Work With Us

Before you commit to a multi-year programme and a team of consultants, talk to us.

We don't just consult on regulated industry technology. We generate it. From a single business definition, our platform produces complete enterprise stacks — APIs, applications, knowledge graphs, governed AI agents — in minutes.

"Define your business once. The technology builds itself around it."

Graph Research Labs is built for technology leaders.

Our platform does not ask you to replace what you have. It wraps around your existing systems, integrates your data, and generates a working system from your business definition. Working software, in minutes, with data assets you own and control.

Integrate, don't replace
Advisory that transfers
Data assets you own
Open standards
No lock-in
Knowledge transfer
One Ontology, Six Layers

Define your business once. We generate the rest.

From a single ontology, our platform produces six integrated layers — everything an enterprise needs, without the years of custom development.

KG

Knowledge Graphs

Structured data foundations that capture relationships across your enterprise

API

APIs & Applications

Production-ready interfaces and data products, generated in minutes

BI

Insights & Analysis

Actionable intelligence derived directly from your knowledge graph

GOV

Governance

Enterprise-grade controls, audit trails, and data quality assurance built in

AI

Controlled AI Agents

AI that acts within your governance boundaries — human-in-the-loop by design

MCP

MCP Servers & Data Products

Machine-readable interfaces that connect your systems to the AI ecosystem

Where We Sit

Palantir proved ontology-driven platforms work. We've made them accessible.

The same foundational approach - ontology as the single source of truth - but built on open standards, at a fraction of the cost and timeline.

The Traditional Approach

Takes years and costs millions

Enterprise knowledge graph platforms have historically required large teams, proprietary infrastructure, and multi-year commitments before delivering value. Proven at scale, but only accessible to organisations with the deepest pockets.

Proprietary 12–24 months Closed platform
The GRL Approach

Takes weeks and a conversation

We took the same ontology-driven architecture and rebuilt it around generation and open standards. A fraction of the cost. A fraction of the timeline. Technology you own outright.

Open standards ~50% of traditional cost 6 months to production Your infrastructure
Economics

The economics of generation

~50%
Of traditional cost
Declarative generation eliminates months of bespoke development
6 mo
Definition to production
Where traditional approaches typically take years and millions
Open
Standards throughout
Runs on your infrastructure — no proprietary lock-in, no dependency

Speed to first working code:

2 minutes
How We Work

Start with a conversation. See value in weeks.

Phase 1

Assess

Determine business scope, identify initial entities and relationships, define success criteria

Phase 2

Architect

Formalise the ontology, design the knowledge graph schema, prototype generated APIs

Phase 3

Proof of Concept

Build and validate a production-ready system with real data and user workflows

Phase 4

Enterprise Production

Deploy, integrate with existing systems, establish governance and support

Each phase delivers working software. Commitment escalates incrementally.