Deterministic Shift-Left Digital Twins.
We build cyber-physical simulation platforms that create exact replicas of edge computing environments, empowering engineering teams to design, test, and optimize hardware and software seamlessly.
A Flawless Hardware-Software Matrix
Our architecture tightly couples instruction-accurate instruction-set emulators (QEMU) with external physical plant models written in Python or Rust. This enables an exact replica of edge environments with precise Memory Mapped IO (MMIO) and flawless timing synchronization via the vfio-user protocol over UNIX sockets.
Instruction-Accurate Emulation
Firmware execution perfectly synced with physical models. Conduct rigorous Design Space Exploration (DSE)—like evaluating a Cortex-M0 vs an M4F.
Flawless Synchronization
Achieve perfect timing and precise MMIO between your firmware and virtual physical plant using the vfio-user protocol.
Optimize Before Manufacturing
Optimize compute power, bill of materials (BOM) costs, and physical AI integration long before committing to costly physical manufacturing.
Expertise in Cyber-Physical Systems.
We partner with forward-thinking engineering teams to design, architect, and deploy robust embedded systems leveraging state-of-the-art digital twin technology.
Cyber-Physical System Design
End-to-end architecture and design for complex embedded systems. We bridge the gap between deterministic real-time computing and physical world constraints.
Hardware-in-the-Loop Simulation
Custom simulation environments tightly integrating your physical components with high-fidelity virtual counterparts for exhaustive, automated testing.
Powered by Firmware Studio.
Our proprietary CI/CD platform for deterministic, Shift-Left verification. Simulate, test, and deploy firmware updates across heterogeneous fleets with mathematical certainty.
- Deterministic automated testing pipelines.
- Real-time collaboration across hardware and software teams.
- Drop-in integration with QEMU and Python/Rust plant models.
Leadership
Dr. Marcin Szczodrak
Founder & Chief Architect
A veteran systems architect bridging the gap between cutting-edge AI and industrial hardware.
- Tesla: Built control systems for Megapack and Powerwall, accelerating the grid's transition to sustainable energy.
- Google X (Intrinsic) & Brain: Pioneered Industry 4.0 robotics and reinforcement learning for physical control.
- Nest: Shipped critical firmware for the Nest Thermostat (3rd Gen & E).
- Figure AI: Architected the initial software infrastructure and Humanoid Management Systems from scratch.
Holds a PhD in Computer Science from Columbia University.
Ready to Shift-Left?
Whether you are looking to adopt Firmware Studio or need expert consulting for your next cyber-physical system, we are here to accelerate your development.