As the only purpose-built AI platform to span the entire clinical workflow, Suki frees clinicians from heavy administrative burdens and brings them back to the reason they chose medicine in the first place: caring for patients.

Shape AI-augmented practice - collaborate with product teams to integrate AI effectively into clinical workflows Inform care navigation development within Alan - bring clinical expertise to guide patients toward optimal prevention and care pathways across Alan Clinic and external providers

clinic, but you know, to have it ready for me, even before I walk in the room to be cued on what questions I should potentially ask things I should keep in mind based on phone calls to the clinic recently from that patient, to be able to walk in that room, feeling like a superhero, like I have all the context. I can hit the ground running and build rapport that much more quickly as well, help the patient feel like they're known. Um, and then afterwards to be able to, you know, have all these artifacts to be able to swivel my chair and see not just my note there, but everything else that's, that's really important. Um, it's, it's unburdening and, and we get to continue to sort of extend from there. So for us, the thesis has always been that wedge of the conversation and then extending from there. And it's, it's been interesting to see the different sort of market or industry labels evolve over time. Initially it was AI scribe. And I think that makes sense because the initial product that really took off was documentation. And then it sort of became a category of ambient. Well, I think that sort of reflected a recognition that there was a lot more that you could do in the background with this signal. But now I think there's a recognition that it's just sort of care delivery AI. It's just sort of this AI layer in, in healthcare, because these notes are informed by so many inputs. It's not just what happens in the conversation, but they should be informed by what's in the medical record. They should also be informed by information that might live in payer systems, like prior authorization guidelines. They should also be informed by guidelines from, you know, bodies that regulate what, what compliant documentation looks like for revenue cycle for risk adjustment. They should include MDM criteria and they should include meat criteria for every single problem. But then there's this other opportunity to actually cue the clinician to not sort of have any flashing lights or beeping sounds, but to help them understand we know when they want what questions they should ask. Maybe they should consider a broader differential getting into that space of clinical decision support is something that we're spending a lot of time on right now. And so it just sort of I think like all of these