Develop the voice, sensing, connectivity, firmware and embedded electronics behind healthcare robots and patient-facing physical AI systems — from prototype integration through production.
A healthcare robot may need to communicate with patients, capture clinician speech, connect to hospital systems, operate on variable networks and remain understandable to users who are not robotics engineers.
GMIC brings existing experience in healthcare voice hardware, audio DSP, firmware and AI integration into the embedded hardware layer around those robotics workflows.
Microphones, speakers, arrays and DSP for patient/clinician conversation, voice commands and two-way interaction.
Integrate camera, IMU, proximity, environmental and other sensing inputs required by the healthcare robotics application.
Support local processing, low-latency functions and offline-resilient device behavior with MCU, SoC or edge compute.
Architect Wi-Fi, BLE, Ethernet, USB or cellular connections between the robot, cloud, apps and facility systems.
Implement capture, state, authentication, buffering, recovery, OTA and device-side workflows around the application.
Move from development kits and modules to production-intent PCB/PCBA designed around power, interfaces, enclosure constraints and manufacturing.
Voice, sensing and connected hardware for robots assisting staff with information, documentation or interaction workflows.
Embedded electronics and connectivity around robots supporting facility logistics, delivery or non-clinical service tasks.
Audio, display, sensing and device interfaces for patient-facing communication and assistance.
Cameras, microphones, speakers, network interfaces and firmware for remote-presence and connected-care devices.
Voice, sensing and connectivity hardware for assisted-living, senior-care or provider-operated robotics systems.
Healthcare environments introduce distance, overlapping speakers, room reflections, alarms, carts, ventilation and the robot's own speaker output. Audio capture should be designed as a complete microphone–enclosure–DSP system around the real environment.
Not every DSP function is required in every product; the chain should be selected and tuned against the actual form factor and environment.
The hardware should fit the system the customer already owns. GMIC can support firmware, SDK/API and connectivity integration so device data moves into the customer's cloud, AI pipeline, private server or application architecture.
GMIC does not provide EHR software or clinical AI.
GMIC can support DFM, BOM management, sourcing, PCB/PCBA, assembly planning, production testing and QC for the agreed hardware scope, with certification planning based on product and market requirements.
A healthcare robot used for facility service is not automatically regulated the same way as a medical device. Intended use, claims, connectivity and system function determine the applicable requirements.
If the product is a medical device or contains regulated device functions, regulatory and cybersecurity requirements should be defined early with the appropriate specialists.
For U.S.-market products using radio-frequency functions such as Wi-Fi or Bluetooth, certification planning should be defined against the applicable FCC equipment-authorization requirements for the final product architecture.
FCC equipment authorization requirementsExisting experience in healthcare voice capture, DSP, noise reduction and clinical audio integration.
Integrate hardware around your speech, AI, and clinical workflow systems.
Add embedded, audio, firmware, and production capabilities without building every function internally.
Support the path from prototype through EVT, DVT, PVT, pilot, and manufacturing.
Move from off-the-shelf components to integrated production electronics.
Reduce handoffs between hardware engineering, sourcing, validation, and production.
GMIC focuses on the embedded hardware layer, including voice/audio, sensing interfaces, edge compute, connectivity, firmware, custom electronics and production support for clinical assistant, hospital service, patient-interaction and remote-care systems.
Yes. The integration scope can include device firmware, authentication, data transport, APIs and SDK coordination so the robot hardware works with the customer's existing backend or AI pipeline.
No. Classification depends on intended use, claims and function. A hospital logistics robot and a regulated medical device can face very different requirements. Regulatory scope should be established early for the specific product and market.
Provider-, facility- and clinically oriented elder-care robotics belongs here. Consumer and family-oriented in-home companion products belong under AI Companion & Home Robotics.
Tell us how the robot interacts with patients or clinicians, what software stack already exists and what hardware needs to be productized. We can help define the embedded hardware path from prototype through production.
Discuss Your Healthcare Robotics Project