Can you run ML on-device?

Yes — edge ML with TensorFlow Lite and similar, where on-device inference beats round-tripping to the cloud.

How do you handle firmware updates safely?

OTA with rollback and staged rollout so an update never bricks a fleet.

Are your systems HIPAA-ready?

Yes — we architect for HIPAA with encryption, access controls, BAAs, and audit logging. We scope compliance requirements explicitly.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//Specialized Engineering × Embedded Systems & IoT × Healthcare

Embedded Systems & IoT for Healthcare

Firmware, edge ML, and cloud bridges for smart agriculture, industrial IoT, logistics trackers, and smart-home products. Engineered for healthcare teams.

Healthcare teams don't need a generic vendor — they need embedded systems & iot built around how they actually operate. Firmware, edge ML, and cloud bridges for smart agriculture, industrial IoT, logistics trackers, and smart-home products. Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows.

01What's broken without us

Connected hardware is unforgiving: constrained memory, flaky networks, battery limits, and field updates that can brick a fleet if done wrong. For healthcare teams specifically, clinical workflows are buried in paperwork and disconnected systems. Patient experience suffers, staff burn out on admin, and compliance is a constant worry.

02Our approach — the Forge Method, applied

01Blueprint how healthcare teams actually use embedded systems & iot today, and lock scope, price, and the metric before code.
02Prototype the highest-value embedded systems & iot loop against real healthcare data — not a generic demo.
03Forge a production-grade build on C, Rust, FreeRTOS, with CI/CD and observability from day one.
04Harden and hand off documented, ready for healthcare teams to extend.

//Capabilities

Firmware development (C, Rust, MicroPython)
RTOS selection & board bring-up
Sensor integration & calibration
Edge ML (TensorFlow Lite)
MQTT / CoAP communication & cloud bridge
OTA update infrastructure
Low-power design for battery devices
Industrial protocol bridging
Patient portals & telehealth apps
HIPAA-ready data systems
Voice AI for scheduling & triage
Clinical workflow automation
Wearable & biometric integration
Secure messaging & records access

//Outcomes

What you can expect

HIPAA-ready

architecture

24/7

patient access

Low-power

long battery life

OTA

safe field updates

//FAQ

Questions, answered straight

Patient portals, telehealth apps, and HIPAA-ready systems engineered for privacy, reliability, and real clinical workflows. We bring embedded systems & iot depth to those exact systems rather than retrofitting a template.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard