IoT Labs builds connected devices end to end — edge AI, embedded firmware, sensor networks and secure fleet management — so hardware senses, decides and acts without waiting on the cloud.
Most connected products stream data nobody acts on, depend on the cloud to do anything, and can never be updated once they ship. We close that gap.
Sending every reading to the cloud adds latency, cost and a hard dependency on connectivity.
Dashboards full of telemetry but nothing that actually acts on what the sensors are saying.
Devices shipped and forgotten — no secure way to patch firmware or push new models.
From the silicon to the dashboard — one team across firmware, connectivity, cloud and apps.
On-device inference so devices sense, decide and act without waiting on the cloud.
Low-power firmware for microcontrollers and SoCs, built for reliability in the field.
Telemetry pipelines from sensor to dashboard — buffered, compressed and resilient.
BLE, Wi-Fi, LoRa, cellular and MQTT — the right link for range, power and cost.
Provisioning, monitoring and secure over-the-air updates across the whole fleet.
Natural voice and ambient UX on-device — the same work behind our Sofi assistant.
The full stack: device firmware and edge AI, the connectivity layer, the cloud backend that ingests telemetry, and the apps and dashboards your team uses to monitor and control the fleet.
Edge inference cuts latency, lowers bandwidth and cost, keeps working when connectivity drops, and keeps sensitive data on the device — exactly the constraints real deployments hit.
Yes. We build secure over-the-air (OTA) updates for both firmware and models, with staged rollouts and rollback, so a shipped fleet keeps improving without a site visit.
IoT sits next to our AI Labs and Miltech work — edge AI, embedded radio and voice interfaces overlap heavily. The same engineers move across all three.
From prototype to production fleet — we'll build the hardware-software stack around it.
