
Sepal AI empowers ambitious AI teams to build faster and safer foundational AI models by providing expert-grounded data at every stage of development. They focus on accelerating model iteration and…

Sepal AI empowers ambitious AI teams to build faster and safer foundational AI models by providing expert-grounded data at every stage of development. They focus on accelerating model iteration and…
Headquarters: San Francisco, California, United States
Core offering: Expert-grounded data, RL environments, and human-data projects to improve model reasoning and safety
Founders: Fedor Paretsky; Kat Hu
Funding: Pre-seed round (reported 2024-09-25); Y Combinator listed as lead
Compliance: SOC 2 Certified
Data quality and safety for foundational AI models, including RL environment construction and domain-specialist human-data projects.
2024
Data and Analytics
500000
“Y Combinator; Team Ignite Ventures”
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About the Project
Sepal is conducting a study to understand the real-world judgment, workflows, and expertise of practicing pathologists and lab physicians . Our goal is to capture the subtle but critical decision-making that goes into diagnosing complex cases, triaging ambiguous findings, and working with lab data at scale.
We’re not building another AI model—we’re documenting and celebrating how real experts think and reason . Your input will help define excellence in pathology, build educational resources, and support future research on safe and aligned medical AI systems.
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