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
- 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 both tooling & integration services to global OEMs & technology partners
Our platform operates as frontend to develop & test your architecture, and then build the integration by accessing 100,000+ experts supporting complex, safety-critical system integration across vehicle autonomy, robotics, and physical AI.
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