Your AI doesn't know your business.
The context layer fixes that.
Build a shared understanding of your data, your business logic, and your institutional knowledge, and make it available to every AI tool you run.
Agents
Portable
Context
Systems
TRUSTED BY AI-FORWARD ENTERPRISES
In this 45-minute session, watch how Atlan:
Mines knowledge, expertise, and norms from your existing stack, using 100+ connectors across your data platforms, BI tools, and systems of recordBuilds and certifies a context layer through a development lifecycle, running evals against your real query history and tracing gaps to the exact missing definitionDeploys that context layer to any agent platform via MCP, APIs, or native integrationsCompounds autonomy over time: every correction sharpens the shared context, so the tenth agent is smarter than the first
Everything you need in a context platform
Extract context automatically from the systems you already run
Connectors, Context Agents, and lineage tracing pull knowledge, expertise, and provenance out of your existing stack. No manual documentation required.
Build and test a context layer before it reaches your agents
Context repositories, Git-like versioning, auto-generated tests, and production traces: the same engineering discipline you already apply to code, applied to context.
Every interface your agents and your people already use
MCP, knowledge graph traversal, vector search, and open APIs: one context layer, reachable however your stack needs to reach it.
Give your AI what it's been missing
Context layer compresses agent testing from months to days. The first agent is the hardest: every one after gets faster as context compounds.
Context engineering dramatically raises agent accuracy. Simulate against real questions before production: find gaps before your users do.
Without context, agents burn tokens searching everywhere. Context gives them a map: the agent didn't get smarter, it stopped guessing.
Every human override is a signal. Feed corrections back into the context layer: autonomy compounds over time as the system learns.
Version-controlled context repos work across any agentic framework. Think GitHub for business context, not locked to one vendor.
The only proven way to create context
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Learn more about the Context Layer with Atlan.
Context Layer ROI Calculator
Quantify the payoff of building a context layer. Estimate the time, cost, and risk your team recovers when every AI agent works from trusted, governed context.
Context Maturity Assessment
Benchmark how ready your data foundation is for AI. Answer a few questions to see where you sit on the context maturity curve, and what to fix next.
AI Agent Context Readiness
A practical checklist to gauge whether your AI agents have the data, semantics, and governance they need to act on trusted context in production.
Context Layer ROI Calculator
Quantify the payoff of building a context layer. Estimate the time, cost, and risk your team recovers when every AI agent works from trusted, governed context.
Context Maturity Assessment
Benchmark how ready your data foundation is for AI. Answer a few questions to see where you sit on the context maturity curve, and what to fix next.
AI Agent Context Readiness
A practical checklist to gauge whether your AI agents have the data, semantics, and governance they need to act on trusted context in production.