Context Agents

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.

Scout
SCOUT
Ranks assets by what your team actually queries.
SUPERPOWERS
🔍Query Analysis
Usage Signals
🛡️Asset Ranking
Scribe
WORKS BEST WITH
Scribe to prioritize what gets described first
Meet your team
THE JOURNEY

Data catalogs were built for humans... who never documented them.

We launched first

In 2023, Atlan launched the first AI documentation agent in the industry.

We called it Atlan AI. It could write descriptions automatically, and we shipped it. But accuracy was in the 70s. Good enough to show the vision, but not good enough to replace human work.

We hit the wall

We quickly realized accuracy at scale required a foundational rebuild.

AI needed to access rich signals — 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. Every agent now has full access to every signal.

Agents outperform humans

Today, context agents are outperforming humans on documentation quality.

Not just faster. Better. Customers are telling us the agent-written descriptions are more accurate and more complete than what their teams were producing manually. The bar has moved.

Acceptance Rate Today90%+
AI Descriptions Applied200K+

Start your AI-readiness sprint.

Learn how Context Agents can get you to AI readiness in 30 days.

Book a Strategy Session
HOW IT WORKS

The teammates that solve the biggest blocker to context: documentation.

Agents that read raw metadata to build foundational context.

Scout
Ranks assets by usage intelligence — surfaces what your team queries most.
Stage 1 · Foundational
⚡ Purpose
Ranks assets by usage intelligence — surfaces what your team queries most.
Task Plan
Scan SQL query historyacross all teams and use cases
Identify top-queried assetsby team, frequency, and function
Rank by usage scoreand assign enrichment priority
Revenue Assets
Product Analytics
Customer Data
Revenue assets · ranked by usage
5 assets
finance.revenue_table
847 queriesGold Layer ↑
finance.arr_cohort
693 queries
billing.invoices
541 queries
finance.mrr_breakdown
418 queries
finance.ltv_by_segment
263 queries

Agents that synthesize foundational context into structured business knowledge.

Doc
Turns scattered signals into the README dataset your team never wrote.
Stage 2 · Derived
README generated
finance.arr_cohort · README.md
auto-generated
ARR Cohort
Overview
Tracks annual recurring revenue cohorts by customer segment and contract start date. Lineage confirmed: upstream from billing.subscriptions, downstream to exec.revenue_dashboard.
Source Tables
  • billing.subscriptions
  • crm.accounts
Key Columns
  • cohort_month
  • arr_usd
  • segment_tier
Usage
Primary consumer: Revenue Analytics team. Queried 284 times in the last 30 days.

Agents that build advanced, enterprise-grade intelligence.

Atlas
Atlas
Tags every asset with its business domain — automatically, at scale.
Stage 3 · Compounded
Purpose
Tags every asset with its business domain — automatically, at scale.
Task Plan
1
Read Scribe descriptions and usage signals
2
Match asset metadata against domain patterns
3
Score domain fit for each asset
4
Apply domain tag or route to steward
Tagging assets
orders.revenue_table
Finance
revenue_usdorder_idbillingarr_q4
product_events.sessions
Product
session_idfeature_useduser_idengagement
marketing.campaigns
Marketing
campaign_idspend_usdimpressionschannel
finance.arr_cohort
Finance
arr_usdcohort_monthcustomer_tierchurn
eng.deploy_logs
Engineering
deploy_idenvpipelineshastatus
ROLLOUT

Rollout in 30 days, not 12 months.

Start With What Matters

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

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.

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.

INDUSTRY RECOGNITION

The future of context, validated by Forrester and Gartner

Slide 1 of 3

Leave metadata management behind.
Compound context with agents.

 

Everyone's talking about the context layer. We're the first to build one, live. April 29, 11 AM ET · Save Your Spot →

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