Strength in Leadership
Andrzej Swaton
Head of Engineering
For decades, vehicles and robots were mechanical products. Today, they are built around chips, software and models.
Microcontrollers, SoCs, and AI accelerators define what machines can do.
Performance, safety, autonomy and user experience depend on how well the layers are integrated into stable, production systems.
Winning today means integration.
Most companies building physical AI can buy chips and train models. Few can bring the two together at scale..
- Bringing up new MCUs.
- Stabilizing RTOS and middleware.
- Running perception and control models inside real compute, power and latency budgets.
- Tuning performance under real load.
- Meeting safety requirements.
- Optimising AI model deployment for constraint-based use cases
- Shipping production-ready systems across global teams.
This work cannot be fragmented across generic vendors. It requires tools & engineers who understand the full stack: From silicon constraints to model behavior in the real world.
The demand is global.
The expertise is concentrated.
We provide integration & model eval services to global OEMs.
Our platform operates as frontend to scope your integration, evaluate frontier AI models, and build. The backend is powered by 100,000+ experts supporting complex, safety-critical system integrations & evals across vehicle autonomy, robotics, and physical AI.
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