Who we are
Built by people who believe cities deserve better data.
Ujama is a London-based urban intelligence company. We build tools that help planners, developers, and public sector teams make faster, better-informed decisions about the built environment.
Our mission
Urban intelligence for everyone who shapes the city.
Too many planning decisions are made with incomplete data, slow processes, and siloed tools. Ujama exists to change that. Ujama brings together geospatial analytics, AI-generated insights, and compliance screening into a single platform - so teams can spend less time gathering data and more time acting on it.
We work with local authorities, property developers, and urban researchers across the UK, building infrastructure that makes the planning system faster, fairer, and more transparent.
What drives us
Our values
Data integrity
Every score, index, and insight we surface is traceable to a primary source. We do not fabricate confidence.
Accessibility
Urban data should not be locked behind enterprise contracts. We price for teams of all sizes.
Transparency
Our methodology is open. We publish how we calculate domain scores and how our AI generates reports.
Public benefit
We measure success by the quality of decisions made with our platform, not just the number of seats sold.
The people behind it
The team
Sam Stringer
University of Nottingham Engineering student with experience in flight mechanics and UAV analysis at a leading aerospace and defence company. Sam has worked on flight test scenarios and performance modelling, applying engineering analysis and MATLAB to evaluate aircraft behaviour and support real-world testing. He has contributed to data analysis, simulation work, and technical problem-solving within a structured engineering environment, gaining exposure to aerospace systems and safety-critical processes.
Nathan Kinuthia
Manchester University Economics graduate with experience as an Investment Banking Analyst across technology-focused teams. Nathan has worked on live transactions and strategic analysis, supporting founders and investors on capital raising, valuation, and market positioning, with a particular focus on tech-enabled businesses and data-driven business models.
William Chakravorty
Oxford MSc Statistical Science student and Manchester Economics graduate with experience analysing financial markets and macroeconomic data. William has worked on high-frequency macro analysis and cross-asset market interpretation, translating economic releases into investment insights with a focus on data-driven decision-making and quantitative analysis.
Work with us
Ready to bring urban intelligence to your team?
Start a free 14-day trial or get in touch to discuss your organisation's needs.