Clinical expertise for
healthcare AI teams
Most healthcare AI companies have a few doctors reviewing their product. That's a good start, but it's hard to turn into a systematic process. A few reviewers can catch a lot, but coverage gaps are inevitable when you're relying on a small team, and it's hard to get a complete picture of which clinical scenarios your model handles well and where the risks are. We bring a structured evaluation methodology, delivered by specialist physicians, that maps exactly where your model works and where it falls short. So you get findings your engineering team can act on.
How Automate Clinic works
Map your surface area
Every engagement starts with understanding what your model is supposed to do clinically, and building a structured picture of all the ways it can fail. Most companies have never done this. Their doctors review outputs and say "looks good" or "that's wrong." We build the evaluation framework that turns ad hoc review into a systematic process.
Find your blind spots
We recruit physicians from our network matched to the specialties and clinical scenarios your product actually covers. They work from structured rubrics designed to surface the specific failure modes that informal review misses, especially errors of omission, where your model fails to mention something dangerous.
Deliver & iterate
You don't get a pile of doctor opinions. You get a failure taxonomy that categorizes and prioritizes your model's clinical weaknesses, a coverage map showing which domains have been tested and which haven't, and a concrete improvement plan your engineering team can execute against. We manage the entire process: physician onboarding, calibration, quality control, delivery.
Why Automate Clinic
We built Automate Clinic because we've been the clinical team at AI companies. We know where the process hits its limits because we've been the ones running into them. We're currently working with healthcare AI companies across clinical decision support, diagnostics, and medical documentation.
We've built doctor networks before
Our leadership team has built and scaled physician networks at multiple companies, from zero to nationwide coverage. Recruiting doctors is one thing. Keeping them engaged and managing clinical quality at scale is another. We've done both.
We're physicians who speak engineering
We've served as the clinical leadership inside AI companies, working directly with engineering teams on model development. We understand what your engineers need from clinical feedback because we've been in the room trying to give it to them.
We manage everything
Recruiting physicians is hard. But it's the easy part compared to onboarding, calibration, quality control, and translating clinical findings into something your engineers can act on. We don't just connect you with physicians. We deliver clinical intelligence with the operational infrastructure underneath it.
We adapt to how you work
The methods for integrating clinical expertise into AI development keep changing. We don't lock you into one framework. Whether your team needs structured evaluations, training data, safety testing, or something we haven't seen yet, we design the physician workflow around what your engineering team actually needs right now.
Find out where your model stands.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.
Stay focused on building. We'll bring the clinical expertise.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.
Clinical expertise for
healthcare AI teams
Most healthcare AI companies have a few doctors reviewing their product. That's a good start, but it's hard to turn into a systematic process. A few reviewers can catch a lot, but coverage gaps are inevitable when you're relying on a small team, and it's hard to get a complete picture of which clinical scenarios your model handles well and where the risks are. We bring a structured evaluation methodology, delivered by specialist physicians, that maps exactly where your model works and where it falls short. So you get findings your engineering team can act on.
How Automate Clinic works
Map your surface area
Every engagement starts with understanding what your model is supposed to do clinically, and building a structured picture of all the ways it can fail. Most companies have never done this. Their doctors review outputs and say "looks good" or "that's wrong." We build the evaluation framework that turns ad hoc review into a systematic process.
Find your blind spots
We recruit physicians from our network matched to the specialties and clinical scenarios your product actually covers. They work from structured rubrics designed to surface the specific failure modes that informal review misses, especially errors of omission, where your model fails to mention something dangerous.
Deliver & iterate
You don't get a pile of doctor opinions. You get a failure taxonomy that categorizes and prioritizes your model's clinical weaknesses, a coverage map showing which domains have been tested and which haven't, and a concrete improvement plan your engineering team can execute against. We manage the entire process: physician onboarding, calibration, quality control, delivery.
Why Automate Clinic
We built Automate Clinic because we've been the clinical team at AI companies. We know where the process hits its limits because we've been the ones running into them. We're currently working with healthcare AI companies across clinical decision support, diagnostics, and medical documentation.
We've built doctor networks before
Our leadership team has built and scaled physician networks at multiple companies, from zero to nationwide coverage. Recruiting doctors is one thing. Keeping them engaged and managing clinical quality at scale is another. We've done both.
We're physicians who speak engineering
We've served as the clinical leadership inside AI companies, working directly with engineering teams on model development. We understand what your engineers need from clinical feedback because we've been in the room trying to give it to them.
We manage everything
Recruiting physicians is hard. But it's the easy part compared to onboarding, calibration, quality control, and translating clinical findings into something your engineers can act on. We don't just connect you with physicians. We deliver clinical intelligence with the operational infrastructure underneath it.
We adapt to how you work
The methods for integrating clinical expertise into AI development keep changing. We don't lock you into one framework. Whether your team needs structured evaluations, training data, safety testing, or something we haven't seen yet, we design the physician workflow around what your engineering team actually needs right now.
Find out where your model stands.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.
Stay focused on building. We'll bring the clinical expertise.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.
Clinical expertise for
healthcare AI teams
Most healthcare AI companies have a few doctors reviewing their product. That's a good start, but it's hard to turn into a systematic process. A few reviewers can catch a lot, but coverage gaps are inevitable when you're relying on a small team, and it's hard to get a complete picture of which clinical scenarios your model handles well and where the risks are. We bring a structured evaluation methodology, delivered by specialist physicians, that maps exactly where your model works and where it falls short. So you get findings your engineering team can act on.
How Automate Clinic works
Map your surface area
Every engagement starts with understanding what your model is supposed to do clinically, and building a structured picture of all the ways it can fail. Most companies have never done this. Their doctors review outputs and say "looks good" or "that's wrong." We build the evaluation framework that turns ad hoc review into a systematic process.
Find your blind spots
We recruit physicians from our network matched to the specialties and clinical scenarios your product actually covers. They work from structured rubrics designed to surface the specific failure modes that informal review misses, especially errors of omission, where your model fails to mention something dangerous.
Deliver & iterate
You don't get a pile of doctor opinions. You get a failure taxonomy that categorizes and prioritizes your model's clinical weaknesses, a coverage map showing which domains have been tested and which haven't, and a concrete improvement plan your engineering team can execute against. We manage the entire process: physician onboarding, calibration, quality control, delivery.
Why Automate Clinic
We built Automate Clinic because we've been the clinical team at AI companies. We know where the process hits its limits because we've been the ones running into them. We're currently working with healthcare AI companies across clinical decision support, diagnostics, and medical documentation.
We've built doctor networks before
Our leadership team has built and scaled physician networks at multiple companies, from zero to nationwide coverage. Recruiting doctors is one thing. Keeping them engaged and managing clinical quality at scale is another. We've done both.
We're physicians who speak engineering
We've served as the clinical leadership inside AI companies, working directly with engineering teams on model development. We understand what your engineers need from clinical feedback because we've been in the room trying to give it to them.
We manage everything
Recruiting physicians is hard. But it's the easy part compared to onboarding, calibration, quality control, and translating clinical findings into something your engineers can act on. We don't just connect you with physicians. We deliver clinical intelligence with the operational infrastructure underneath it.
We adapt to how you work
The methods for integrating clinical expertise into AI development keep changing. We don't lock you into one framework. Whether your team needs structured evaluations, training data, safety testing, or something we haven't seen yet, we design the physician workflow around what your engineering team actually needs right now.
Find out where your model stands.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.
Stay focused on building. We'll bring the clinical expertise.
Most companies are surprised by what a structured clinical evaluation reveals. Schedule a call and we'll walk through what it looks like for your product.