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Industry

Medical device AI,
a person signs.

Drafted by a model, signed by a person.

Last reviewed 30 October 2026 · Engineering guidance, not legal or regulatory advice.
Pixel illustration for Medical Devices: a clinical document beside a source lens and a human verification card.
In context

AI for medical device companies means using models to draft and cross-check regulatory documentation, such as MDR technical files, post-market surveillance reports and risk and usability files, from the records already in the quality system. It is a documentation tool, not a medical device, and a qualified person signs every document.

Where it breaks today

01

The technical file never stands still

Under MDR 2017/745 the technical documentation is a living set: design changes, new clinical data, updated standards and PMS findings all ripple through the GSPR checklist, the risk file and the labelling. Keeping every cross-reference consistent is most of the regulatory team’s year.
02

Complaints arrive as prose

Complaints, service reports and literature arrive as free text in many languages. Trending them for PMS and spotting what might be a reportable serious incident depends on people reading every one, under a vigilance clock.
03

Risk and usability drift apart

The ISO 14971 risk file and the IEC 62366-1 usability engineering file describe the same hazards in different documents. When one is updated and the other is not, a notified body finds it before you do.
OUR APPROACH

AI in medical devices, on the documentation side

Most writing about AI in medical devices is about AI inside the device: imaging algorithms, cardiac monitoring, the FDA list of AI-enabled devices. That is regulated product development with its own pathway. We work on the other side: the documentation and quality work that every device manufacturer carries, AI-enabled or not.

The rule we design to is simple. The model drafts, extracts, cross-references and flags; it never approves. The technical documentation, PMS reports, PSURs, risk management file and usability engineering file are signed by the qualified people your quality system names, and the person responsible for regulatory compliance under MDR Article 15 stays responsible. Every draft carries citations to the controlled records it came from, so a reviewer checks evidence rather than prose.

A tool used inside your quality system is itself in scope: ISO 13485 clause 4.1.6 requires software used in the QMS to be validated for its intended use. We supply the validation evidence, including intended use, test sets and results; approving the validation is your QMS’s call. If any system we build moved toward clinical decision support, it could become a device in its own right, and that determination is for your regulatory function.

HOW IT DEPLOYS
PHASE 01

Map the controlled records

We trace where design history, risk, usability, complaints and clinical data live: eQMS, PLM, spreadsheets, document control.
PHASE 02

Validate for intended use

Intended use is written first, then tested on documents your team has already approved, and the evidence is packaged for your QMS.
PHASE 03

Draft, cite, sign

Drafts and cross-checks arrive with citations; a qualified person reviews, edits and signs inside your document control.

What we build

01

MDR technical documentation

Annex II and III documentation drafted and cross-checked: GSPR evidence mapping, consistency between labelling, risk file and design records, and completeness checks before submission.

SEE MDR TECHNICAL FILES →
02

Post-market surveillance

Complaint intake, coding and trending, literature screening and draft PMS reports and PSURs, with possible serious incidents routed to a person immediately.

SEE POST-MARKET SURVEILLANCE →
03

Risk and usability files

ISO 14971 and IEC 62366-1 records kept in step: hazards, use errors, risk controls and verification traced across both files.

SEE USABILITY & RISK →
04

Inside your perimeter

Design history and complaint data contain patient information and trade secrets, so models run on infrastructure you control, with access scoped by role and every read logged.

SEE SECURE PIPELINES →

Controls we implement

CITATION ON EVERY DRAFTED STATEMENT SIGNATURE BY A QUALIFIED PERSON VALIDATION EVIDENCE FOR YOUR QMS NO TRAINING ON YOUR DATA VERSIONED, AUDIT-LOGGED DRAFTS PATIENT DATA INSIDE YOUR PERIMETER

These are engineering controls we build into the architecture, not certifications. QQuantum.ai holds no ISO 13485 or other certification, and conformity assessment, notified body review and QMS validation remain yours — see our trust centre.

Medical device use cases

  • MED.01

    MDR Technical Files

    MDR Annex II and III technical documentation drafted and cross-checked: GSPR evidence mapped, IFU, risk and clinical files compared. Conflicts are raised; the RA team signs.

    Open page
  • MED.02

    Post-Market Surveillance

    Complaint coding, trending and draft PMS reports and PSURs under MDR, with an incident screen that runs first and sends any possible serious incident to a person at once.

    Open page
  • MED.03

    Usability & Risk Documentation

    The IEC 62366-1 usability engineering file and ISO 14971 risk file kept traceable: proposed links, gaps and study synthesis. Risk estimation and acceptability stay with engineers.

    Open page
Questions

Questions about Medical Devices.

How is AI used by medical device companies?

In two different ways. Some companies build AI into the device itself, such as imaging or monitoring software, which is regulated as part of the product. Many more use AI for the work around the product: drafting technical documentation, trending complaints, screening literature and keeping risk and usability files consistent. We build the second kind, where a qualified person still signs every regulatory document.

Can AI write an MDR technical file?

It can draft much of it from records you already hold, and check it for consistency and completeness against Annexes II and III. It cannot take responsibility for it. The technical documentation is the manufacturer’s, reviewed by its regulatory team and assessed by a notified body. We build drafting with a citation on every statement, so reviewers verify evidence instead of rewriting prose.

