LiDAR-based software tracking people and vehicle movement in real time
Outsight builds software that turns 3D LiDAR data into anonymous tracking of people and vehicles for airports, stations, venues and industrial sites. The stack pairs C++ perception code and Unity/C# visualization with a Databricks, Cube.js and Kubernetes data layer, plus LangGraph and AutoGen, which points to an analytics and AI-agent layer on top of point-cloud processing. Engineering-heavy hiring is accelerating, with recurring pains around ultra-low latency and edge-to-cloud scaling.
Outsight, founded in 2019 and headquartered in Paris, develops spatial intelligence software that processes 3D LiDAR data to monitor how people and vehicles move. Its customers operate transportation hubs such as airports and train stations, along with sports venues, road infrastructure and industrial sites, using the data for operations and safety. R&D runs from Paris, San Francisco and Sophia-Antipolis, with commercial offices in the UK, Belgium, Spain, Hong Kong and Singapore. The company is privately held and has 51–200 employees.
Outsight uses C++, Python, Unity and C# for perception and visualization, AWS with EKS, Kubernetes, Docker and Terraform for infrastructure, and Databricks, Cube.js, Power BI and Tableau for data and analytics.
Yes. Engineering dominates Outsight's open roles, mostly at mid and senior levels, with smaller openings in data, ops and product. Hiring is accelerating, focused on France and China.
Outsight is working on 3D point cloud clustering, segmentation and classification, live spatial tracking UIs, streaming ELT pipelines for spatial data, and a Cube.js semantic layer.
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Outsight's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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