Your company's knowledge isn't missing. It's unusable. Cognatum fixes that.
Cognatum is a governed knowledge base for regulated enterprises.
| Select | Title | Type | Taxonomy | Status | Expires | Reach |
|---|---|---|---|---|---|---|
| Which retention period applies to client trade communications? | Q&A | Records | Approved | in 214 days | 38 | |
| Standardize retention schedules on the records policy | Decision | Compliance | Approved | in 149 days | 31 |
Information sprawl is real. We solved it.
Who we work with.
- Salesforce
- Snowflake
- Confluence Cloud
- Notion
- GitHub
- Box
- GitLab
- Coda
- Quip
- Zendesk Guide
- ServiceNow Knowledge
- Dropbox
- Jira
- HubSpot
- Airtable
- Smartsheet
- Workday
- Databricks
Without Cognatum
Nobody owns the answer. People guess.
With AI today, guessing runs at machine speed.
Your company already has the answers in documents, shared drives, chat threads and business systems. Which is right? What is it approved for? When people don't know, they guess. So does AI.
Knowledge
Time
What your company knows
Where Cognatum works
What is verified and current
With Cognatum
Source right answers all the time, every time.
Cognatum is a governed knowledge management system for regulated enterprises. It gives an organization a single approved home for what it knows, and serves that knowledge to people, applications, workflows, and AI systems, with a named approver, a timestamp, and a source on every entry. With Cognatum's 50+ connectors, get a single pane of glass access to all your company knowledge.
- Cited to an approved source. The citation links to the exact record and version the answer came from.
- Approved by a named person. A real person signs off on it, and the record keeps who approved and when.
- Sealed so it cannot be edited quietly. The link from source to answer is logged, and any change is visible.
- Honest when nothing is a confident match. The answer says so and points at the sources, instead of sounding sure.
Based on similarity of matched sources, not a correctness guarantee
Mean of 10 retrieved source scores
- 75%
- 60%
- 61%
- 56%
- 52%
- 35%
- 32%
- 41%
- 35%
- 24%
No migration
You work the way that you already work.
Cognatum does not ask you to move anything or tidy anything up first. You tell it where to look: SharePoint, a shared drive, a business system, a folder of files, RocketDocs. It reads what is there, and it keeps reading.
What it stores is the answer, not a second copy of your files. Each approved answer is one record with a type, an owner, a state and a version. That is what separates this from search. Search can find the file. Search cannot tell you which answer inside it was approved, by whom, or whether it's still valid.
Where the work already happens
- Documents
- Business systems
- Collaboration tools
- Storage
Knowledge base
Governed, for people and AI
Holds the approved answer itself, not a second copy of your files. Each one is a record with a type, an owner, a state and a version.
Every entry is
source · version · approver · permissions
Who asks
- Employees
- Business applications
- Workflows
- AI assistants and agents
- Customer portals
- Compliance and audit
Governance
Answers you can defend, answers you can trust.
The difference is structural. Traditional search and AI cannot version, approve, or attest to content. Cognatum stores the approved entry, which is what makes the rest of this possible.
A source on every answer
Each answer names the record it came from, so a reader can open it and check.
A named approver
A person approves the entry, and the record keeps their name and the date.
Nothing goes stale in silence
Change a source and every answer built on it is flagged and routed for re-check.
One version, not many copies
The approved entry is stored and versioned, so there is one thing to correct.
Wording matters
When what you say is regulated, wording matters. Answers are never reworded.
Conflicting information is surfaced
When multiple approved sources conflict, they are routed to a person, not combined into one "Confident" AI answer.
Reviewer checklist
What a reviewer asks to see.
Governance review is where an AI initiative stalls: someone asks how you would prove an answer was right, and there is no answer. Every entry carries the evidence a reviewer asks for: a named approver, date, source, version, and who is allowed to view it.
Show me how →Use disclosure D-214 rev 6. It supersedes rev 5 for all retail communications and carries the current market-risk language. SOP-4471 v3
Source A · Retention policy v7
Supervisory records are kept for six years.
Source B · Supervisory procedures v3
Supervisory records are kept for five years.
Neither is served as approved
The record settles it
Resolution queued for approval
Entry B supersedes A · Effective 2026-05-01 · queued
A real disagreement
Flag open
Routed to a named person · Records management
Who it is for
Made for industries that have to be right.
Supervision, records, examination
Financial services
A named approver and a version on every answer, the wording of a regulated policy returned exactly as written, and a record of who approved what and when.
Quality, validation, inspection
Life sciences
Controlled documents kept current, superseded procedures withdrawn from every channel at once, and an audit record an inspector can follow entry by entry.
Suitability, market conduct, records
Insurance
A named approver and a version on every answer, filed wording returned exactly as written, and a record of what was recommended and on what basis.
Export control, contract flowdown, assessment
Aerospace and defense
Technical data served only to people cleared to receive it, export wording returned exactly as written, and a refusal recorded every time an answer is withheld.
Reliability standards, audit, restricted data
Energy and utilities
The revision in force on every answer, information about your systems served only to people cleared for it, and audit evidence written as the work happens.
Traceability, supplier controls, recall
Regulated manufacturing
The controlled instruction in force on every answer, hazard wording returned exactly as written, and a traceability record built as the work happens.
Privacy, coverage policy, device quality
Healthcare
Answers that stop at the boundary of who asked, approved notice wording returned exactly as written, and a record of who approved what and when.
Common questions
Questions teams ask first.
Do we have to clean up our content before we start?
No. Cognatum is designed to be organized as it is used. You keep working, and it drafts entries from the systems where work happens. The manual steps run in the background under human supervision, and your team curates a little each day.
Is Cognatum an AI knowledge base?
It is a knowledge base that AI maintains and a person approves. AI drafts and organizes entries from the systems where work happens, and a named person approves each one before it is served, with the date and the source kept on the record.
Can it work as an enterprise knowledge base across the systems we already use?
Yes. You tell it where to look, SharePoint, a shared drive, a business system, a folder of files, and it reads what is there and keeps reading. What it stores is the approved answer rather than a second copy of your files, so enterprise knowledge management does not start with a migration project.
Can it serve as an LLM knowledge base for our assistants and agents?
Yes. The same approved entry answers for your people, your applications and your assistants, so an assistant replies with what a named person approved rather than with whatever it can reach. Knowledge is governed centrally and used everywhere.
How is this different from other knowledge management software?
The difference is structural rather than a longer feature list. Knowledge management software that indexes your documents can find the file; it cannot tell you which answer inside it was approved, by whom, or whether it is still valid. Cognatum stores the approved entry itself, with its source, its approver and its version.
Book a 25-minute session.
We look at where your answers live now, which tools your team already pays for, and what your AI reads when someone asks it a question.
Someone who can answer the technical and the compliance questions runs the session. No obligation.
Now pick a time
Your request is in. Choose a slot below and we will send the invite.