Embedded AI & Engineering
We design, build and ship systems that run machine learning on real hardware, from a microcontroller in the field to a training cluster.
Talk to usWhat we do
Edge Machine Learning
ML models that run where the data is created, on microcontrollers, sensors and gateways. Quantization, TinyML, on-device inference and the tooling around it.
IoT Development
Connected products end to end: firmware, sensing, connectivity, cloud integration and fleet management.
Feasibility Studies
Before you invest: can it be built, what will it cost, what are the risks? Rapid prototyping and honest engineering assessments that de-risk your decision.
Engineering depth that carries into advisory
Because we build AI systems from the ground up, we can realistically assess compute demand, GPU depreciation cycles, workload profiles and technology risk, the assumptions a data-center financial model stands or falls on. Most M&A advisors cannot check them.
