Enterprise
It covers the systems your whole organisation relies on.
Enterprise Semantic Data Models, built for you
Your systems, understood.
SemanticTwin.ai turns the documents and code you already have into a trusted semantic model of your system. Your people can understand it. Your AI agents can use it.
Video
Watch the short explainer
A short introduction to Enterprise Semantic Data Models, and to how SemanticTwin.ai builds one from the documents and code you already have.
What is an ESDM?
An Enterprise Semantic Data Model is a map of what your systems mean.
It names the business things your systems deal with, how they connect and which rules apply, all in plain business language. It also records where each one lives: which table, which column, which document.
Semantic
It is about meaning: “prch_ordr is a material request”.
Data model
It is structured, so people and software can both read it.
Think of it as a map and a translator in one: a digital twin of what your system knows. Your people use it to understand the system, and your AI agents use it to stop guessing.
From scattered documents to a trusted model
Built by hand, a semantic model takes rare skills and weeks or months. SemanticTwin.ai does the reading, matching and drafting; your team keeps every decision.
Bring what you already have: 46 kinds of input
- Requirements (BRD)
- Functional specs (FSD)
- Process flows and BPMN
- API docs (OpenAPI, GraphQL, WSDL)
- Database schemas (DDL)
- Data models in code
- Glossaries
- Policies and rules
Your documents and code
Requirements (BRD, FSD), process diagrams, API docs, database schemas (DDL) and code
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SemanticTwin does the work
Reads everything: text, tables and diagrams. Schemas and API specs are read exactly.
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SemanticTwin does the work
Cross-checks and discovers: it matches things across files, flags disagreements, and finds each item in three independent runs.
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Your team makes the decisions
Confirm the scope: keep it, drop it, or keep it for reference.
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SemanticTwin does the work
Builds the model step by step, with proof on every fact.
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Your team makes the decisions
Review at each gate: correct anything before it moves on.
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Your team makes the decisions
Approve and publish: nothing goes live without sign-off.
A trusted semantic model of your system
Proof for every fact: every element links to the sentence or schema line it came from, checked word for word.
People outrank software: a rebuild never overwrites your team’s decisions.
From cryptic to clear
| In the database | What it means |
|---|---|
prch_ordr | A material request raised by a buyer |
mvt_prch_ordr | The purchase order created when a quote is accepted |
ODCF | Order confirmed |
From one requirements document and one database schema, SemanticTwin built a model of a procurement system: 12 business things, 69 details and 18 connections, each linked to its source.
Build it once. Use it everywhere.
One semantic model powers 34 uses across your organisation, and 23 of them are built into SemanticTwin.ai today.
- 34 uses
- 23 built in
- 7 areas
AI and agents
AI assistants and agents understand your system instead of guessing.
- Connect AI assistants through MCP Built in
- Ask plain-English questions about your data Built in
- Agents that act within your business rules
Software development
AI coding agents build from a blueprint that matches the business.
- Agentic development from one shared blueprint
- Spec-to-code pipelines Built in
- See the impact of a change before you make it Built in
Knowledge and documentation
Documentation and a shared language, generated from the model.
- An enterprise knowledge graph Built in
- Twelve documents that write themselves Built in
- One shared business glossary Built in
System analysis
Know what a system does before you change, replace or buy it.
- Understand an unfamiliar system Built in
- Find gaps between documents and reality Built in
- Due diligence after an acquisition
Data and analytics
One definition of every field and every number.
- A data dictionary Built in
- Metrics that mean the same thing everywhere Built in
- Automatic data quality checks
Governance, risk and compliance
Answers for regulators, already written down with proof.
- Know where personal data lives Built in
- Audit-ready history of every change Built in
- Respond faster to regulatory change
Business and people
Knowledge that belongs to the organisation, not a few people.
- Keep knowledge when experts leave Built in
- Hand a system to a partner on day one Built in
- Align business and IT on one model Built in
See your system clearly.
Watch SemanticTwin.ai build a semantic model from real documents.
Book a demo