Deeptune

Work at Deeptune?

Total raised$43.0M
StageSeries A
Founded2022
Team size1-10
HQNew York, United States
Industries
AI/MLDeep LearningResearchSaaSSimulation

About Deeptune

Deeptune is a New York City-based company that partners with frontier AI labs to contribute directly to AGI research. Its mission is to advance AGI research by enabling AI agent training, and it operates in the frontier AI research ecosystem through collaborations with frontier labs. Deeptune has demonstrated rapid growth, reaching over $10M in annual recurring revenue in under six months and raising $43M in a Series A led by Andreessen Horowitz with participation from other top-tier investors. The team comprises engineers and operators from Scale, Glean, Retool, Palantir, Uber, Hebbia, and other notable tech firms.

Company at a glance

Location
New York, United States
LinkedInLinkedIn

Founders & Leadership

CW

Chris Wyman

Chief of Staff | Building the future of AI

LinkedIn
MS

Mikul Saravanan

Founder @ Wagoo | Computer Science & Econ @ Columbia | Egleston Scholar | Building @ Deeptune

LinkedIn
TL

Tim Lupo

Founder & CEO @ Deeptune, we're hiring!

LinkedIn

Top Benefits

  • The company seeks candidates who want lots of ownership.

Location

About the Team

Team Distribution

  • Engineering54%
  • Operations38%
  • Leadership8%

Where the Team Studied

  1. 1.Columbia University
  2. 2.University of California, Berkeley
  3. 3.New York University
  4. 4.Harvard University
  5. 5.Stanford University

Team Worked At

  • Anthropic
  • Scale AI
  • Palantir Technologies
  • Microsoft
  • Glean

Team Composition

12 people
  • Engineering4
  • Entrepreneurship2 senior3
  • Administrative1
  • Finance1
  • Leadership1 senior1
  • Operations1

Culture & values

The company seeks candidates who want lots of ownership.

Values working on the hardest and weirdest problems in applied research.

Maintains a small, talent-dense team in NYC.

Collaborates with frontier AI labs to contribute directly to AGI research.

Life at Deeptune

Frequently asked questions

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