Entrepreneurship & Venture Building
Helping founders move from an idea to evidence a venture is worth building.
- Customer discovery
- Problem validation
- Business model design
- Market research
- Go-to-market strategy
- Prototyping
- Venture experimentation
u.lab
An innovation and experimentation lab.
We help organizations, governments and entrepreneurs understand problems, test ideas and build practical solutions.
When the answer isn't obvious, we research the problem, explore the options and test what works.
Problem → Research → Experiment → Evidence → Decision
Engagements structured for
Why we exist
Some problems need more than advice.
A government department wants to improve a public service. A company wants to know whether AI can actually improve its operations. A founder has an idea but doesn't know whether customers will use it. An institution wants to digitise a process but doesn't know where to start.
These problems don't always need another report or presentation. Sometimes they need someone to investigate the problem, build something and test it.
That's where u.lab comes in.
Start a Conversation →What we do
Four capabilities, used in sequence
01
Research
We investigate markets, technologies, users, organizations and problems to understand what is really happening.
- Market research
- User research
- Technology research
- Competitive analysis
- Emerging technology intelligence
Strategy
We turn information into decisions. We help identify opportunities, evaluate options and determine what should happen next.
- Opportunity assessments
- Product strategy
- Technology strategy
- Business models
- Innovation strategy
Experimentation
We test ideas before organizations commit significant time and money. We design focused experiments, pilots and proofs of concept to answer specific questions.
- Prototypes
- Pilots
- Proofs of concept
- User testing
- Process experiments
- Technology trials
Building
When there is something worth building, we build it. Depending on the problem, that could be a digital product, AI application, internal tool, prototype, program or new venture.
- MVPs
- Digital products
- AI solutions
- Internal tools
- Prototypes
- Venture concepts
Our programmes are built around four core capabilities: research, strategy, experimentation and building.
Working with institutions
How we handle your problem, your people and your data.
Public institutions and large organisations need to know how an outside team will work before they share anything. These are the terms we start from.
Request a briefing →01
Confidential by default
The problems you bring us stay between us. We agree what can be shared, with whom, before any work begins.
02
Defined scope and ownership
Every engagement starts with a written scope: the question, the experiment, who owns the outputs and when it ends.
03
Minimal data, clear access
We only ask for the data an experiment needs, and agree in advance who on our side can see it.
04
Your compliance requirements
Procurement, security or data-handling rules you operate under are built into the engagement plan from day one.
05
Documented evidence
Findings are written up so they can be reviewed, audited internally and defended in front of decision-makers.
06
Decision, not dependency
We hand over what we learned so your team can decide — build, change or stop — without being locked in to us.
Programmes & Labs
Programmes & Labs
Sometimes the best way to solve a difficult problem is to bring people together, test ideas and learn by doing. u.lab designs and delivers practical programmes and experimentation labs for organizations, governments, entrepreneurs and institutions — combining research, strategy, experimentation and building to help people move from ideas to evidence and action.
u.lab doesn't sell one-size-fits-all solutions. We design programmes around the problem, the people involved and the evidence needed to make a better decision.
- Problem
- Research
- Strategy
- Experiment
- Build
- Evidence
- Scale
AI & Emerging Technology
Finding where AI and new technology can genuinely help, and testing it safely.
- AI strategy
- Opportunity discovery
- AI experimentation
- Emerging tech intelligence
- Adoption workshops
- Future-of-work exploration
- Responsible tech experimentation
Innovation Labs & Challenges
Structured formats that bring people together to solve a defined problem.
- Innovation challenges
- Design sprints
- Problem-solving labs
- Rapid experimentation
- Prototyping
- Pilot programmes
- Innovation competitions
Public Sector Innovation
Practical experimentation for better public services and policy.
- Public service innovation
- Digital transformation
- Policy experimentation
- Government AI exploration
- Service redesign
- Future scenarios
- Capacity building
Ecosystem & Train-the-Trainer
Building the people and institutions that can run this work themselves.
- Facilitator training
- Programme design
- Curriculum development
- Train-the-trainer
- Ecosystem mapping
- Community building
- Institutional capacity building
Defence & Dual-Use
Bringing the technology ecosystem together around the strategic problems shaping defence, security, resilience and critical infrastructure.
