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Medical AI startup Alterra Labs raises $12.5 million in seed funding
Alterra Labs announced a $12.5 million seed round to build and expand simulated healthcare environments for evaluating and training AI models. Flare Capital Partners says the financing will support the company’s environments, clinical exper

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Seed financing
Alterra Labs announced a $12.5 million seed round to build simulated healthcare environments for evaluating and training AI models. Fortune reported that Oak HC/FT led the financing, with Flare Capital Partners and Company Ventures participating. Flare Capital Partners joined the round alongside those investors and a group of healthcare and technology angel investors.
The company is based in New York City and was founded by Akash Kapoor, its founder and CEO, according to the investor. The financing will support expansion of Alterra’s environments, clinical expert network and commercial team, the investor says.
Simulated healthcare work
The investor describes the offering as a system for measuring and improving AI behavior in healthcare, combining simulation environments, evaluations, clinical judgment and post-training data. The simulations, the investor says, reproduce healthcare software, including electronic medical records, imaging systems, payer portals and voice interfaces. Tasks cover routine work as well as difficult cases and edge cases, the investor says, with a clinician-authored rubric, a verifier and an analysis of how a model failed attached to each task.
Fortune reported that Alterra evaluates models on medical tasks and turns identified failures into training exercises. In one example described by the outlet, a model could be asked to choose tests in a simulated patient case, with clinicians judging whether those choices were medically appropriate. Fortune also reported that Stanford researchers found the best-performing agent completed fewer than half the tasks in each of two benchmarks for clinical and administrative work.
Clinician involvement
Alterra employs more than 40 practicing clinicians who work with machine learning researchers to design environments, tasks and rubrics, the investor says. Multiple attending physicians review every rubric, and clinicians and researchers jointly examine model trajectories to produce failure analyses, according to the investor.
Fortune reported that Kapoor started the company in 2025 while attending Columbia Medical School, initially under the name ChartR. He left medical school in his final year to work on Alterra full time, the outlet reported. Fortune also said Kapoor had studied machine learning and conducted healthcare-focused research at the National Institutes of Health before completing three years at Columbia.
Customers and expansion
The three customer groups the investor identifies are frontier AI labs, applied AI companies, and health systems and other institutions. Frontier labs use the environments and reinforcement learning data to improve performance on healthcare tasks, while applied AI companies can use the infrastructure to train models for their own use cases, the investor says. Health systems, specialty societies and government bodies can use it to evaluate AI they deploy and set standards, according to the investor.
Alterra has delivered calibrated sample sets to most leading frontier labs and turned some early engagements into paid partnerships, the investor says. The company also has clinical and public health partnerships with hospitals, specialty societies and other healthcare organizations, the investor says. Fortune reported that the company earns revenue from training environments and post-training services.
As context for the investment, the largest AI labs have reportedly considered spending in excess of $1 billion on environments and related infrastructure, the investor says. The global reinforcement learning market is estimated at roughly $11.6 billion and is growing rapidly, the investor says, without naming the estimate’s source.