From AI Assistance to Medical-Grade AI

In healthcare, many AI workflows were always going to be commoditized. 

From day one at Delphyr, we’ve been clear-eyed about where this space was heading. Summarizing notes, ambient listening, searching records, retrieving guidelines: these capabilities would inevitably become table stakes once foundation models matured. That’s why seeing OpenAI and Anthropic enter the healthcare space wasn’t a surprise to us; it was an assumption we built around.

And, that’s exactly why we doubled down early on a medical-grade approach.

When AI Moves From Assistance to Clinical Influence

When AI starts to surface patient-specific data and combine it with clinical guidelines, it crosses a meaningful threshold. At that point, you’re no longer just “assisting with reasoning”,  you’re influencing clinical decisions. And anything that shapes clinical pathways carries responsibility.

Clinical Decision Support Requires Clinical Accountability

At Delphyr, we made a deliberate choice not to optimize for clinical accountability. We chose to build as a medical tool from the start, with patient safety, regulatory rigor, and real-world clinical use as first-order constraints.

That’s why I’m proud to share that we have officially submitted our full documentation for MDR (Medical Device Regulation) qualification, which we expect to receive in the first quarter of this year.

What MDR Qualification Actually Represents

As AI continues to transform healthcare, the real long-term differentiation won’t just come from generic workflows, they will come from solutions that meet the highest medical and regulatory standards. That’s the future we’ve been building toward since day one.