Does an AI documentation tool need validating under ISO 13485?

Usually yes. ISO 13485 clause 4.1.6 requires software used in the quality management system to be validated for its intended use, proportionate to risk. We write the intended use, test the tool on documents your team has already approved, and hand over the validation evidence. Approving that validation, and deciding the level of rigour, is for your quality function.

How does the EU AI Act interact with MDR?

AI that is itself a medical device, or a safety component of one, requiring notified body assessment under MDR is classed as high-risk under the AI Act, adding obligations on data, logging, transparency and human oversight. A documentation tool used by your regulatory team is generally not in that category. Whether a particular system is, is a determination for your regulatory function.

What does MDR mean in this context?

In the EU, MDR is the Medical Device Regulation, (EU) 2017/745, which sets the requirements for placing devices on the market. In the US the same letters mean Medical Device Reporting under 21 CFR 803, the FDA’s adverse event reporting rules. Post-market systems serving both markets have to keep the two straight, and ours label each requirement by regime.

Shipped & in build

Real work. Check it yourself.

What we built, what stage it is at, and a link to the live thing wherever there is one.

The updated yourOS homepage: Roxy’s open ring surrounded by bento cards for calls, voice, translation, building, design, apps and more.
The yourOS homepage on a phone, with its compact navigation, welcome film button and bento cards.
youros.tech — the homepage bento hero
Our own · coming soon

yourOS

yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.

What we built
  • Operating system
  • Roxy
  • Agent crew
  • Voice calls
  • App store
  • Website
Meet yourOS →
The Sonora homepage on desktop: a full-bleed dune landscape behind the headline “Transform Your Life with Sound”, with App Store and Google Play download buttons.
The Sonora homepage on a mobile viewport, showing the same hero reflowed to a single column.
sonora.com — homepage, 1440×900
Live · iOS · Android

Sonora

Website, backend and app assets for Sonora, a free AI sound-therapy app on iOS and Android published by Cognitive AI.

What we built
  • Website
  • Backend
  • App assets
Read the case study →
The updated Podswap homepage on desktop: “Grow on Instagram and TikTok for free, with real engagement from creators your size”, beside a tilted wall of exchange, tool and guide cards on a violet gradient.
The updated Podswap homepage on a phone, with its floating navigation, Instagram and TikTok engagement headline and tilted tool cards.
podswap.app — homepage, 1440×900
Five platforms

Podswap

Brand, website, prototype, apps on five platforms, the AI backend and the algorithm-intelligence pipeline for Podswap, a social growth engine that runs without a human in the loop.

What we built
  • Brand
  • Website
  • Prototype
  • Apps on five platforms
  • AI backend
  • Algorithm pipeline
Read the case study →
The unOpen.AI homepage introducing Roxy, a private AI assistant that remembers who you are.
The unOpen.AI homepage on a mobile viewport.
unopen.ai — homepage, 1440×900
Prototype · closed beta

unOpen.AI

In closed beta: Roxy, a private AI assistant with permanent memory running on infrastructure the user owns. Brand, site, product, backend and conversational design.

What we built
  • Brand
  • Site
  • Product
  • Backend
  • Conversational design
Read the case study →
coherence.com on desktop, headed "Intelligence that moves in phase with people".
coherence.com on a mobile viewport, reflowed to a single column.
coherence.com — homepage, 1440×900
Live

Coherence

Live at coherence.com: brand identity generated with AI agents we directed, the motion system and website for the group behind Sonora, AboutAI, WakeUp and MudShadows. Agent work remains in build.

What we built
  • Brand identity
  • Motion system
  • Live website
  • Agent work — in build
Read the case study →
The new Domain Booth homepage on desktop: the headline “Premium Domains. Serious Buyers. Proven Results.” beside the animated DB monogram.
The new Domain Booth homepage on a phone, reflowed to a single column.
Our build of the Domain Booth homepage — 1440×900
Live

Domain Booth

Live at domainbooth.com for DomainBooth, a premium domain brokerage: a new animated mark, every page redesigned and rebuilt with designed mobile layouts, and a custom CMS for its sales record, featured names, press and enquiries.

What we built
  • Animated mark
  • Every page redesigned
  • Designed mobile layouts
  • Custom CMS
Read the case study →
Who we have built for

Twenty-one years. Names you know.

See all of our work →
  • BBC Good Food logo
  • Charities Aid Foundation logo
  • GAME logo
  • NatWest logo
  • Next logo
  • NSPCC logo
  • Tesco logo
  • Worldpay logo
  • Samsung logo
  • Sony logo
  • Land Rover logo
  • UAP Limited logo
  • Netflix logo
  • Amazon Prime Video logo
  • Mercedes-Benz dealerships logo
  • San Miguel logo
  • Biovene Barcelona logo
  • Seventy7 logo
  • Littlewoods logo
  • Smile logo
  • The Co-operative Bank logo
Let’s talk

Draft faster,
sign the same.

Start with one device family: we map the controlled records and show where drafting and cross-checking can move.

30-minute technical call · no deck