Give your enterprise
a brain.
Davynci builds one understanding of your data — what it means, where it came from, and whether to trust it — and makes it available to every team and every AI agent. Governed by default.
The shared semantic layer your teams and AI agents work from
The problem
Enterprise AI fails on the data it never understood.
Nothing knows the estate end to end — what the data means, where it flows, whether to trust it. Every new agent rebuilds that context from scratch. Davynci builds it once, as a shared layer your teams and AI agents both work from.
The semantic layer
One context layer. Every agent reads it.
Davynci's brain exposes a single semantic layer — the bridge between your data and your AI. Teams and AI agents read meaning, lineage, quality and access from it without wiring up each system, while your sources feed it and agents keep it current.
The brain — your semantic layer
Semantic Layer for AI agents
Five super-agents build & maintain it
Tap a capability to see what it holds — the lineage, quality, and privacy tools live inside the brain, not on top of it.
How it works
A loop, not a pipeline.
Most platforms ingest once and serve. Davynci runs a loop — and the loop is why it compounds.
Agents build it
Five super-agents scan your estate daily — discovering lineage, generating quality rules, finding PII, mapping standards. No one fills in a catalog. The brain assembles itself.
Everyone reads it
Ask anything in plain language. Humans through the UI, AI agents through one open interface — each answer carries the meaning, lineage, and privacy context the brain already knows.
Confidence compounds
Each rediscovery strengthens a relationship's confidence; unconfirmed ones decay. Feedback and usage re-rank what matters, so the graph gets more certain over time.
Build → Consume → Learn → Build. An appreciating asset, not depreciating documentation.
Applications on the brain
One brain. Every discipline.
Because the intelligence already lives in the graph, each discipline is an application that reads from it — not a separate tool you integrate and maintain.
Data lineage
Attribute-level, source-to-report — including dependencies not yet catalogued, shown honestly.
Data quality
Rules auto-generated from the graph; anomalies detected, explained, and traced to root cause.
GDPR & PII
Sensitive data found and classified across every system, masked automatically in every answer.
Business glossary
Assets mapped to standard terms, so the business and the data speak the same language.
Ask your data — guardrailed
Plain-English questions become governed SQL — PII-masked, access-scoped, sandboxed, and audited.
These are applications of Davynci — not the product. The product is the brain they all run on. Which is why a lineage answer already knows the quality score, and a quality alert already knows the lineage.
Why Davynci
Not a catalog. Not a point tool. A brain.
Catalogs remember. Davynci understands.
A catalog is an inventory humans type into — and it decays the moment they stop.
Davynci's agents do the work, and the graph learns: relationships gain confidence when re-confirmed and fade when they go stale. It maintains itself.
Most tools cover one discipline.
A quality tool watches quality. A lineage tool draws lineage. Neither shares a brain.
Davynci is the brain every lane runs on — so lineage, quality, privacy, and meaning are one connected intelligence, not four disconnected products.
Built for the enterprise
Serious infrastructure, not a demo.
Designed to hold at 100,000+ tables and millions of columns — indexed, bounded, and materialized from the first query.
Every relationship carries a Bayesian confidence that strengthens or decays with evidence — you see how sure the brain is.
Graph algorithms and statistics do the load-bearing work; AI adds meaning and explanation. Every answer is traceable.
Runs on open and frontier LLMs alike. Your intelligence is yours — portable across models, agents, and clouds.
SSO, domain-scoped access, automatic PII masking, and an immutable audit trail on every answer.
No green-over-empty. If something isn't known yet, the brain says so — because a wrong answer costs more than a missing one.
What we believe
Convictions that shape every decision.
Intelligence should compound.
Knowledge that improves with use is an asset. Knowledge you re-enter by hand is a liability. We build the former.
Context is built, not typed.
The understanding your best analyst holds should be produced by agents and refined by people — not trapped in one head or one wiki.
Open to every agent.
Your data intelligence should move freely across models and tools. No lock-in on your own knowledge.
Give your enterprise a brain.
See Davynci build a living graph of your estate — and watch it answer questions no single system could.