The company brain for AI.
Your AI agents are only as good as what they know. Ontonym builds a live object graph over the systems you already run — email, docs, calendar, scheduling, reminders — surfaces where they disagree, and gives every agent one source of truth.
Across your systems
“…email thread from three weeks ago…”
“…call notes in a shared doc + a calendar hold…”
scattered · no single answer
Ontonym
3 commitments, resolved
owners, dates, status + sources
one answer every agent can trust
company brain
A company brain is one graph over every system you run. Entities, relationships, commitments — and the source behind each.
Ontonym reads the systems you already run — email, docs, calendar, scheduling, reminders — resolves them into one object graph, and hands your agents a single, sourced view. Explore the public startup universe to see the same graph in action.
The whole set, not a sample.
Ask your company brain for a segment — customers up for renewal, open commitments, who owns which system — and get the full set it knows about: counted, filtered, and ready to inspect. Your agents answer from the set, not a lucky guess.
One entity, one resolved profile.
Names, owners, facts, relationships, and status drift across email, docs, and tickets. Ontonym resolves repeated mentions into one object with current fields, history, relationships, and the trail behind them — so every agent reads the same record.
Every signal carries its receipt.
A profile, owner, relationship, commitment, or claim should never float without evidence. Ontonym stores the structured fact and the link back to the system it came from — never a copy of the content itself.
It shows what is missing.
The brain is useful because it is explicit about coverage. Ask about a segment or a system and see which records are complete, which are thin, and where your brain still needs a source — so agents flag the gap instead of hallucinating over it.
Start with a sample, build your own world.
Your company brain is a private universe — a self-contained graph of records, sources, and relationships over the systems you run. Browse the public startup sample to see how it behaves, then create a private universe your team and your agents work from.
Read every system you already run.
Ontonym connects to the systems your company lives in — email, docs, calendar, scheduling, reminders — and turns each into structured, sourced records. It keeps the link back to the source, never a copy of the content, and flags when a record needs another look.
Data changes. The graph shows what changed.
A brain goes stale fast: owners change, commitments shift, systems disagree. Ontonym keeps sources attached, surfaces the conflicts across your systems, and makes weak or outdated records visible. You keep the brain honest; Ontonym shows you where it is wrong.
Keep private research in your own universe.
Use public universes as a starting point, then add private notes, shortlists, sources, and analysis in an isolated workspace. Larger teams can run private-cloud or on-premise deployments.
Questions your agents should never get wrong. Counted, cited, current.
Ask across every connected system — email, docs, calendar, scheduling, reminders. Get the answer, the set behind it, and the records that still need work.
Give your agents a brain. Keep the sources.
Explore the public startup universe, then build a private company brain over the systems, sources, and questions that matter to you.