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Explore our R&D model
Applied R&D, not experimentation
We work on problems that must operate in production: autonomy, perception, real-time AI, and robotics systems deployed in constrained, safety-critical environments.
Robotics, CV, and AI — deeply integrated
Our teams combine robotics software, computer vision, and applied machine learning into coherent systems — not isolated models or prototypes.
Hybrid model: Services + Venture Lab
Client work funds internal research. Internal research produces IP. The strongest IP becomes spin-off companies or licensable technology.
IP-first mindset
We design systems with ownership, defensibility, and long-term value in mind — from architecture decisions to data strategies.
Built for real-world constraints
Our company design and validate systems under the constraints that actually matter: latency, power, hardware limits, safety, regulatory pressure, and imperfect data.
Access to hard problems, not hypothetical ideas
Our service work places us inside real enterprise environments, giving us continuous exposure to high-value problems that rarely surface in open research.