Sensat
Digital twin infrastructure intelligence from London
What they look for (Software & Engineering): Sensat looks for software engineers and technical builders who are comfortable working at the intersection of large-scale 3D data, cloud infrastructure, and real-time visualisation. Ideal candidates bring strong fundamentals in distributed systems or graphics programming, paired with a genuine curiosity about how the built environment can be modelled, understood, and improved through data. The team values clarity in code and thinking, and gravitates toward people who can ship reliable software in a fast-moving product environment.
What would you bring to Sensat's efforts to integrate machine learning into their geospatial platform?
Mapping Reality, One Point at a Time
Sensat is a London-based geospatial technology company that builds digital replicas of real-world environments. Founded in 2017 by James Dean and Harry Sherwood, the company set out with an ambitious premise: that the infrastructure industry, one of the world's largest and most consequential sectors, was making trillion-pound decisions using tools and data that were decades behind the curve. Sensat's answer was to create a platform capable of ingesting vast quantities of geospatial data, including point clouds, drone surveys, satellite imagery, and sensor feeds, and rendering them as navigable, interactive digital twins.
The company's platform allows engineers, project managers, and planners to explore construction sites, transport corridors, and energy assets in rich 3D detail from their desks. Rather than relying on sporadic site visits or flat drawings, users can measure, annotate, and collaborate inside a living model of a real place. It is a deceptively simple idea with enormous technical depth behind it.
The Infrastructure Problem
Global infrastructure spending runs into the trillions each year, yet the sector is notorious for cost overruns, delays, and waste. A report by McKinsey once estimated that large projects typically run 80 percent over budget and 20 months behind schedule. Much of this inefficiency stems from poor information flow: teams working from outdated surveys, fragmented data sources, and siloed systems that don't communicate with one another.
Sensat's thesis is that better spatial data, made accessible and understandable through modern software, can close these gaps. By providing a single source of truth, a continuously updated digital model of the physical site, the platform aims to reduce rework, catch clashes earlier, and accelerate decision-making at every stage of a project's lifecycle.
From Drones to Digital Twins
In its early days, Sensat operated a drone surveying service, capturing aerial data for clients and processing it into usable formats. Over time, the company shifted its focus toward the software platform itself, recognising that the real bottleneck was not data capture but data consumption. Lidar scanners, drones, and satellites were generating extraordinary volumes of geospatial information, yet most of it sat unused in hard drives and FTP servers because there was no intuitive way to work with it.
The platform Sensat built is designed to handle this challenge at scale. It processes billions of 3D data points into a coherent, browser-accessible environment. Users can overlay different datasets, compare snapshots taken at different times, and integrate information from BIM models, GIS layers, and IoT sensors. The result is something closer to a living map than a static survey.
"We want to give every person involved in building and maintaining infrastructure the ability to see, understand, and act on the reality of their environment, without needing to be physically present."
Clients and Use Cases
Sensat has worked with some of the UK's largest infrastructure projects and organisations. Its client list has included names like HS2, National Highways, Balfour Beatty, and Skanska. Use cases range from monitoring earthworks progress on major rail projects to planning maintenance on energy networks. In each case, the common thread is scale: these are environments too large and complex to understand from a single vantage point, and the digital twin provides an integrated view that would otherwise be impossible.
The company has also found traction in sectors adjacent to traditional construction, including utilities, telecoms, and environmental monitoring. Anywhere there is a need to understand a physical space in high fidelity, Sensat's technology has a potential application.
The Team and Culture
Sensat's engineering team in London draws on expertise in computer graphics, distributed computing, geospatial science, and frontend development. The technical challenges are unusually varied: rendering billions of points smoothly in a browser, processing terabytes of survey data through cloud pipelines, building intuitive collaboration tools on top of complex spatial datasets. It is the kind of work that rewards deep technical skill and a willingness to solve problems that don't have off-the-shelf answers.
The company culture leans toward pragmatism and intellectual honesty. Teams are relatively small and autonomous, with engineers expected to take ownership of significant pieces of the product. There is a strong emphasis on shipping working software and learning from real user feedback rather than over-planning in isolation.
Funding and Growth
Sensat has raised significant venture capital funding across multiple rounds, with backing from investors including Notion Capital and Tencent. The investment has allowed the company to expand its platform capabilities, grow its team, and deepen relationships with enterprise clients. While the company remains headquartered in London, its client base and ambitions are increasingly international.
The infrastructure sector's growing appetite for digital transformation provides a strong tailwind. Governments and private developers alike are recognising that smarter use of spatial data is not a luxury but a necessity, particularly as climate pressures and population growth make every infrastructure pound count. Sensat is positioned at the centre of this shift, building the tools that turn raw geospatial data into actionable insight.
Looking Ahead
Sensat's roadmap includes deeper integration of machine learning to automate analysis, richer collaboration features, and expanded support for real-time data streams from IoT devices. The long-term vision is a platform that doesn't just mirror reality but anticipates it, helping teams predict problems before they materialise on site. For a company that started by flying drones over construction sites, the trajectory has been remarkable, and the most interesting chapters may still be ahead.