Anshul Verma in

Anshul Verma

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Co-Founder at Asimov (YC W26)
📍 Berkeley, California, United States

Anshul Verma is the Co-Founder of Asimov, a Y Combinator-backed startup creating a marketplace for humanoid robot training data. His background includes studying Electrical Engineering & Computer Science at UC Berkeley, with experience as a Software Engineer at Scale AI and a Machine Learning Researcher at Berkeley AI Research, specializing in data infrastructure.

He demonstrates a long-standing passion for technology, which extends back to high school where he competed and won awards in prestigious science fairs. Anshul co-founded his current company, Asimov, with his college roommate, showing a strong ability to build lasting and productive professional relationships from his personal connections.

Anshul won multiple awards at the Regeneron International Science and Engineering Fair (ISEF), including the Oracle Academy award for a project in systems software and a University of Arizona scholarship for his work in robotics.

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Experience
1 Years
Current Role
Co-Founder
Job Level
Leadership
Location
Berkeley, California, United States
Personality Overview

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Priorities

Topics Anshul cares about

AI Training Data
As the Co-Founder of Asimov, his core business is building the data infrastructure and marketplace to train humanoid robots at scale.
Humanoid Robotics
His company, Asimov, directly serves frontier robotics labs, aiming to provide the data necessary for the "GPT-3 moment for humanoid robots. "
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Career

Work history

10-2025
Co-Founder
Asimov (YC W26)
5-2025 - 8-2025
Software Engineer Intern
Scale AI
2025 - 2025
Machine Learning Researcher
Berkeley Artificial Intelligence Research
9-2024 - 12-2024
Machine Learning Consultant
Lenovo
9-2024 - 12-2024
Machine Learning Consultant
EPRI
In the press

Media appearances

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Education
8-2022 - 5-2026
Bachelor of Science - BS
University of California, Berkeley
7-2018 - 5-2022
Education details unavailable
Hamilton High School
Social presence
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Behavioral profile

DISC profile (public)

DISC behavioral profile

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