GRL Generators

Software that defines and runs entire businesses. We've built it.

From a single business definition, our platform generates complete enterprise data stacks — APIs, applications, governed AI agents, MCP servers — in minutes. When the business changes, everything updates.

The Shift

Listen to what the world's biggest builders are saying.

"The entire factory is software-driven."
Jensen Huang, NVIDIA
"Macrohard aims to emulate the function of entire companies."
Elon Musk, March 2026
"$100 billion to acquire manufacturers and rebuild them with AI."
Jeff Bezos, Project Prometheus, March 2026

Three of the most powerful builders on earth. Three different industries. One clear conclusion: software will change entire businesses. At GRL, we can endlessly generate the data that powers that change.

How It Works

But how do GRL's tools work?

The answer is two words most people have never seen together: ontology-driven declarative generation. An ontology defines your business - precisely, completely, in a way that machines can read. Our patent-pending declarative generation engine reads that definition and produces complete enterprise systems: APIs, applications, MCP servers, governed AI agents. Working software, generated directly from the meaning of your business.

When the business changes, update the definition - every system rebuilds itself. No other technology can do this.

They proved it

Palantir built their entire company on an ontology.

Palantir has became one of the most dominant enterprise technology firms in the world using an ontological approach.

We made it declarative

Graph Research Labs makes it reusable.

A declarative generation engine that takes an ontology and creates all your data assets. When business changes, data assets update at a fraction of the time and cost.

APIs Applications AI Agents Data Products Governance
The GRL Difference
AI-generated code
Scaffolding
Suggestions
Our Declarative Engine reads a formal business definition and produces complete, working enterprise systems - deterministic, governed, and auditable from the first line.
Our technology adapts to your business. Your business never has to adapt to the technology.
Think it sounds too good to be true?
We can prove it!
2
minutes
From an ontology to working code, APIs, MCP servers, React apps, and governed AI agents - using our GRL Generators.
Our Tools

GRL Generators

Ten tools that manage the complete lifecycle - from defining your business model to generating, governing, and evolving your entire enterprise stack. Each tool maps to a layer of our platform architecture.

Ontology Manager
Layer 1 - Ontology
Define your business model: entities, relationships, rules, and governance requirements, in one place.
Business Model Creator
Layer 1 - Ontology
Design ontologies from your business processes and domain knowledge.
Graph Data Pipeline Service
Layer 2 - Knowledge Graph
Ingest, transform, and load enterprise data into your knowledge graph from any structured source.
Document Integrator
Layer 2 - Knowledge Graph
Extract structured data from unstructured documents: PDFs, contracts, clinical notes, using LLMs governed by your ontology.
REST API, MCP & React Generators
Layer 3 - Generation
Generate production-ready REST APIs, MCP servers, and React applications directly from your ontology in minutes.
Graph Data Product Publisher
Layer 3 - Generation
Package and publish governed data products - ready for consumption across teams and systems.
Graph Insights Explorer
Layer 4 - Insights
Query and visualise your knowledge graph. Surface patterns, relationships, and insights across your enterprise data.
Data Quality Manager
Layer 5 - Governance
Validate, profile, and enforce data quality rules across your knowledge graph.
Governance Metagraph
Layer 5 - Governance
Track provenance, lineage, and audit trails across every generated artefact. Governance built in, not bolted on.
Semantic Agent Harness
Layer 6 - Agents
Governed AI agents that reason over your knowledge graph - controlled, auditable, and grounded in the ontology.
The Use Cases

See what ontology-driven declarative generation looks like in practice.

01
Instantly integrate & create custom Apps & API's with GRL Generators

Build knowledge graphs without the complexity

Connect Knowledge Graphs to enterprise data & tech stacks, and create and integrate your own custom REST API's, React Apps, Message Queues, and LLM's within a few minutes. When the ontology changes, every generated system updates automatically - no manual re-integration, no broken endpoints.

GRL Generators overview

02
Use LLM's and GRL Generators to Clean & Integrate Dead Data

Transform dead unstructured data with AI-powered extraction

Integrate dead data like PDF's and convert to clean, structured data by using LLM's with GRL Generators. Compliance policies, clinical notes, contracts, regulatory filings - all transformed into governed, queryable knowledge.

