CONUS

Hospital-specific AI layer for clinical knowledge

CONUSOct 13, 2026

Hospital-specific AI layer for clinical knowledge

CONUS launch preview
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<500KSeedCinematicProduct launchB2BAI-generatedVertical AI

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CONUS structures fragmented medical device information for surgeons, pulling manufacturer documentation, hospital protocols, and medical research into one place so clinical teams can get reliable answers across products and procedures . The same platform is used on the other side by medical device manufacturers to equip the field reps who train and support surgeons on their implants and instruments. The launch arrives with the product live in 20+ hospitals, which is notable for a company that only recently exited stealth and is announcing itself through the YC F26 batch. The company is based in Cologne, Germany, and was founded by Maximilian Becker, Vincent Paffrath, and Alexander Schulz . Paffrath, the CEO, describes CONUS as the AI layer for surgery, connecting medical device manufacturers to clinical teams , and brings a background in generative AI research at ETH Zurich and GenAI rollouts at Bosch. His cofounders come from engineering and MedTech backgrounds, with Becker having helped scale an industrial automation startup and Schulz having built embedded systems for biomedical instruments at Miltenyi Biotec. For investors and operators watching MedTech go-to-market, the interesting bet is that device knowledge, which today lives inside rep relationships and vendor PDFs, becomes a shared infrastructure layer that both sides of the sale depend on. The stated long-term ambition is to serve as the knowledge infrastructure connecting medical device companies and clinical teams worldwide, with reliable product and clinical knowledge available in seconds across specialties , with hospital procurement of implants as a plausible next surface area.

Comments (15)

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Nadia Voss22h ago

Already told two surgeon friends about this. Any room left on the next SAFE?

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Arvind R.20h ago

Field reps carrying three binders into an OR is a real image. If you solved that you've already earned the logos.

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Chidi O.22h ago

ok wait, 20+ hospitals before launch day is kind of insane for a space this allergic to new software.

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Diego Ramirez22h ago

The tweet copy is doing a lot of work in two lines. Clean problem framing, no fluff, respect.

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priya k.21h ago

Is there an API for the structured device data, or is this closed loop inside the platform? Asking for a very curious EHR integration.

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Lennart Schwarz21h ago

Retention question: once a hospital ingests their catalog, what keeps them paying in year two? Device turnover isn't that fast.

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Maya Fuentes21h ago

Procurement is going to ask about HIPAA, SOC2, and whether the model touches PHI before anyone watches the demo. Hope that page exists.

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Kenta Yoshida21h ago

Reminds me of what Vanta did for compliance docs but for the OR. Portfolio pattern matching aside, the wedge is sharp.

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Zainab Hallaq21h ago

Who's doing data residency if a German hospital group signs on? EU surgeons will ask on call one.

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Omar S.21h ago

Building adjacent in surgical scheduling. Rooting for you, but also eyeing that device metadata layer with great interest.

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shippedit21h ago

How many engineers shipped this? The surface area (manufacturer side + hospital side) feels like a 30 person company but I bet it's five.

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Ruth Oyelaran21h ago

Have a forward-deployed MD who left a big health system last month, clinical + Python. Are you hiring?

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Han L.21h ago

hot take: the real moat isn't the AI, it's being the one platform the manufacturer reps actually open on their iPad in the hallway.

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Karolina Wiśniewska21h ago

The landing video pacing is way too calm for a YC launch day. I mean that as a compliment, finally something not scored like a Marvel trailer.

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Finn O'Grady20h ago

Thumbnail doesn't scream healthtech which is probably why I actually clicked. Good instinct.