3D LiDAR software for real-time motion tracking at transportation and venue hubs
Outsight processes 3D LiDAR data to track people and vehicle movement at scale—airports, train stations, sports venues, and industrial sites. The tech stack (Python, C++, Unity, Kubernetes, AWS) and active projects (passenger flow monitoring, car traffic remote monitoring, crowd simulation) reveal a company balancing real-time perception pipelines with frontend scaling and edge-to-cloud distribution. Hiring velocity is accelerating across engineering and security, with pain points centered on managing distributed infrastructure and protecting both customer data and operational systems.
Outsight builds software that converts 3D LiDAR sensor streams into actionable spatial intelligence for venue and transportation operators. The platform anonymously tracks people and vehicle motion to improve safety, operations, and user experience. Founded in 2019, the company operates R&D centers in Paris, San Francisco, and Sophia-Antipolis, with commercial offices spanning the UK, Belgium, Spain, Hong Kong, and Singapore. The 51–200-person team spans 51–200 employees across engineering, product, security, and data functions, with hiring active in China, the United States, France, and Singapore.
Core: Python, C++, C#, Unity. Infrastructure: AWS (EKS, Cognito), Kubernetes, Terraform, Ansible, ArgoCD. Frontend: Vue, Tailwind CSS, Material-UI. Analytics: Power BI, Tableau, Looker, GoodData. Security: SIEM, EDR, DLP, IAM, SOAR.
Passenger and car traffic monitoring, frontend architecture scaling, crowd simulation, shift simulator, automated performance evaluation, IAM and flight schedule integration, backward tracking, and data replay mechanisms.
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