P-1 AI
Category: AI Agents
Building Archie, an agentic AI engineer for hardware engineering disciplines including mechanical, electrical, thermal, fluids, and systems design for industrial teams. P-1 AI was founded in 2024. The company is led by Paul Eremenko. Based in San Mateo, California, United States. Team size: 11-50. Total funding raised: $73M. Latest round: Series A. Key investors include New Enterprise Associates (NEA), Radical Ventures, Village Global, Schematic Ventures, Lerer Hippeau, Jeff Dean (Google DeepMind), Peter Welinder (OpenAI), Bob van Luijt (Weaviate), Zak Stone (Google Cloud), Cameron McCord (Nominal), Nick Marwell (Anthropic), Jo Zhu Kennedy (Anthropic).
- Founded
- 2024
- Headquarters
- San Mateo, California, United States
- Team size
- 11-50
- Total funding
- $73M
Value proposition
An AI engineer (Archie) that integrates into existing engineering teams and workflows, using the same tools as human engineers, to reduce design cycles from days to minutes, expand engineering capacity, and address acute talent shortages in hardware engineering.
Products and solutions
Archie (agentic AI engineer for hardware engineering), Archie Solo (lightweight individual version, private preview announced July 2026)
Unique value
Archie is the first agentic AI engineer purpose-built for the physical world — it uses the same engineering tools (Solidworks, AutoCAD Electrical, Excel, PLM) as human engineers, fits into existing workflows in an anthropomorphic form factor, and completes end-to-end design workflows in ~23 minutes vs. 7-10 days for humans.
Target customer
Industrial OEMs in data center cooling, critical power systems, automotive, aerospace & defense
Industries served
Data center cooling and critical power systems (current), automotive, aerospace & defense (expanding 2026)
Technology advantage
Custom agentic harness; structured design representation; continual skills learning; small custom post-trained models (SFT and RLVR) using proprietary semi-synthetic training data; federated multi-model architecture combining physics-based surrogate models, geometric reasoners, and specialized LLMs; anthropomorphic form factor minimizing change management for customers.
How they differentiate
Unlike general-purpose AI coding agents (Cursor, Devin) focused on software, P-1 AI targets hardware/physical engineering. Archie uses a federated multi-model architecture (physics-based surrogate models, geometric reasoners, lobotomized LLMs) orchestrated by a central reasoning system. The company generates proprietary semi-synthetic training data to overcome the scarcity of real-world physical engineering datasets. Custom post-trained models (SFT and RLVR) on proprietary data.
Main competitors
No direct competitors at same stage in the agentic AI-for-hardware-engineering space. Indirectly competes with traditional engineering outsourcing firms and, at a higher level, with general-purpose AI coding agents (Cursor, Devin) that are software-focused. The company positions itself as analogous to what Anthropic/Cursor/Devin are for software, but for the physical world.
Key partnerships
Daikin Applied Americas (data center cooling design partner), NVIDIA (Archie showcased supporting NVIDIA DSX data center reference design at COMPUTEX 2026; featured in NVIDIA NemoClaw blog on autonomous AI engineers), Several leading industrial OEMs in data center cooling and critical power systems (design partnerships)
Notable customers
Daikin Applied Americas (data center cooling provider, design partner), Several leading industrial OEMs in data center cooling and critical power systems (design partners, names not publicly disclosed)
Major milestones
2024: Company founded by Paul Eremenko, Aleksa Gordić, and Adam Nagel, 2025-04: Emerged from stealth with $23M seed round led by Radical Ventures, 2026-07: Raised $50M Series A led by NEA ($73M total), Jeff Immelt (ex-GE Chairman & CEO) joined board, Lila Tretikov (NEA partner, ex-Microsoft Deputy CTO) joined as board observer, Launched Archie Solo private preview, Showcased Archie at COMPUTEX 2026 supporting NVIDIA DSX data center reference design
Market positioning
First-mover in agentic AI for hardware/physical engineering — a nascent category analogous to what Cursor/Devin did for software engineering. Targeting the acute shortage of engineers in the US vs. China (1.3M vs 130K engineers graduating per year).
Geographic focus
United States (San Francisco Bay Area HQ), with forward-deployed engineers across US and Canada
About Paul Eremenko
Ex-CTO of Airbus (youngest CTO at age 35); Ex-SVP & CTO of United Technologies; Ex-DARPA executive; Co-Founder & CEO of Universal Hydrogen; MIT graduate
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Official website: https://p-1.ai