
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 research study to understand work excellence among software quality assurance analysts and testers to establish professional benchmarks. Selected participants will share their professional background, design field-specific screening questions, and document substantial work projects as case studies.
Sample of Reported Job Titles: QA Analyst, Software Tester, QA Engineer, Test Analyst, Quality Assurance Specialist
MUST-HAVE QUALIFICATIONS:
COMPENSATION AND LOGISTICS:
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