GRL Generators transform unstructured data

03
High Performance Custom LLM Apps with GRL Generators

Build custom LLM applications with knowledge graph context

Create high performance custom LLM Apps that reduce hallucinations using GRL Generator-created MCP servers. Your AI reasons over your actual data relationships - controlled, governed, and grounded in the ontology.

GRL Generators custom LLM apps

04
Advanced Regulatory Reporting with GRL Generators

Automated regulatory & climate reporting platform

Create any type of regulatory reporting, such as Climate-related Financial Disclosures in real time. When regulations change, the ontology updates and the reporting platform rebuilds itself - no re-coding, no compliance gaps.

GRL Generators regulatory reporting

05
Govern your data with GRL Generators

Real-time data governance across apps, APIs and LLMs

Using ontology and GRL generators all data in APPs, API's, Messages, Search and LLM are kept in sync, governed and controlled in real time. Every generated artefact inherits the same governance rules - provenance, lineage, and audit trails built in from the start.

GRL Generators governance
The Economics

What our approach saves you

Traditional enterprise programmes cost millions and take years before anyone sees a working system. GRL's declarative generation changes that equation entirely. Because our platform generates rather than codes, every engagement compresses in cost, in time, and in risk. Our engagements scale to scope, not to overhead.

Metric
Traditional
With GRL
$1M project scope
$1M
~$500K
Time to production
12 – 24 months
~6 months
First integration
6 weeks
2 minutes
Risk

How GRL reduces enterprise risk

The single biggest risk in enterprise technology is not choosing the wrong vendor - it is spending years and millions before you discover the approach does not work. We have engineered that risk out of the process.

2 minutes
See it work

Within minutes of defining your ontology, you see generated APIs, applications, and knowledge graphs running. Not a mock-up. Working software.

Weeks
Prove it with your data

Connect your own data sources, test real workflows, validate against your compliance requirements. You know whether this works before you commit.

6 months
In production

From first definition to enterprise production in approximately six months. Every phase delivers working software, and you can stop at any point.

~50%
Of traditional cost

Financial exposure at every stage is a fraction of what a traditional programme demands.

Incremental
No contract lock-in

Each phase is a separate commitment. No multi-year contracts. You proceed only when you have seen enough value.

Open standards
No vendor lock-in

Everything uses open standards and modern cloud infrastructure. Your ontology, your data, your systems - they belong to you.

Industries We Serve

Deep domain expertise across regulated and complex industries.

Our Tools
Healthcare
Banking
Insurance
Defence
Local & Central
Government
Telecoms
Climate
& ESG
Education
Agriculture
Energy
Aerospace
Space Science
Case Study

ClimateTracker: End-to-End Climate Disclosure Platform

The transactional core of the React Climate app was created in minutes using Graph Research Labs technology, saving the ClimateTracker developers years of backend coding work.

The resulting ClimateTracker platform streamlines climate disclosure reporting, records management & sustainability analysis, and handles unstructured data to meet reporting climate standards such as IFRS S2, NZCS1-3 and AASB S2. It can rapidly create new products for different countries' climate needs and just as importantly keep up to date as the countries change their requirements.

ClimateTracker architecture
Honest Review

Independent review of Graph Research Labs

Ashleigh Faith, PhD from isADataThing, reviews Graph Research Labs in her Knowledge Graph Technology Showcase Honest Review Series (Winter 2025 E3).

AF
Ashleigh Faith, PhD
isADataThing · Knowledge Graph Technology Showcase
30:00
Independent review
Honest Review
30:00
Ready to Deploy

GRL Ontology Library

Our tools work with your ontologies, or we can create one for you. Deploy your ontologies instantly with our Generator tools.

Banking Payments
NZ API Specification
Climate Related
Financial Disclosure
Insurance – Lloyds
Core Data Record
FHIR Healthcare
Regulatory
Compliance
APRA
Compliance Pack
More ontologies available
— enquire for your needs