 4,000+ enterprise deployments 130+ connectors across every cloud and BI platform ## The most advanced AI teams run their agents on us ![Bonnie Xu](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Bonnie Xu](/images/testimonials/bonnie-xu.webp) “The hard part is getting the right context, knowing what data exists, what it means, and how it relates to the business. This is where OpenMetadata has been so foundational.” ![Bonnie Xu](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Bonnie Xu](/images/testimonials/bonnie-xu.webp) Bonnie Xu Tech Lead, Data Productivity ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27111%27%20height=%2730%27/%3e)![OpenAI](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![OpenAI](/images/customer-gallery/header/openai-logo.svg) [Read the Case Study](https://open-metadata.org/case-study/openai) ![Angelita Frozza Sanches](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Angelita Frozza Sanches](/images/testimonials/angelita-frozza-sanches.webp) “We all talk about AI, but the real product is not AI. Context is the real product. AI just multiplies it.” ![Angelita Frozza Sanches](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Angelita Frozza Sanches](/images/testimonials/angelita-frozza-sanches.webp) Angelita Frozza Sanches Head of Data Platform Engineering ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2798%27%20height=%2730%27/%3e)![Scout24](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Scout24](/images/summit/scout24.svg) [Read the Case Study](/customers/scout24) ![Jeppe Johansen](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Jeppe Johansen](/images/testimonials/jeppe-johansen.webp) “For years our metadata was something people read, not something a system or agent could call. That's the difference between waiting on a review and just shipping.” ![Jeppe Johansen](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Jeppe Johansen](/images/testimonials/jeppe-johansen.webp) Jeppe Johansen Senior Manager, Data Platform ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%2783%27%20height=%2730%27/%3e)![Unity](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Unity](/images/summit-recap/unity-dark.svg) [Read the Case Study](/customers/unity) ## The cost of being wrong changes by industry. So does the context AI needs to get right. Financial servicesHealthcare & life sciencesRetail & commerceManufacturing & mobilityTechnology & AI ![](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![](/images/industries/financial-services.webp) [![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27160%27%20height=%2739%27/%3e)![UnionBank](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![UnionBank](/images/summit-recap/union-bank-dark.svg) ](/customers/unionbank) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27160%27%20height=%2728%27/%3e)![Santander](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Santander](/images/brands/Santander.webp) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27160%27%20height=%2735%27/%3e)![S&P Global](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![S&P Global](/images/industries/logos/sp-global.webp) ![](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27119%27%20height=%2740%27/%3e)![Experian](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Experian](/images/industries/logos/experian.svg) ### When every answer needs an audit trail. AI must show the data, definitions, policies, and decisions behind it. ## Choose the right service for your needs OpenMetadata · Open source and open standards ### Run it yourself The full open context platform, built and supported by a community of 14,000+. * ✓Metadata, meaning and memory primitives * ✓130+ connectors and column-level lineage * ✓Community support and a public roadmap [Deploy the open source](https://open-metadata.org#try-openmetadata) Collate · A fully managed service for OpenMetadata ### Let us run it OpenMetadata, fully managed, with AI agents and enterprise capabilities. * ✓Everything in OpenMetadata, fully managed * ✓AI agents, Conversational AI, AI Studio * ✓SOC 2 Type II, SCIM 2.0 and 99.9% SLA [Start free](/welcome) [ ![Context Layers, From First Principles](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Context Layers, From First Principles](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2F245c6e55-e6e3-4ae3-ab89-f5d42b941157.png&w=3840&q=75) Context Layers, From First Principles Every vendor in this category now calls some part of its product a "context layer" or an "ontology." The word has stopped telling buyers anything, because each vendor defines it, grades itself against ](/blog/context-layers-first-principles-independent-verdict) [ ![Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2Fa6e860d2-9655-4ed2-a461-06cc86f296bd.png&w=3840&q=75) Why We Built a Native Agentic Harness for Data on Top of Collate's Context Platform Claude Code and Codex are usually described as coding agents. That description is accurate, but it leaves out a large part of why they are useful. A strong model is clearly important, but the model is ](/blog/why-we-built-a-native-agentic-harness-for-data) [ ![Forrester Just Defined the Context Layer. Memory Is The Hard Part.](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Forrester Just Defined the Context Layer. Memory Is The Hard Part.](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fuploads%2Fcovers%2F68f7e5e9cd62a42c206feaa6%2Ffb1455d7-8601-40e3-95ad-ef4361cacc14.png&w=3840&q=75) Forrester Just Defined the Context Layer. Memory Is The Hard Part. How OpenAI and Anthropic built context layers for their own data agents In June, Anthropic published a post on how they built self-service analytics on Claude. Without the curated Skills layer they bu ](/blog/forrester-context-layer-definition-memory) [ ![Announcing Collate 2.0: Build Trusted Context, Then Put It to Work](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Announcing Collate 2.0: Build Trusted Context, Then Put It to Work](/_next/image?url=https%3A%2F%2Fcdn.hashnode.com%2Fres%2Fhashnode%2Fimage%2Fupload%2Fv1787503968669%2Fb9269dc5-c527-4103-9159-2c1416e46977.png&w=3840&q=75) Announcing Collate 2.0: Build Trusted Context, Then Put It to Work Ask an AI agent any business question ("which regions missed our quarterly revenue plan?"), and it will find a sales table in your data warehouse, write valid SQL, and hand you a number. However, whet ](/blog/announcing-collate-20) [ ![Introducing AI Governance Studio: Govern the AI Your Enterprise Runs](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7) ![Introducing AI Governance Studio: Govern the AI Your Enterprise Runs](/_next/image?url=https%3A%2F%2Fcloudmate-test.s3.us-east-1.amazonaws.com%2Fres%2Fhashnode%2Fimage%2Fupload%2Fv1785179538662%2Fb8740475-bc0c-4a13-8542-6060e74e440b.png&w=3840&q=75) Introducing AI Governance Studio: Govern the AI Your Enterprise Runs Governing enterprise data has historically meant knowing what data you had, who owned it, and what it was allowed to do. Now, the same challenges apply to the AI reading that data. Every LLM, MCP serv ](/blog/introducing-ai-governance-studio)