Edge AI systems that ship on real hardware
We design and deliver embedded intelligence for devices that live in the field. Practical architectures, tuned models and production-ready firmware that respect power, memory and lifetime constraints.
What we call AI-Embedded
Intelligence that lives where data is born. Architectures and firmware tuned to constrained devices that need to run for years.
MCU, sensor and connectivity choices mapped to power, thermal and cost envelopes. We build reference stacks you can scale.
Signal chains, feature extraction and embedded ML deployment. We profile models on target silicon and streamline your toolchain.
Hardware bring-up, PoCs and field trials. Reference implementations with OTA and observability baked in.
How we work
A focused delivery model to get usable firmware on your boards fast.
Define targets, constraints and measurement plan. Select MCU, sensors and toolchain.
Collect data, craft signal processing, train and quantise models. Profile on device.
Integrate drivers, inference and telemetry. Deliver OTA-ready PoC for your field tests.
Where we apply AI-Embedded
Industrial, energy and building systems with measurable ROI.
Motor and drivetrain monitoring with vibration, current and acoustic sensing.
Demand-controlled ventilation and indoor quality insights for comfort and energy reduction.
Edge intelligence for batteries, inverters and microgrids – forecasting and anomaly detection.
Designing an AI-Embedded product?
Let’s align on constraints, architecture and a first firmware drop.