AI-first medical device studio · Millbrae, CA

AI-first medical device development.

bitcron is the embedded development partner that takes founders from concept to FDA clearance — with AI built into the stack, not bolted on. One team across firmware, electronics, AI/ML, and regulatory, instead of stitching together five vendors.

One team for firmware to regulatory.

Why bitcron

Five vendors, or one team that ships.

Stitching firmware, electronics, AI, and regulatory across separate vendors leaks time, context, and risk at every handoff. We collapse that into one accountable team — built for startup speed and clearance-grade rigor.

Full-stack under one roof

Firmware to electronics to AI to regulatory — one contract, one team.

No vendor-to-vendor translation layer, no finger-pointing when the model, the board, and the submission have to agree. Decisions get made once, by the people who own the whole device.

Startup speed

Move at founder pace.

Tight loops, real prototypes, and an embedded team that operates like part of yours.

Audit-ready from day one

Documentation as you build.

The Design History File grows alongside the device — not reconstructed the week before a submission.

De-risked submissions

Regulatory strategy shapes the design — not the other way around.

Pathway, predicates, and evidence are planned from the first sketch, so verification and validation confirm a case you've been building all along. Fewer surprises at the FDA, fewer expensive redesigns.

Single point of contact

Accountability that doesn't fragment.

When the same team owns silicon, software, and submission, accountability stops falling between the cracks — and you keep your time for building the company, not managing a vendor matrix.

The differentiator

AI built into the device, not bolted on.

Medical AI lives or dies on whether it can be verified, validated, and defended to a regulator. We design models and the regulatory case for them at the same time.

AI / ML engineering

Models that hold up under audit.

From signal to inference to clearance: we own the full AI lifecycle inside the device — data pipelines, model design, on-device deployment, and the verification & validation evidence that makes it defensible. Regulatory thinking is in the loop from the first dataset, so the model you ship is the model you can document.

On-device · edge ML

Inference at the edge.

Quantized, latency-bound models that run on the embedded target — private by default, no round trip to the cloud.

SaMD

Software as a Medical Device.

Standalone clinical software architected to IEC 62304, with intended-use and risk baked into the design.

Model V&V

Verification & validation.

Test protocols, datasets, and performance evidence that demonstrate the model does what it claims — repeatably.

FDA PCCP

AI/ML change-control plans.

Predetermined Change Control Plans that let models improve post-clearance — within bounds the FDA already agreed to.

Signal processing · data pipelines

Clean signal in, trustworthy inference out.

DSP front ends, sensor fusion, and reproducible data pipelines — the unglamorous foundation that decides whether a medical model is ever trustworthy in the first place. Versioned data, traceable from raw capture to the prediction it produced.

Technical domains

Hard engineering, across the device.

Deep, hands-on expertise in the disciplines that make real medical hardware work — and earn clearance.

01

Surgical robotics

Motion control, safety interlocks, real-time loops.

02

Aesthetic & RF lasers

RF-therapy and laser energy delivery with precise dosing.

03

Implantable neurostim

Ultra-low-power stimulation and long-life implant design.

04

Wireless telemetry

BLE and RF links for connected, monitored devices.

05

High-power conversion

Efficient, safe power electronics for demanding loads.

06

Precision sensing

Low-noise analog front ends for trustworthy measurement.

07

Embedded firmware

Deterministic, testable firmware to IEC 62304.

08

iOS & app integration

Companion apps and connected workflows for clinicians.

Compliance

Audit-ready from day one.

We build to the standards that submissions are graded against — and keep the evidence current as the device evolves, not reconstructed at the end.

Design History File

The submission is a byproduct of how we work.

Requirements, risk analysis, design inputs and outputs, and verification evidence accumulate in the DHF as the device takes shape — so when it's time to file, the story is already written, traceable, and consistent across hardware, software, and AI.

Standards we build to

01FDA 510(k) & PMA
Clearance & approval
02ISO 13485
Quality management
03IEC 62304
Device software lifecycle
04IEC 60601
Electrical safety
05Design History File
Traceable evidence

How it works

Three moves, AI-first throughout.

A focused engagement model that designs the device, the AI, and the compliance story together — built for speed and lower submission risk.

01

Assess

Map the concept, the gaps, and the path.

  • Technical & AI feasibility of the concept
  • Regulatory pathway and predicate strategy
  • Risk, data, and gap analysis up front
02

Design

Build device, AI, and compliance as one.

  • Hardware, firmware, and models in lockstep
  • Architecture to IEC 62304 & IEC 60601
  • DHF and risk file grow with the build
03

Validate

Verify, validate, and generate the evidence.

  • V&V to ISO/IEC, including model performance
  • Design History File documentation generated
  • Submission-ready package, de-risked
Faster to a credible prototype Lower submission risk Evidence that's always current

Let's talk

Building something ambitious? We'd love to hear about it.

Tell us where you are — a napkin sketch, a working prototype, or a stalled submission. We'll tell you, honestly, how an AI-first full-stack team could help you get to clearance faster. No pressure, just a conversation between engineers.