Your AI has your data.
It still doesn't understand your business.
You've poured everything into a knowledge graph, a warehouse, a wiki. Your AI can look things up — but it weighs a fact from two years ago the same as one from this morning, and has no idea how the pieces connect today.
It can retrieve everything.
It understands nothing.
They store your data.
We keep the relationships alive.
A knowledge graph records that A relates to B. It can't tell you that this link is what matters right now, or that it changed last week. Distilligent keeps the living context underneath every AI tool you already use.
THAL · Context-as-a-Service
They map your business. We keep the map changing with you.
What mattered, when
A six-month-old decision you revisited yesterday outranks last week's noise. Relevance is dynamic, not chronological.
Connections across silos
It links the thread in Slack to the ticket in Jira to the doc in Drive — the relationships your tools keep apart.
Sharper every day
Every correction and decision improves the model of your business. It learns your org, not just stores it.
Code Engine · For Dev & DevOps
Your AI sees the file. Not the consequences.
Repo memory
Why the code is shaped this way: the history, the decisions, the dead ends — not just the current file.
Incident history
What broke last time someone touched this, and how it got fixed.
Tribal knowledge
The warnings that never made the docs — "JWT refresh is fragile here."
Blast radius
What else a change touches — before the agent ships it, not after the pager goes off.
Everyone else stores more of your data.
Distilligent understands how it connects.
That's the difference between an AI that can look things up and one that actually knows your business.