Sensat builds a visualization platform that collects and delivers infrastructure data, translating physical sites into digital twins to help owners and construction partners plan, coordinate, and track project performance. The software surfaces hidden risks and helps teams deliver large infrastructure programs on time and within budget. Customers named in the article include AECOM, Connect Plus, Heathrow, Kier, Morgan Sindall, Network Rail, and WSP. The company plans to use new funding to accelerate international expansion and product development, underpinning infrastructure automation. Sensat was founded by James Dean and Harry Atkinson; CEO James Dean said the firm will serve utility customers in the UK, the US, and beyond. The company reportedly aims to become Europe’s first-ever trillion-dollar company. SenSat builds AI-driven "digital twins" that create accurate, up-to-date, machine-readable representations of real-world locations. Its Mapp platform enables infrastructure companies to interact with worksites digitally and apply digital automation to improve decision-making. Mapp is used by more than 30 international infrastructure companies. In a project with Murphy Group for the U.K. National Grid and the Triton Knoll offshore wind farm, SenSat digitized a 52 km underground transmission line and says this reduced time on site by 200%. The company says its technology improves safety, cost-efficiency, waste generation, project collaboration and reduces carbon generated in projects. CEO James Dean describes the goal as building an "intelligent ecosystem" — the third platform — to translate the real world into a form understandable to AI, with plans to broaden application across offline industries. Financially, SenSat has just completed a $10 million Series A led by Tencent. SenSat builds high-resolution digital replicas of real-world locations by photographing environments (using autonomous drones) and infusing real-time spatial datasets from open and proprietary sources. Its platform delivers "simulated realities" that enable large-scale machine learning and data analysis to solve complex physical-domain problems. The company initially targets infrastructure construction to automate manual design tasks, reduce design-phase time and cost, and produce validated best-option designs that can save millions. Beyond construction, SenSat is researching applications for autonomous-vehicle simulation to train and test agents in realistic real-world conditions. Founded in 2017 and based in the U.K., the startup says its simulations include fine details such as street furniture, lane markings and signage to support reinforcement-learning and safety use cases. It will use newly raised capital to further develop its technology and expand its San Francisco office.

Total raised

$33M

Funding rounds

3

Latest round

Series B

Latest activity

Oct 2022