The team that makes your data AI-ready.
Documentation has been an unsolved problem for years, and AI needs more documentation than humans can write. Context Agents are the AI teammates that write, maintain, and continuously evolve the documentation your team never did.
Data catalogs were built for humans... who never documented them.
In 2023, we launched the first AI documentation agent.
We called it Atlan AI. It could write descriptions automatically, but accuracy was at 75%. Good enough to show the vision, but not good enough to replace human work.
We realized AI accuracy at scale needed a rebuild.
To be accurate, AI needed to access rich signals like lineage, query history, usage patterns, relationships between assets. Atlan stored all of that, but AI couldn't use it. So we rebuilt the foundation: the Context Lakehouse.
Today, context agents outperform humans on quality.
Customers are telling us the agent-written descriptions are more accurate and more complete than what their teams were producing manually.
Start your AI-readiness sprint.
Learn how Context Agents can get you to AI readiness in 30 days.
Book a Strategy SessionThe teammates that solve the biggest blocker to context: documentation.
Agents that read raw metadata to build foundational context.
Agents that synthesize foundational context into structured business knowledge.
- billing.subscriptions
- crm.accounts
- cohort_month
- arr_usd
- segment_tier
Agents that build advanced, enterprise-grade intelligence.
Rollout in 30 days, not 12 months.
Start With What Matters
Most of your catalog nobody touches. Context Agents identify your Gold Layer, Popular BI, Popular SQL, and upstream dependencies first — enriching the assets people actually use before spending cycles on the long tail. Value shows up in days, not months.
AI Scores Every Output
Each agent output carries a composite confidence score across accuracy, clarity, style, and completeness. High-confidence outputs auto-apply. Lower-confidence outputs route to humans.
Humans Decide & Govern.
AI generates descriptions, classifies assets, builds metrics, and scores quality at scale. Stewards shift from documentation to certification — sampling, validating, and resolving the cases that require judgment. One click. Not 847 manual reviews.
The future of context, validated by Forrester and Gartner
Learn more about context agents and the context layer.
Why your AI agents hallucinate on real data
53+ resources on the enterprise context layer — the missing infrastructure between your data platform and your AI agents. What it is, how to implement it, and why teams that have it are 5x more likely to reach production.
84% invest in AI. 17% reach production. Here's the gap.
550+ data leaders told us what's changing — and what separates the teams that scale from the ones that stall. The 7 structural shifts forcing data teams to rebuild for an AI-first world.
Why your AI agents hallucinate on real data
53+ resources on the enterprise context layer — the missing infrastructure between your data platform and your AI agents. What it is, how to implement it, and why teams that have it are 5x more likely to reach production.
84% invest in AI. 17% reach production. Here's the gap.
550+ data leaders told us what's changing — and what separates the teams that scale from the ones that stall. The 7 structural shifts forcing data teams to rebuild for an AI-first world.
Leave metadata management behind.
Compound context with agents.
