Intelligent medical technology takes devices, software, data and tools working together. We turn clinical insight into systems that sense, interpret, recommend and carry out useful work.
Most companies build one piece. Proton builds the device, the software, the platform and the intelligence together.
Six connected ways to turn a clinical idea into a working physical and digital system.
Build physical products that turn real-world signals into useful intelligence.
A wearable product combines sensing hardware, embedded signal interpretation and software that builds useful patient trends.
Engineer imaging and visual systems that help people interpret what they see.
An ENT instrument brings image capture, quality guidance and structured visual review into one examination workflow.
Develop systems that use patient and device data to support individualized recommendations.
A sensor-guided rehabilitation system prepares patient-specific exercise feedback for clinician review. Device-setting optimization can begin as a simulation-led research program.
Unite devices, records, images, and patient history in software that builds context over time.
A connected-care application combines device signals, images, visit history and patient reports into a longitudinal review workspace.
Build intelligent software that reasons over information and uses tools to move work forward.
A clinical agent retrieves authorized context, uses approved tools and prepares a structured result or next task for review.
Create virtual environments for developing, testing, and refining intelligent products.
A hardware-connected test setup combines simulated use, machine-vision inspection and model evaluation before the next physical iteration.
From connected wearables and musculoskeletal systems to endoscopy, cardiac care and beyond. Choose a field to explore what we can build together.
Build a connected product around motion, temperature and other available sensor streams. Combine embedded processing with longitudinal patient context and a useful review experience for the care team.
Available sensor streams, reported symptoms and patient history.
Patient-specific trends, review summaries and monitoring workflows.
Embedded AI, custom model training, firmware, software and companion apps, from the same team that builds the hardware.
Models that run on the device itself, on low-power processors, for sensing, detection and closed-loop response.
Models trained and validated on your device's own data: bench tests, pre-clinical studies and signal recordings.
Firmware for pulse generators, sensors and powered implants, written alongside the boards it runs on.
Software for device programming, data capture, test automation and analysis.
Companion apps for clinicians and patients, connected to your device and its data.
Our engineers and proprietary equipment work alongside AI tools, so every build cycle moves faster.
The same hands-on engineering approach, with hardware, software and AI moving through the program together.
Define intended use, users, device constraints and available data. Decide where intelligence would make a useful difference and what the system must demonstrate.
Lead, catheter and electronics development. In-house prototyping. Bench and pre-clinical testing. Pilot manufacturing. The physical engineering stays at the center of the intelligent product.
That's often the goal: small models sized for low-power hardware, so the device can respond without a connection. When a task needs more computing, the work can be split between the device and a companion app.
Yes. We train and validate custom models on your device's own data, from bench tests, pre-clinical studies and signal recordings. Your data stays yours.
Yes. Hardware, firmware, software and companion apps are built by one team, alongside the leads, catheters and electronics we prototype here.
Yes. We can start from your existing design, find where AI helps, and build the model, firmware and software around it.
Bring your clinical problem, device idea or workflow. Let's shape the complete system around it.
Start an intelligent project
