The numbers you run on,ready to prove themselvesto anyone who asks.
We give financial institutions standing proof of their data: for their regulators, their executives, and their AI. OntaVera derives trust from live evidence, seals every decision, and turns weeks of manual proof into minutes.
*Ninety days covers one named report slice, and the clock starts when access is signed off, not when the contract is.
Meet the platform. Meet Vera.
One governed record, ten products, and a number that can show where it came from. Vera, our guide, walks it in half a minute.
Thirty seconds, with sound. Vera walks you from one governed record to provable answers, the way the rest of this page does in depth.
Read the transcript
I'm Vera. OntaVera is the evidence-grade Data Governance Platform for financial institutions. It connects business meaning, critical data, lineage, quality, ownership, privacy, controls, products, models and agents, on one shared foundation. Discover and define what matters. Trace and assure it. Govern and protect it. Productize data. Govern AI. Prove compliance and support trusted decisions. From source systems to executive decisions, OntaVera makes trusted data visible, actionable and ready for what's next.
Built around the frameworks your examiners bring
Pull one thread and watch the proof respond.
This is the chain your examiner walks, from regulation to sealed evidence. Take one piece of evidence away and every dependent state falls on its own. Put it back and trust recomputes. The data is illustrative, from ABC Bank; the mechanism is the real one.
First you know your data. Then you control it. Then you can prove it.
Ten products, one shared record, three promises. Start with the one your institution needs most, and everything you add makes the rest smarter.
See everything you have, what it means, and who owns it.
Set the rules once, and let every change face them.
One governed stack. From enterprise evidence to trusted decisions.
Seven layers, one governed platform. Turn it, open a layer to see what lives inside, click any capability or any stage of the mechanism, and then trace one critical number all the way from a report to its sealed proof. Break the evidence, and watch every state above it derive again.
Proving the numbers is among the costliest work a bank does.
Every audit, every exam, every attestation: someone rebuilds the same proof by hand, in spreadsheets, and you pay for that work four times over. Now GenAI reads your data at machine scale, and one bad number can land in every model answer. That's why provenance is a board conversation now, not a checklist item.
Today that work is fragmented, manual, reactive, and risky. See it, then see the fix:
patterns seen across large institutions · not a benchmark of your environment
Proof is built by hand for each audit, exam, and regulatory request.
Evidence packs are generated from live lineage and the sealed record.
BCBS 239 didn't change. How much of the bank it touches did.
New to data governance? Start here.
Here are five quick answers before you scroll on: what this is, what it does, and why banks care right now.
Data governance means knowing your data: what it means, where it came from, who owns it, and whether you can trust it. It also means being able to prove it when someone asks. In a bank, someone is always asking: regulators, auditors, the board, and now your own AI.
All ten products run on one knowledge graph.
All ten work off the same record. That’s the point: every number traces to its source, and every control runs on the same evidence. Start with what you need first, and everything you add makes the rest smarter.
Trust here is derived from evidence, never declared.
Most platforms let someone set a badge that says “certified.” This one can’t. Here’s how a change becomes proof you can hand an examiner.
AI does the work. It can't approve the work.
Agentic AI runs all through this platform: it drafts rules, maps terms, ranks issues, and explains lineage. Two rules make that safe in a regulated institution. Every AI action is grounded in the governed record and cited. And the approve action does not exist for an agent.
The rules this product can't break.
These aren’t policy documents. They’re built into the product and wired into the product as invariants. Ask in a working session and we will show you each one holding, live.
Derived, never set
Trust states are recomputed from evidence. No screen, API, or migration can hand-set one.
One decision door
Every governed change passes a single decision point that seals actor, inputs, and rationale.
Seal, fail closed
Decisions land on a hash-chained ledger. If the chain cannot be sealed, the write is refused.
Absence is failure
A missing run or unmapped control reads as failing, never as green.
Claims are never truth
Imported metadata lands as a claim and is reconciled against what evidence can derive.
Federate, never copy
Metadata flows up. Your data stays in your systems, governed where it lives.
Agents propose, humans decide
AI drafts, ranks, and explains. It structurally cannot approve.
The examiner's frameworks arrive as packs.
Versioned vocabularies and control libraries for the regulations your examiners bring: BCBS 239 and liquidity reporting lead today, and more arrive behind them. Connectors ship with the platform, with no per-connector fees, so your first 90 days go to your data, not to setup.
Start with one report, then extend across the bank.
You buy outcomes in sequence, and each step ends at an exit gate you approve before more of your budget is spent. There is no rip-and-replace and no leap of faith.
tap any stop · one sponsor, one data engineer, and report owners for about two hours a week is the whole ask
Prove it
You start with one priority report, five source systems, and your first evidence pack built from your own lineage, all on the regulatory-reporting budget you already have.
Extend
You add more reports, more domains, and more of the platform, with each step behind an exit gate you approve before the next dollar is spent.
Scale
Governed data is published as products, and your AI models, agents, and prompts are governed on the record the rest of the bank already trusts.
Your boundary, your call.
Run it as SaaS or entirely inside your perimeter. It is the same product either way. Your rows never leave your systems, only metadata moves, and you hold the keys, including the kill switch.
The easiest way to understand it is to try it.
Ten working demos live on this site, with no signup and no sales call. This is the index.
We are early, and we say so.
OntaVera is in founding design-partner conversations with a small number of institutions. No logos, no invented case studies, no benchmarks that are not yours. What we offer instead is a working session against your own report, exit gates before any spend, and evidence you can re-verify without trusting us. Claims are never truth applies to us first.
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.