- Innovation challenges
- Technology demonstrations
- Startup–government collaboration
- Defence innovation sprints
- Pilots & field experiments
- Technology scouting
- Cross-sector working groups
Have a programme in mind? We can design it with you, deliver it with you, or help you build the capacity to run it yourself.
Design a Programme →Use Cases
Use Cases
Illustrative experiment01
Government
Public Service Innovation
A public service is slow and frustrating for the citizens who rely on it. u.lab maps where the process breaks down and pilots a redesigned version at one site to measure whether it works before scaling.
Illustrative experiment02
Corporate
AI Opportunity Discovery
A company knows AI matters but can't tell where it would genuinely help. u.lab researches its operations, identifies the most promising tasks and runs small AI experiments to show what is worth adopting.
Illustrative experiment03
Bank
Innovation Challenge
A bank wants fresh ideas for reaching underserved customers but lacks a structured way to find them. u.lab designs and runs an innovation challenge that sources, tests and prototypes the strongest concepts.
Illustrative experiment04
Startup
Venture Validation
A founder has an idea but no evidence that customers will pay for it. u.lab designs focused customer discovery and low-cost experiments that produce a clear decision to build, change or stop.
Illustrative experiment05
University
Entrepreneurship Programme
A university wants students to build real ventures, not just write business plans. u.lab designs a practical programme around customer discovery, prototyping and experimentation, and trains staff to run it.
Illustrative experiment06
NGO
Programme Innovation
An NGO's programme isn't delivering the impact it expected. u.lab investigates why, then tests alternative approaches with participants so the next version is based on evidence.
The work is the proof
The kinds of questions an experiment can answer
Illustrative experiment01
AI adoption
"Can AI actually help us?"
What you end up with
A clear understanding of where AI can help, what works and what it would take to implement it.
Illustrative experiment02
Founder validation
"Will people actually use this?"
What you end up with
Evidence to decide whether to build, change or stop.
Illustrative experiment03
Public-sector process
"This government service takes too long."
What you end up with
A tested improvement that can be measured and potentially scaled.
Illustrative experiment04
Emerging technology
"Can this technology work here?"
What you end up with
Evidence about whether the technology is worth pursuing.
Illustrative experiment05
New venture
"We want to launch something new."
What you end up with
Better information before a larger investment is made.
How we work
Understand → Explore → Test → Learn → Build
- 01
Understand
We start with the problem. What is happening? Who is affected? What do we know? What don't we know?
- 02
Explore
We research possible approaches, technologies, markets and solutions.
- 03
Test
We build the smallest useful experiment and put it into the real world.
- 04
Learn
We look at what happened. What worked? What didn't? What surprised us?
- 05
Build
We use what we learned to improve the solution, run another experiment or decide that the idea isn't worth pursuing.
"We don't need every experiment to succeed. We need every experiment to produce useful information."
Who we work with
Five kinds of collaborator
- 01Governments & Public InstitutionsFor public problems that need new approaches, better services or practical experimentation.→
- 02CompaniesFor organizations exploring technology, improving processes or developing something new.→
- 03EntrepreneursFor founders validating ideas, researching markets and building their first version.→
- 04Researchers & SpecialistsFor people with expertise who want to collaborate on interesting problems.→
- 05PartnersFor organizations that want to sponsor, fund or participate in experiments.→
Why u.lab
Five commitments we hold to
- 01
We start with the problem.
We don't force every problem into a predetermined solution.
- 02
We test before we scale.
Small experiments can prevent expensive mistakes.
- 03
We build when building makes sense.
Sometimes research is enough. Sometimes you need a prototype.
- 04
We work across disciplines.
Technology, research, business, design and strategy often need to come together.
- 05
We care about evidence.
A good idea is only a hypothesis until it meets reality.
Difficult questions
The questions we find interesting
We would map where time is actually lost, then test AI on one narrow task before anyone signs a platform contract.
We don't always know the answer. That's the point. We experiment.
BRING US THE
PROBLEM →
PROBLEM →
You don't need to have the solution. Start with the problem. Tell us what you're trying to figure out, and we'll help determine what needs to be researched, tested or built. Bring us the problem.