Launch HN: BitBoard (YC X25) – AI agents for healthcare back-offices

Summary

Hi HN! We’re Connor and Ambar, and we’re working on BitBoard (https://bitboard.work). We build AI agents that handle repetitive administrative tasks in healthcare clinics like filling out intake forms, prepping charts, or managing referrals.We were early employees at Forward, which provided primary care across the US. To scale this, we relied on thousands of remote contractors to do repetitive administrative work like reconciling patient records, and scheduling follow-ups based on care plans. It was a huge bottleneck—expensive, error-prone, and always pulling attention away from clinical care. Our software solutions were always too brittle, never managing to handle the variance of clinical data we oversaw.AI, when applied well, is capable of performing a lot of the tasks we manually did. So we decided to take another crack at the problem by building today what we would have liked to have back then, and to help clinics use it.Clinics send us their SOPs (Standard Operating Procedures—for example, “prep a patient chart from these records before a visit”), and we turn them into AI agents that do the work. These agents act like remote contractors: they log into EHRs, navigate internal tools, and do the work in the background. Unlike classical RPA, we build in verification and deterministic checks, so customers can confirm it was done right. Unlike low-code tools, there’s nothing new to learn. Customers don’t have to touch a UI or maintain logic. They just hand us the task, and we do it. Clinicians don’t want more screens! They erode attention and cause weird bottlenecks in operations because someone has to drive them. Our product is built to address this.Here’s a demo video: https://www.youtube.com/watch?v=t_tQ0fYo85g. We’re not self-serve yet, but we deploy with customers in days after onboarding them. We’re working on speeding that up.One of our early customers is a fast-growing obesity medicine group. Their MAs were spending 15 to 20 minutes per patient just entering ...