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R&D / GIS LABS 01 — 10
RESEARCH & DEVELOPMENT

Research what comes next.

We investigate emerging technologies, operating models and intelligent systems before they become conventional.

GIS RESEARCH SYSTEM LIVE
0 ACTIVE
EXPERIMENTS
RESEARCH STREAMS 0
STATUS ACTIVE
MODE BUILD
SCROLL TO ENTER THE LAB
GENERAL INTELLIGENT SYSTEMS / GLOBAL
02
OUR RESEARCH POSITION

We don’t research for the shelf.

Research becomes valuable when it changes what an organisation can do. Our work connects exploration with prototypes, prototypes with operating environments, and operating environments with measurable outcomes.

NEXT
03 THE RESEARCH ENGINE
GIS
01 / OBSERVE

Find the signal.

We examine emerging technologies, policy, markets, organisations and behavioural shifts to identify developments worth investigating.

DISCOVERY
02 / QUESTION

Challenge the assumption.

We turn observations into testable questions, challenging established operating models and assumptions about what technology should do.

HYPOTHESIS
03 / PROTOTYPE

Make it tangible.

Concepts become interfaces, models, workflows, simulations and working prototypes that can be interrogated rather than merely discussed.

BUILD
04 / EXPERIMENT

Put it under pressure.

We test performance, usability, resilience, economics, governance and operational viability against realistic conditions.

VALIDATE
05 / DEPLOY

Move beyond the lab.

Research that survives experimentation can move into client environments, new products, ventures or reusable GiS capabilities.

SCALE
04 RESEARCH STREAMS

Six frontiers.
One laboratory.

01
AI

Artificial Intelligence

Agentic systems, machine reasoning, multimodal intelligence, decision support and human-AI collaboration.

02
DX

Digital Systems

New architectures, connected platforms, intelligent workflows and the infrastructure behind digital organisations.

03
GOV

Government Futures

Public-service redesign, digital government, administrative intelligence and technology-enabled public infrastructure.

04
ORG

Future Organisations

Operating models, automation, distributed decision systems and new relationships between people, software and organisations.

05
SEC

Trust & Security

Cyber resilience, identity, AI governance, assurance, privacy and responsible intelligent systems.

06
VX

Venture Experiments

Testing emerging markets, product concepts and technologies that may become independent ventures.

05    EXPERIMENT WALL

Experiments, not presentations.

EXP / 001

What happens when software can act?

Exploring systems capable of interpreting goals, planning work, using tools, interacting with enterprise systems and escalating decisions to humans.

GOAL
REASON
ACT
LEARN
AGENT
EXP / 002

Can public services become anticipatory?

Investigating how connected data, automation and decision intelligence could enable services to respond earlier rather than waiting for demand.

CITIZEN DATA SERVICE DECISION
EXP / 003

Can an organisation observe itself?

Creating operational intelligence layers capable of understanding workflows, exceptions, performance and emerging risk continuously.

EXP / 004

When should an experiment become a company?

Testing product-market assumptions, technical feasibility and operating economics before promising concepts enter the venture-building pipeline.

? EXPERIMENT → PRODUCT → VENTURE
06 / FROM QUESTION TO SYSTEM

Research moves.

00

The unknown.

Every programme begins with something we cannot yet answer.

01 QUESTION

What if?

Define a consequential question rather than beginning with a predetermined solution.

02 MODEL

Make sense of it.

Map actors, systems, incentives, information, constraints and potential interventions.

03 BUILD

Make the idea real.

Produce something functional enough to expose incorrect assumptions.

04 TEST

Find where it breaks.

Stress the concept against technical, operational and human realities.

05 LEARN

Change the model.

Feed evidence back into the architecture and iterate rapidly.

06 TRANSFER

Put it to work.

Deploy, commercialise, productise or turn the experiment into a new venture.

07 / LIVE LAB
SYSTEM RUNNING
CURRENT QUESTION

How autonomous should an organisation become?

What happens when every workflow becomes observable?

Can public services predict demand before it arrives?

What should remain exclusively human?

HYPOTHESIS  →  PROTOTYPE  →  TEST  →  FAILURE  →  LEARNING  →  ITERATION  →  DEPLOYMENT  →  HYPOTHESIS  →  PROTOTYPE  →  TEST  →  FAILURE  →  LEARNING  →  ITERATION  →  DEPLOYMENT
08 / RESEARCH PRINCIPLES

Our rules for
exploring the unknown.

01

Build before over-explaining.

A functioning prototype often answers more questions than another hundred slides.

02

Failure is information.

Experiments are designed to reveal weak assumptions early, while changing direction remains inexpensive.

03

Research with reality.

Technology is investigated alongside people, economics, institutions, regulation and operations.

04

Keep humans in the system.

Greater machine capability increases the importance of deliberate accountability and human judgement.

05

Transfer what works.

Useful discoveries should escape the laboratory and become capabilities, products or companies.

09 / COLLABORATE LONDON / GLOBAL

Bring us the question without an obvious answer.

We work with organisations, public institutions, founders and technology partners on questions that require investigation before they require procurement.

START A
RESEARCH
CONVERSATION
10 / END OF CURRENT KNOWLEDGE

The future isn’t something we wait for.

We prototype it.

GENERAL INTELLIGENT SYSTEMS RESEARCH & DEVELOPMENT GIS LABS / 2026
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