Enable smarter, safer, and more efficient electrification through real-time embedded intelligence.
We develop physics-informed, real-time models that bring deep system awareness inside embedded controllers. By transforming complex engineering models into lightweight runtime intelligence, we enable systems to understand their internal conditions, anticipate thermal and performance limits, and take more informed control decisions.
Our mission is to help electrified systems operate closer to their true capabilities while maintaining safety, reliability, and efficiency across real-world operating conditions.

Make embedded intelligence the foundation of every physical system.
We envision a future where physical systems are no longer operated based only on external measurements and conservative assumptions. Instead, they continuously understand their internal state through embedded intelligence derived from physics-based models and real-time data.
In this world, machines become inherently aware of their own limits and conditions, enabling safer operation, higher efficiency, and more adaptive control across increasingly complex electrified systems.

-Intelligence at the core
We develop embedded intelligence that gives systems real-time awareness of their internal physical state, enabling more informed control decisions.

-Performance through insight
By understanding internal system behavior, we help electrified systems operate closer to their true capabilities without unnecessary conservatism.

-Reliability through awareness
Failures often originate where measurements are not available. We enable visibility into critical internal conditions to support safer, more reliable operations.

-Software-defined performance
We enhance system behavior through embedded intelligence, unlocking new capabilities without requiring additional hardware.

-Scientific integrity
Our technology is grounded in physics-based modeling, experimental validation, and measurable results.

-Sustainable efficiency
By improving how systems use their existing resources, we help reduce material overuse, energy losses, and premature component degradation.