I recently sat down with the founders of Insight Health to talk about what they’re building and why we were excited to lead their Series A at Standard Capital.
At a high level, Insight Health is building AI doctors for specialty care. That’s a big vision, but what I liked about the conversation is that they are approaching it in a very practical way. They are not claiming that health care instantly becomes fully autonomous overnight. They are starting with the parts of specialty care that are the most repetitive, operationally painful, and time-consuming: referrals, pre-visit intake, collecting missing records, follow-up, and ongoing patient communication.
That matters because specialty care is full of friction. Most people think about the doctor visit itself, but a huge amount of the work happens around the visit. A referral comes in by fax, phone, website, or through the EHR. Information is missing. Imaging and records are scattered. Insurance details need to be confirmed. Patients get asked the same questions multiple times. And in many cases, a specialist ends up spending a meaningful part of the first visit just reconstructing history instead of actually helping the patient.
Insight Health’s product sits right in the middle of that workflow. One example they gave was a spine practice. A patient gets referred in for something like low back pain or a possible herniated disc. Insight’s AI can process the referral, reach out to the patient, gather missing context, collect prior imaging and history, and make sure the provider has what they need before the appointment even starts. The system works across voice and other modalities, which is especially important in health care, where many patients are older and need something accessible and easy to use.
What I found compelling is that this is not about replacing the physician. It is about letting the physician and care team spend more time on the part that actually matters. Instead of burning half the visit on forms, history capture, and missing documentation, the visit can focus on diagnosis, treatment, and patient care.
The customer examples were strong. In GI, they worked with a practice that had an eight-month backlog for colorectal screening. Their AI agent talked to patients, collected history, and handled clinical risk stratification. They cleared the backlog in three weeks, screened more than 3,000 patients, generated meaningful additional revenue for the clinic, and helped identify potential colorectal cancer cases that might otherwise have been delayed. That is a pretty good example of what AI looks like when it is pointed at a real operational bottleneck in health care.
They also talked about Coastal Health, a large multi-specialty group in Florida. One of the big wins there was making the first specialist visit much more efficient by gathering information in advance and packaging the patient properly before they arrived. The result was that providers could save 15 to 20 minutes on a first visit, and in at least one case a physician went from seeing seven new patients in a clinic day to as many as fourteen. In specialty care, that kind of improvement does not just matter for throughput. It also drives better access for patients and more downstream procedure revenue for the practice.
The team is unusually well suited to build this. On the clinical side, they have physicians who deeply understand how specialty workflows actually work. On the technical side, key members of the team previously built the health care effort at Segment, where they saw firsthand how valuable it is to integrate across fragmented systems and make complex infrastructure usable in real-world environments. That background shows up here. Insight Health is not just building a demo. They are building something that can plug into the messy reality of health care delivery.
I also liked how clearly they understand the buyer. Their sweet spot today is mid-market specialty practices, roughly 15 physicians up to a few hundred. These clinics are under real pressure. They need to see more patients, improve efficiency, and avoid hiring more staff just to keep up with workflow. In many cases, staying independent is getting harder. Insight Health’s pitch is straightforward: help practices move patients through the system faster, improve revenue, reduce operational burden, and make the whole experience better for both providers and patients.
The long-term vision is much bigger. They see a world where every patient has an AI navigator available around the clock, and every provider has an AI copilot that takes routine work off their plate. If that happens, providers can spend more of their time on the highest-value clinical decisions, and patients can get access to care much faster than they do today. In a system where specialist wait times can stretch for weeks, that matters a lot.
At Standard Capital, we spend a lot of time thinking about where AI is creating real value in the real world. Insight Health fits that well. They are going after an important problem, they are building in a category with obvious ROI, and they are doing it with a team that has both clinical credibility and technical depth.
We’re excited to be partnering with them.