The Self Governed Vault
for AI-ready data.
AI agents are only as good as the data they can trust. Mantler connects to the systems you already run and makes every record verifiable and safe to use. Numbers, contracts, policies, people. Nothing migrates.
AI projects don't fail
on the tools & agents.
They fail because
they use false data.
AI agents are confident.
That is the problem.
Point an agent at your raw databases and documents and it will answer. It cannot tell whether a figure is current, superseded, or simply the wrong number for the question. It answers anyway.
This is why pilots stall. Not because the model is weak, but because nobody in the room can sign off on what it says.
What was gross margin?
What is our refund window?
How many units in stock?
What will this deal close at?
Which contract terms are in force?
DRAG TO DISMISS · 1 / 5
What if your data
could prove itself?
Mantler connects to the systems you already run and translates every record into a form agents can reason about, inside the Self Governed Vault. Your databases and documents stay where they are; nothing migrates, nothing is rebuilt. The Vault holds the meaning: where each record comes from, whether it can be trusted right now, and how it may be used. It governs itself, so your team doesn't have to.
- PostgresSYNCED · 2 MIN AGO
- SAP ERPSYNCED · 2 MIN AGO
- SharePointRE-SYNCING
- Shared folderSYNCED · 14 MIN AGO
- EmailSYNCED · 3 MIN AGO
- NotionSYNCED · 9 MIN AGO
- Finance DBSYNCED · 4 MIN AGO
- WorkdaySYNCED · 26 MIN AGO
- DMS legalSYNCED · 11 MIN AGO
- PIMSYNCED · 14 MIN AGO
- Brand bookSYNCED · 1 HR AGO
- WikiSYNCED · 38 MIN AGO
- SalesforceSYNCED · 21 MIN AGO
- Google DriveSYNCED · 5 MIN AGO
-
CONTRACT · SUPPLIER_TERMS.PDF · CLAUSE 14
“Payment within 45 days of invoice.”
-
FINANCE · GROSS_MARGIN_PCT
40.9
-
BRAND · TONE_OF_VOICE
superlatives = never
SHOWING 3 OF 247,318 RECORDS
- Re-validate finance recordsEVERY 15 MIN
- Source prioritySIGNED COPY OVER DRAFT, ALWAYS
- Anomaly policyHOLD FIRST · EDITED 2 DAYS AGO
- While heldSERVE THE LAST VERIFIED VALUE
- Contract cadenceRE-PARSE DAILY AT 03:00
SHOWING 5 OF 312 RULES
Every record
carries its proof.
Three layers of context, attached to every record in the Vault and kept current automatically. This is what an agent reads before it answers.
Metadata
Where it lives, where it came from, who owns it.
Validation
Whether to trust it, right now.
Instructions
How it may be used, and how it must not be.
ONE RECORD · THREE LAYERS · READY FOR AGENTS
From raw systems
to governed answers.
- 01ConnectA secure line into each system you already run. Nothing gets moved.
- 02TranslateRecords become AI-native entries with their meaning written in.
- 03GovernSources are watched and every change is re-validated, spreadsheets and contracts alike.
- 04FlagA value that breaks its own history is held at the door.
- 05ServeAgents read the current, verified answer, rules of use included.
- 06ControlRules, cadence and source priority live in one dashboard.
THE STATE OF THE ART, AUDITED
Migrate your entire data.
Point dozens of chatbots to dozens of databases.
Govern the data where it lives.
MANTLER · THE LIVING LAYER IN BETWEENKeep your systems.
Sign off on the answers.
Nothing about your stack changes. Postgres stays Postgres, the contract archive stays where it is. The difference is what agents do with it: the right number used, the wrong one held, answers you can put your name under.
- Connect once, no rip-and-replace risk
- Every answer traceable to a verified source
- Governed from one dashboard, not a dozen scripts
THE WALL EVERYONE HITS
Every enterprise heading into agentic AI runs into the same wall: the agents are ready, the data can't be trusted. That trust layer is the bottleneck, and nobody owns it yet. Mantler connects once, then grows across sources and use cases. There is no migration, so there is nothing to rip out later.
The data you have.
The trust you need
to let agents run with it.
The Self Governed Vault is being built with a small group of early partners. Add your name to the ledger and you'll hear from us first.