Your AI agents don't have a data problem. They have a meaning problem.
Connecting an agent to a database is easy. Making it understand what a customer, an active agreement or available inventory actually means — and what it is allowed to do with them — is the hard part. Dataceen solves that by turning one description of your business into everything applications and AI agents need: secure APIs, MCP tools, SDKs, search, events, documentation and permissions. Generated from one model. Governed the same way for people and agents.
One semantic model. Every application, every developer, every AI agent — with the same meaning and the same rules.
Same identity, same permissions for developers, applications and AI agents.
Your data stays in databases and cloud you control. Nothing is copied into a proprietary store.
Start from what you have: API specs, database schemas, PDFs or a plain business description.
From raw data to executable context
What the model becomes the moment you publish it.
Start with what you have
Dataceen creates the system
Generate what you need
Data stays in storage your business owns and controls.
Raw access isn't enough
Every enterprise AI project hits the same wall. The agent can reach the data, but three systems disagree on what a customer is, nobody has written down which fields it may change, and the permissions live in integration code and people's heads. That isn't a data quality problem. It's missing context.
With raw data access
- The agent guesses what fields mean
- Definitions differ between systems
- Permissions are reimplemented for every consumer
- Every new app or agent is a new integration project
- No record of what the agent did or why
With Dataceen
- Entities, relationships and rules are defined once
- The same meaning in the API, the SDK, the search index and the MCP tool
- Permissions come from your directory and apply to humans and agents alike
- New consumers reuse the model instead of rebuilding it
- Every change is recorded as an event you can replay and audit
A semantic model — not as a diagram, but as executable context.
Typical starting points
You don't start from a blank page. Bring whatever you already have and Dataceen takes it from there.
We want AI agents to use our data safely
Expose your data through MCP tools that carry your business meaning, your permissions and an audit trail — instead of a raw database connection.
We have an OpenAPI spec
Import your OpenAPI/Swagger files and get a connected data model with relationships, security, and documentation.
We have PDFs describing the domain
Upload policies, guides, and specifications. Dataceen extracts entities, relationships, and rules into a semantic model.
We have tables but no good consumption API
Connect your database schema and generate a governed graph model with production-ready APIs.
How Dataceen works
From the knowledge you already have, to a generated software foundation — in three simple steps.
Describe your data
You don't start from a blank page. Begin from what you already have: API definitions, database schemas, PDF documentation, internal models, integration specifications or business descriptions.
Dataceen generates the foundation
Dataceen creates the semantic model and generates everything around it: databases, secure APIs, MCP tools, SDKs, documentation, search, event streams and instructions for coding agents. When the model changes, everything changes with it.
Build, integrate and automate
The generated system can be used by developers, AI coding agents, vibe-coding tools like Lovable and Base44, legacy system integrations, dashboards, admin tools, applications and automation.
From model to working software
Once Dataceen has generated your system, your team gets a complete foundation for building applications, dashboards, integrations and automations — with SDKs, APIs and AI-ready instructions included.
Create the foundation
Dataceen turns your semantic model into a working system with databases, secure GraphQL APIs, MCP tools, search, event recording, subscriptions, documentation and example data.
Download ready-to-use SDKs
Developers can download SDKs generated for the model, including typed clients, examples, quickstarts and documentation for building against the Dataceen APIs.
Build with developers and AI agents
Dataceen includes instructions that help AI coding agents and developers work from the same model, APIs and SDKs. Use them to create dashboards, admin tools, applications and integrations faster.
Integrate and automate
Use the generated APIs, MCP tools and event flows to connect legacy systems, synchronize data, trigger notifications and create operational automation.
One generated foundation. Many ways to build on it.
What you get
Everything generated from the same model — so nothing drifts apart.
Secure APIs
Production-ready REST and GraphQL APIs with authentication, validation, and fine-grained access.
AI agent access (MCP tools)
Model Context Protocol tools so AI agents can query and act on your data safely.
Developer SDKs
Auto-generated SDKs in popular languages to accelerate integration and reduce boilerplate.
Documentation
Human- and AI-friendly docs with schemas, examples, and change tracking.
Search & events
Semantic search across your system and real-time events for data-driven workflows.
Example data
Realistic, privacy-safe example data to speed up development and testing.
Enterprise-ready by design
Your business controls where Dataceen-managed data is stored.
Why teams choose Dataceen
A governed layer between your business data and everything that consumes it.
One model, many consumers
A single semantic graph model powers APIs, SDKs, search, docs, and AI tools — no redundant models to maintain.
Secure by design
Role-based access, field-level permissions, row filters, and audit logs built in from day one.
Ready for AI agents
MCP tools generated from the model give agents the business meaning, the relationships and the permissions they need — the same ones your developers use.
Faster app & integration development
Generate production-ready APIs, SDKs, and docs in minutes instead of hand-building integration layers.
Your data, your control
Dataceen does not force your operational data into a proprietary storage layer. Your business can control where Dataceen-managed data is stored, supporting compliance, governance, data residency, and enterprise security requirements.
One foundation. Developers and AI agents build from the same model.
AI agents don't replace developers. Dataceen gives developers and AI agents the same trusted model, APIs, SDKs and instructions — so dashboards, applications, integrations and automation stay aligned with one secure data foundation.
Give your AI agents — and your developers — the same understanding of your data.
Describe your business once. Dataceen generates the secure foundation around it: APIs, MCP tools, SDKs, search, events, documentation and permissions — with your data staying in your control.