The AI for Data Platform

Agents and conversational AI that run on your context and semantics

Collate AI is the layer of agents, automations, and conversational tools that turn your context graph into work that gets done. AskCollate answers questions instantly using your governed context. Purpose-built agents document, classify, and quality-check your data automatically. AI Studio lets your team build custom agents without writing code. MCP and the AI SDK extend the same governed context to Claude, Gemini, and your own applications.

One open metadata graph for your entire data estate

Collate connects to every source you have — databases, warehouses, lakehouses, BI tools, pipelines, and ML platforms — and unifies them into a single, queryable graph. Every asset, relationship, lineage edge, all in one place. The graph is built on OpenMetadata, under Apache 2.0. Your metadata model stays open, portable, and standards-based.

Shared meaning your business, and your AI, can reason on

Connections aren't enough. Without shared definitions, every team builds its own version of every metric, and AI returns answers grounded in pattern-matching instead of business meaning. Collate's semantic layer encodes your ontology, glossary, and governed terms directly into a knowledge graph. Every question, from a human or an AI agent, resolves against your business understanding.

Every change captured, attributable, reversible — across humans and AI

As people and agents act on your data, the platform should remember what was decided, who decided it, and why. Collate captures every approval, classification, and annotation as a permanent, auditable record. Stewards review what agents proposed. Compliance teams see who touched what. The longer you use Collate, the smarter and more accountable your data estate becomes.