Improve agent behavior
with active decision traces and evals.
A context graph records the decisions behind the data: what was resolved, why, and what still applies. Atlan captures agent traces, evals, and human overrides, then promotes the pattern into governed memory every agent inherits.
An agent trace recorded in the context graph: the disputed charge that came in, the tool call that found it refund-eligible, the decision to escalate, the human review that approved it and set a standing rule, and the outcome that was logged.
Trusted by AI-forward enterprises
"Atlan is our context operating system to cover every type of context in every system including our operational systems. For the first time we have a single source of truth for context."
Sridher Arumugham
Chief Data Analytics Officer, DigiKey
"We built a revenue analysis agent and it couldn't answer one question. We started to realize we were missing this translation layer. We had no way to interpret human language against the structure of the data."
Joe DosSantos
VP Enterprise Data & Analytics, Workday
"Atlan has been a really good partner in helping us figure out how to register AI models and applications, and what metadata to put in place to meet the transparency requirements that [AI Governance] legislation asks for."
Sherri Adame
Data Governance Lead, General Motors
"We're focused on how we can scale context development as much as possible, and where can we leverage Atlan AI to build the most robust definitions across our data estate and make sure we're propagating it upstream and downstream."
Takashi Ueki
Head of Enterprise Data & Analytics, Elastic
WTF IS THE CONTEXT LAYER
A bi-weekly live series for AI leaders and builders. One burning question per episode, an open AMA floor, and guests who've actually built context infrastructure.
One question.
Three kinds of context.
Knowledge is what happened before. Expertise is what the team did about it. Norms are who signs off. A context graph keeps the record of all three.
Why is drive-through time up this week?
Question It Raises
Context Type
Answer It Needs
Has this happened before?
Three prior spikes at store 412 — two turned out to be POS clock drift, not a real slowdown
What did we do last time?
Check the POS clock first. That became the standing first move after the second false alarm
Who signs off on the finding?
A clock-drift call ships itself; a real slowdown goes to the regional lead first
No agent runs on
a context graph alone.
It remembers what was decided. What a metric means, which table is certified, and how the business is structured are held elsewhere.
What was decided before, and why?
Working and episodic memory die when the session resets. Decision traces and the lessons behind them belong in durable, governed memory, where the next agent starts from what the last one learned.
Explore Memory & Context GraphEPHEMERAL · DIES WITH THE SESSION
DURABLE · GOVERNED · SHARED
Most systems let agent traces expire as logs.
Atlan promotes them into context every agent inherits.
The evidence already exists. It just usually gets thrown away.
Most systems let traces sit as logs and expire. Atlan treats them as runtime signals and feeds them back into the context layer, where a repeated pattern becomes visible instead of being rediscovered by each new agent.
Precedent becomes policy only when someone owns the call.
A pattern is a candidate, not a fact. Context Engineering Studio runs it through the same lifecycle every other piece of context gets, so what becomes canonical is what a human owner decided should be.
What one agent learned on Tuesday, every agent knows on Wednesday.
A lesson that reaches one agent is a patch. A lesson that reaches every agent is institutional memory. Atlan serves certified decisions through the same interfaces that carry the rest of the context layer.
See the context layer, built live.
Watch Atlan engineers bootstrap, test, and deploy enterprise context on real data — from cold start to production-ready agents.
Where the context graph sits in the wider context layer.
Context graphs: $1T opportunity. Four positions. Zero consensus.
Bob Muglia, Karthik Ravindran, Tony Gentilcore, and Prukalpa Sankar debate who should own the context graph.
Context Engineering Studio
Where a draft definition gets tested against real history, reviewed by its owner, and versioned like production code.
The enterprise context layer, 53+ resources
The full resource hub: what a context layer is, why agents need one, and how teams put one into production.
84% invest in AI. 17% reach production. Here is the gap.
550+ data leaders on what separates the teams that scale from the ones that stall.
Mastercard CDO on context by design
Andrew Reiskind on why AI initiatives require more context than ever, and scaling to hundreds of millions of assets.
Context graphs: $1T opportunity. Four positions. Zero consensus.
Bob Muglia, Karthik Ravindran, Tony Gentilcore, and Prukalpa Sankar debate who should own the context graph.
Context Engineering Studio
Where a draft definition gets tested against real history, reviewed by its owner, and versioned like production code.
The enterprise context layer, 53+ resources
The full resource hub: what a context layer is, why agents need one, and how teams put one into production.
84% invest in AI. 17% reach production. Here is the gap.
550+ data leaders on what separates the teams that scale from the ones that stall.
Mastercard CDO on context by design
Andrew Reiskind on why AI initiatives require more context than ever, and scaling to hundreds of millions of assets.
Stop relearning
what your team already knows.
