Turn your databases into leverage.
Datapace resolves what your databases mean and governs what AI may do with them, served to your agents over MCP. Every action is policy-checked, approved, and auditable.
PostgreSQL
MySQL
MongoDB
Oracle
Microsoft SQL Server
IBM Db2
Amazon DynamoDB
Azure Cosmos DB
Redis
Apache Cassandra
MariaDB
Snowflake
CockroachDB
Amazon Aurora
Google Cloud SQL
ClickHouse
Elasticsearch
Neon
Supabase
TimescaleEveryone wants AI on their data.
The data is not ready for it.
Everyone wants AI on their data
Every team is asking the same question: how do you present your data to the AI? Wanting it is the easy part.
But AI cannot read your database
Decades of schema, derived values, and meaning that lives in people's heads. The builders are gone, so AI guesses.
And one wrong action is catastrophic
A single unchecked statement can drop a table, leak data, or blow the cloud bill. So agents stay sandboxed in demos.
The fix
Datapace makes it ready.
The context layer gives AI what your data means. The control plane governs what it may do. Your agents consume both through the MCP protocol, with every action policy-checked, approved, and auditable.
See how it worksEvery action
The platform
One platform between your agents and your databases.
activation
layer
layer
DatapaceYour databases, made usable by AI. You stay in control.
Datapace resolves the context that makes your databases usable, your experts validate it, and a policy gate governs what AI may do with it. Every action stays reviewable.
- Resolve the estate. Schemas, relationships, and derived values resolved into meaning, with the evidence behind each proposal.
- Your experts validate. Every proposed meaning carries a confidence score and is accepted or rejected by a human, so trust stays explicit.
- Serve it over MCP. Agents, copilots, and BI query the validated map through the MCP protocol.
- Govern every action. Policy checks, human approvals, and an auditable trail on everything AI does against your databases.
- See the whole picture. Quality checks, lineage, freshness, usage, and spend signals on the same graph, so dead weight and hot spots are visible.
- De-risk migrations. Field-level mapping from legacy to target, and only mappings approved by your domain experts feed the migration.research-backed
Then turn that governed data into value.
Once operations are governed, the same foundation lets agents run live models on your data: forecast demand, cost, and capacity, and react as things change. No new pipeline.
Want to see it on your databases?
A short call with the founders: bring a schema and watch Datapace resolve it, under policy, approval, and audit.
What teams run on Datapace.
The same safe foundation powers both pillars, keeping production healthy and turning its data into value.
See all use casesAutonomous DB operations
Built so agents can watch your databases, catch anomalies before they become incidents, and resolve routine issues inside your guardrails, with a human in the loop by policy.
Safe schema migrations
Plan, validate, and execute migrations across engines and clouds. The workflow is designed so every step is policy-checked, reversible, and rehearsed before it touches production.
Turn governed data into value
Because your production data is already governed, agents can safely run adaptive models on it, for example to cut costs or optimize operations. A new kind of value from data you already have.
Built for the teams living with the databases.
End clients running decades-old estates, and the service firms who work inside them. Datapace gives both the context to understand those systems fast, and the guardrails to let AI work on them safely.
Understand the estate your business runs on
Operational parks built over decades (mainframe DB2, Oracle, siloed bases) hold meaning nobody wrote down. Datapace resolves them into a validated map your teams, your BI, and your AI can finally use.
Safe operations your clients can trust
Every client is asking how to put AI on their data. Answer as the enabler: agent actions gated by policy, approved by your DBAs, and recorded in an audit trail, across every environment you manage.
“Everyone wants to use AI. But how do you present your data to the AI?”heard in customer discoveryExplore safe AI database accesspolicy, approval, and audit
Discover source systems in hours, not weeks
Engagements start with the same slow question: what is actually in the client's databases? Datapace resolves schemas into entities, meaning, and lineage, so you scope faster and prototype KPIs on day one.
“I spend a lot of time up front just trying to understand what's in those databases.”heard in customer discoveryExplore data valorisationfrom discovery to prototype
Cut migration mapping from weeks to days
Clients hand over decades of legacy data and expect a clean migration. Datapace maps the source system, traces derived values to their origin, and proposes candidate mappings your domain experts validate.
“Clients hand over 25 years of legacy data and say: figure it out.”heard in customer discoveryExplore ERP data migrationdiscovery to validated mapping
Have a use case in mind?
Bring it to a call and see what Datapace resolves on your live data, policy-checked, approved, and audited.
Built so agents can act on production, safely.
Not an AI company bolting on data access. We put governance first, so production is safe enough for agents to act on.
Safety-first
Agents never act outside policy, approval, and audit. Trust is the product, not a feature.
Global around the database
Meaning, quality, lineage, usage, and cost on one graph. Beyond a semantic layer: the technical reality of your estate, made visible.
Fits your constraints
Deployment, access, and data handling are designed with each partner, engagement by engagement, not imposed by the product.
Canada, U.S. & Europe
Built in Montréal to serve North America and Europe. Data residency and handling are worked out with each partner, in its jurisdiction's terms.
We don't bolt AI onto your data. We make your data safe enough for AI to act on. A control plane where every agent action on production is policy-checked, approved, and audited.
Ready to turn your databases into leverage?
Bring a schema. We'll show you how Datapace resolves it, what your experts validate, and what your AI can safely do with it.