IN THE FIELD GUIDE
graphresearchlabs
graphresearchlabs.com
Graph Research Labs provides an ontology-driven platform that generates enterprise technology stacks from a single business definition, enabling rapid integration and evolution of data assets. It supports regulated industries by automating API, application, AI agent, and data product generation with full governance and provenance.
THE PRODUCT, BEYOND THE PITCH
Editorially reviewed · Sources checked Sep 11, 2026
A good fit for
- Regulated, complex enterprises requiring compliance, data governance, and cross-system integration.
Know the limitations
- Requires initial ontology definition or existing ontology to generate systems.
What you can do
- Modernising and integrating enterprise systems quickly with high accuracy.
- Creating high-performance large language model (LLM) solutions.
Features
- Generates REST APIs automatically from business ontologies.
- Generates React applications ready to deploy from ontologies.
- Generates MCP servers for controlled AI reasoning.
- Integrates structured and unstructured data into knowledge graphs.
- Produces warehouse-ready data products automatically.
Integrations
Not confirmed yet.
Platforms & data export
- Runs in customer's cloud, on-premises, or fully air-gapped environments with no outbound connectivity required.
- Supports search and export of data audit trails with rules and evidence for regulatory audit.
THE COST FOR YOUR TEAM
Go beyond the starting price.
Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.
Known monthly subtotal
$0.00/month
1 of 1 tools could not be priced with these inputs, so this is not the full cost.
| Tool / plan | Monthly | Per year | What this assumes |
|---|---|---|---|
| No pricing recorded yet. Check the official site, or ask the owner to add it. | |||
A practical workflow
- Connect existing data sources without replacing them during generation.
- See working software with your own data in weeks, not years.
Based on the sources below. Editorial review does not imply hands-on product testing.
Alternatives to explore
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