
SE3 Labs
Enables the creation of 3D digital twins from images and geo-spatial data for use in robotics, smart cities, disaster relief, and defense.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor | €0.0 | round | |
| N/A | €0.0 | round | |
N/A | Seed | ||
| Total Funding | 000k | ||
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SE3 Labs, established in 2023, is a spatial AI company operating from Garching, Germany. The firm was founded by Lukas Köstler, Simon Klenk, and Prof. Daniel Cremers, all experts from the Computer Vision Group at the Technical University of Munich. The founding team possesses a deep-rooted background in AI and 3D computer vision, with members having prior experience at prominent companies such as Tesla, Nvidia, Bosch, and BMW Autonomous Driving. Prof. Cremers is a globally recognized scientist in the field and a multi-time founder, adding a layer of seasoned entrepreneurship to the venture.
The company develops an artificial intelligence platform that processes and analyzes three-dimensional spatial data by merging 3D computer vision with large language models (LLMs). This technology is delivered through a "3D Vision as a Service" SaaS platform, designed to convert unstructured visual and spatial data into actionable, queryable insights. The platform, known as SpatialGPT, allows users to interact with complex 3D data using natural language, simplifying workflows for both experts and non-experts. Key features include real-time object detection, semantic analysis, and the ability to function in environments where GPS is unavailable.
SE3 Labs serves a diverse client base across sectors that include defense, smart infrastructure, construction, and robotics. For instance, the company works with cities and construction firms to analyze visual data from sites, detecting road damage or assessing urban assets. It is also a dual-use technology provider, catering to both civilian customers and the German armed forces, with a focus on strengthening European sovereignty through its technology. The business model appears to be subscription-based, providing access to its SaaS platform, and it also engages in partnerships to implement its technology for specific use cases. Having secured mid-six-digit revenue in its first year, the company is backed by venture capital from investors including Lakestar, Seedcamp, and Plug and Play.
Keywords: Spatial AI, 3D computer vision, large language models, 3D data analysis, SaaS platform, digital twins, real-time object detection, semantic analysis, GNSS-denied navigation, dual-use technology, smart infrastructure, defense technology, robotics vision, urban data analytics, geospatial intelligence, unstructured data analysis, computer vision as a service, terrain analysis, situational awareness, autonomous systems