
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 ensuring quality through rigorous vetting and a vast pool of specialized PhD-level experts. Their services include providing novel training datasets, custom benchmarks, pre-launch testing, and agentic applications, all supported by a human-centric approach to AI development. Sepal AI is SOC 2 Certified and is relied upon by top AI labs that prioritize responsible and high-impact AI.

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 ensuring quality through rigorous vetting and a vast pool of specialized PhD-level experts. Their services include providing novel training datasets, custom benchmarks, pre-launch testing, and agentic applications, all supported by a human-centric approach to AI development. Sepal AI is SOC 2 Certified and is relied upon by top AI labs that prioritize responsible and high-impact AI.
What they do: Expert-grounded training data, RL environments, evaluation tooling, and model fine-tuning for frontier AI labs and enterprises
Headquarters: San Francisco, California, United States
Founders: Fedor Paretsky; Kat Hu
Stage / funding: Pre-Seed; raised a round announced Sep 25, 2024
Security / compliance: SOC 2 Certified
Training data quality, model evaluation, and safety for large and frontier AI models
2024
Data and Analytics
500000 USD
“Y Combinator (lead/backing investor)”
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Sepal is a data research company on a mission to advance human knowledge and capabilities through safe AI. We partner with the world’s leading AI labs and enterprises to help their models get better at the tasks people actually want them to do.
In this role, you will work with top researchers and a team of senior engineers on open-ended projects. You will design and implement products like agentic hiring workflows, agentic annotation platforms, RL environments, and eval infrastructures.
Who We’re Looking For:
Our Tech Stack:
You don’t need to know them all, but you should be comfortable jumping into at least one.
Working at SepalAI: