Most tools just record what you have. OntaVera controls it.
Most governance tools are filing cabinets: they record what you tell them, charge by the seat, and let anyone with the right role mark a dataset ‘certified.’ What's been missing is the control layer, where trust is computed, decisions are sealed, and the proof stands on its own.
Everything in one platform
Catalog, lineage, quality, evidence, privacy, data products, and AI governance live in one platform: one contract and one security review instead of four or five point tools.
Deep where it counts
Column-level lineage is read from real code, anomalies are caught upstream, and evidence is generated rather than assembled. That is depth exactly where the examiner looks.
Built for financial services
The foundation carries a financial vocabulary: Basel, IFRS, SOX, BCBS 239, CCAR. Workflows are shaped by decision rights, separation of duties, and the exam calendar.
Seven outcomes your institution can measure.
Not aspirations. Each of these shows up as a number in the product, tracked against your own baseline.
Decisions you can stand behind
The numbers behind a decision carry their evidence with them.
Risk you can see coming
Problems surface with an owner and a clock, before an examiner finds them.
Change that doesn't break things
Impact is known before a release ships, not after a report is wrong.
Hours back every week
Evidence assembles itself, so your people stop rebuilding proof by hand.
Data used the right way
Sensitive data carries its purpose, and access follows policy.
Evidence in minutes
The exam file is standing, current, and ready to hand over.
AI you can defend
Models and agents run on governed data, with a human behind every decision.
One trust posture you can take to the board.
Obligations mapped to controls, with the test results attached.
Clear accountability, and tools that respect your time.
Lineage read from real code, and blast radius before you ship.
Find data you can trust, and see why you can trust it.
Know where sensitive data lives and how it is actually used.
Trace anything, replay any date, keep the whole history.
Governed context it can rely on, and a human it must answer to.
Seven laws the product can't break.
Every vendor publishes principles. Ours are wired into the product and wired into the product as invariants; ask in a working session and we will show you each one holding, live. Here they are, in full.
Derived, never set
Trust states such as certification, readiness, and regulatory posture are recomputed from live evidence at read time. There is no API, no admin screen, and no migration that can hand-set one. A badge you can set is an opinion; a state you can only derive is a fact.
One decision door
Every governed change passes one decision point that seals its inputs, its actor, and its rationale. Separation of duties is enforced at the door itself, not in a policy document.
Seal, fail closed
Decisions land on a hash-chained, append-only evidence ledger inside the same transaction. If the chain cannot be sealed, the write is refused rather than silently accepted.
Absence is failure
A missing run, a stale check, an unmapped control reads as failing, never as green. Uncovered obligations are shown as uncovered. An empty board means unknown, not clean.
Claims are never truth
Anything imported from your existing tools lands as a claim, and gets checked against what the evidence supports. The gap register shows you exactly what you can prove today and what you can’t prove yet.
Federate, never copy
Governed data stays in its source. Rules execute where the data lives; metadata and masked evidence move, rows do not. Your rows never leaving your systems is an architecture, not a contract clause.
Agents propose, humans decide
The AI layer drafts, ranks, and explains, with confidence scores and evidence shown before acceptance. It cannot approve anything: the approve action simply does not exist for it.
Change the evidence, and watch trust recompute.
Turn any piece of evidence off and watch the badge react. And when you're wondering whether someone could just set it back by hand, ask it.
Fix the evidence and the badge comes back on its own. That's the whole point: in OntaVera this runs on your live systems, and nobody, including us, can hand it a different answer.
What your records claim, versus what the evidence can prove.
You already have years of inventories, attestations, and certified badges. We don’t throw them away. We import them as claims and check them against what the evidence can actually back up. The difference between those two numbers is the most honest metric in your program.
Imported records land as claims. The gap register shows what your records say that your evidence cannot yet back up. An imported badge expires on its own unless the evidence holds it up.
The moat is at the bottom.
Every system connected makes the graph richer; every decision sealed makes the record deeper; each turn of the loop makes the next one cheaper. Copying a screen is easy. Copying a governed graph with years of sealed history is not.
That is also why adoption is priced on the assets governed rather than seats. The value compounds with the graph, not with the number of people allowed to look at it.
Promises you can verify.
- Your rows never leave
- only metadata crosses the boundary; rules run inside your systems and return pass/fail counts, not rows
- Your keys
- bring your own keys, with a kill switch that you hold
- Your perimeter
- SaaS, your VPC, or on-premises; air-gapped supported
- Your exit
- graph, rules, policies and evidence exportable on exit, as contractual terms
- Our own AI, governed
- customer metadata never trains our models; assistance can be disabled per domain
- Every action attributed
- full audit trail, exportable; AI actions logged, attributed, and reversible
Start with proof, not a promise.
There are three ways in, and each one earns the next. You approve the exit criteria before we spend any more of your time or budget.
A 60-minute working session
Bring one report that is expensive to prove. We walk the mechanism against it. Nothing is required from your side.
A two-week guided sandbox
Your team works hands-on against a synthetic sample bank. It requires zero access to your systems and zero procurement.
A six-week proof on your systems
We use read-only metadata across five systems and one priority report, scored against criteria both sides sign first. The decision it produces is yours.