The autonomous data platform
Meet Veracy, the autonomous data platform that builds itself (contracts, models, quality, governance, semantics) and proves every step, verifiably, offline. You don’t build; you approve.
Whatever stack you assembled, it inherits the same two problems: every tool starts empty, and none of them talk to each other.
Every tool greets you with an empty sheet and a manual: configure me, model into me, write your definitions into me. Your best people spend their time on plumbing instead of meaning.
Veracy The page arrives filled. Contracts, models, rules and metrics are authored from your data. You review and sign.
The transformer does not know what the catalog says. The quality suite does not know what the semantic layer serves. Nobody agrees on lineage, so every audit turns into archaeology.
Veracy One contract drives every step coherently, and every step is recorded, so you can prove the number on the dashboard is right.
Today · your stack
With Veracy
From isolated tools to connected intelligence.
Connect
Give Veracy a read replica. It profiles what it finds and writes the data contracts for you: no hand-written YAML, no blank page.
No more juggling a dozen tools. One platform does three jobs, and every capability shares the same chain of custody.
01 · It authors
Contracts, models and documentation are drafted from your own sources. You review a filled page, never a blank one.
Point Veracy at a source and it writes the data contract for you: schema, quality expectations, SLAs.
Auto-authored ODCS contracts · SLA and breach monitoring · Versioned and drift-aware
Connect databases, warehouses and files. Veracy lands the data, derives the warehouse models and keeps them converged.
Onboard a read replica in days · Auto-derived warehouse layers · Self-healing on schema drift
Assets, owners, definitions and history are cataloged automatically, with vocabulary seeded from open industry standards.
Automatic cataloging · Industry-standard vocabulary · Works with the catalog you own
02 · It understands
Relationships and lineage are discovered, questions are answered in your own vocabulary, and bad rows are stopped before they reach a report.
Veracy maps how your entities relate, tracks lineage from source to report and tells you what breaks before you change it.
Automatic relationship discovery · End-to-end lineage · Impact analysis
Natural-language questions aligned to your own glossary. The answer is compiled as deterministic SQL: the same question returns the same number.
Business-vocabulary queries · Deterministic answers · No hallucinated numbers
Quality rules come from the contract. Bad rows are quarantined before they reach a report, and anomalies are flagged continuously.
Contract-generated rules · Quarantine before the mart · Continuous profiling
03 · It serves
Access is enforced inside the engine, every metric has one definition, and people, dashboards and AI agents all get the same number.
Access policies are declared once and enforced natively inside the engine, fail-closed and audited, the way GDPR and HIPAA expect.
Native row-level enforcement · Fail-closed by default · Audit trail built in
Metrics, KPIs and scorecards defined once and served consistently to every tool, for people and for AI agents.
Portable business definitions · Consistent metrics everywhere · Governed serving for agents
Dashboards, scorecards and AI agents consume the same semantic layer, so every answer ships with a receipt its consumer can verify.
Governed dashboards and scorecards · Agent-ready answers with receipts · Same number in every tool
Why Veracy
Most data platforms automate execution and leave the authoring to you. Veracy takes the best tools of the modern stack and runs their processes for you, coherently, from one contract, then hands you a finished, sealed result.
Contracts, models, quality rules, governance and metric definitions are authored by the platform from your own sources. Your team reviews and signs; it stops writing plumbing.
Every table carries its own chain of custody: identity that cannot be forged, access that fails closed, receipts your auditor (or a partner) can verify offline.
Open standards at every layer: ODCS contracts, Iceberg and Parquet tables, industry vocabularies, portable SQL. Leave any day and keep everything.
Trust you can show your auditor
An automated warehouse you can’t verify is a risk, not a shortcut. Every step is sealed into a chain of custody that follows the data all the way to the answer.
01 · Identity · the contract
Every record keeps its identity through time. Nothing can be hand-crafted or quietly rewritten.
Stop paying for the plumbing when you only care about the water.
Platform sprawl, audit cost, eroding trust in the numbers.
One platform replaces warehouse automation, catalog, quality tooling and the glue team, so budget moves from construction to business value.
Per-table pipeline code and 2 a.m. drift firefighting.
Point it at the source and the platform authors, builds and keeps the estate converged. Drift heals itself; failures keep their evidence.
“Which number is right?” and copilots that make things up.
Ask in your own words and get the same governed answer every time. The AI helps you ask; the SQL is guaranteed.
100% observation, 0% authority.
Agents need governed data, but every API demands trust.
Answers ship with receipts any agent can verify offline. Machine-to-machine consumption, no trust negotiation.
Turn months of audit panic into an export.
Policies nobody enforces; evidence assembled by hand.
Access is declared once and enforced everywhere. Every table carries an offline-verifiable chain of custody, so proving a number is an export, not a project.
The demo is the migration
Give us a read replica. Walk into your governed warehouse this week.
A proof of value costs days, not quarters, and when the pilot ends, the migration is already done.
Get started
Point it at your sources. Sign what matters. Everything else is authored, derived and proven by the machine, with a receipt for every step. Join the waitlist to be among the first estates onboarded.
