# P-1 AI

> P-1 AI is a deep-tech startup building engineering AGI for the physical world. Its product, an anthropomorphized AI engineer agent named Archie, is trained on proprietary semi-synthetic, physics-based datasets to reason across multiphysics design problems and use the same complex engineering tools human engineers use. Currently operating at the level of a junior mechanical and electrical engineer, Archie is already working with design partners on data center cooling and critical power systems, with expansion planned into automotive, aerospace, and defense. Founded by former Airbus and United Technologies CTO Paul Eremenko alongside Google DeepMind and Airbus veterans, the company raised a $23M seed round in 2025 led by Radical Ventures.

- **Founded:** 2024
- **Headquarters:** San Francisco Bay Area, California, United States (incorporated in Nevada)
- **Founders:** Paul Eremenko (Co-founder & CEO), Adam Nagel (Co-founder & Head of Engineering), Aleksa Gordic (Co-founder & Head of AI)
- **Team size:** ~34 employees
- **Products:** Archie, Semi-synthetic physics training data
- **Notable:** Emerged from stealth in April 2025 with a $23M seed round led by Radical Ventures., Attracted angel investment from Google DeepMind chief scientist Jeff Dean and OpenAI product VP Peter Welinder., Published a research paper, 'On the Evaluation of Engineering AGI' (arXiv 2505.10653).

## Products & services

- **Archie** — An AI engineer agent for the physical world. Trained on proprietary semi-synthetic, physics-based datasets to develop quantitative multiphysics intuition and use complex engineering tools. Currently at the level of a junior mechanical and electrical engineer. Uses structured design representations to keep AI models 'on rails' while executing engineering tasks.
- **Semi-synthetic physics training data** — P-1 AI's core technical differentiator: it generates physics-based synthetic datasets to overcome the scarcity of real-world engineering training data, teaching models the underlying physics and spatial reasoning behind design.

## Achievements

- Emerged from stealth in April 2025 with a $23M seed round led by Radical Ventures.
- Attracted angel investment from Google DeepMind chief scientist Jeff Dean and OpenAI product VP Peter Welinder.
- Published a research paper, 'On the Evaluation of Engineering AGI' (arXiv 2505.10653).
- Built Archie to junior mechanical/electrical engineer capability and deployed with data center design partners.
- Featured on Sequoia's Training Data podcast and Ashlee Vance's Core Memory podcast.

## Latest updates

- **2026-01** — Co-authored a Fortune op-ed with Daikin Applied arguing AI tools can help close the US engineering-talent gap.
- **2025-05** — Published 'On the Evaluation of Engineering AGI' on arXiv.
- **2025-04** — Came out of stealth with a $23M seed round and public launch of Archie.

## Links

- Website: https://p-1.ai
- LinkedIn: https://www.linkedin.com/company/p-1-ai
- YouTube: https://www.youtube.com/watch?v=2B6ygVUhrVM

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Profile page: https://yespress.io/p-1-ai
Published by YesPress — https://yespress.io
Last updated: 2026-07-03