
Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large Behavior Model (LBM) that fuses multimodal temporal sensor inputs (radar, camera, accelerometer, temperature, microphones) with natural language to produce universal sensor embeddings and behavior-aware outputs. Offered as a B2B SaaS platform, Archetype AI provides an API, Agent Toolkit, private fine-tuning, edge deployment options, and GPU-accelerated inference for embedded AI use cases. The technology targets industries such as construction, spatial computing, and diagnostics and is deployed with industry partners for pilots and scaled workflows.

Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large Behavior Model (LBM) that fuses multimodal temporal sensor inputs (radar, camera, accelerometer, temperature, microphones) with natural language to produce universal sensor embeddings and behavior-aware outputs. Offered as a B2B SaaS platform, Archetype AI provides an API, Agent Toolkit, private fine-tuning, edge deployment options, and GPU-accelerated inference for embedded AI use cases. The technology targets industries such as construction, spatial computing, and diagnostics and is deployed with industry partners for pilots and scaled workflows.
What they do: Builds a Physical AI platform (Archetype Platform) and Newton, a multimodal foundation model for sensor/time-series fusion to enable edge-deployable Physical Agents.
Business model: B2B SaaS with API, agent toolkit, private fine-tuning, edge deployment, and GPU-accelerated inference for embedded AI.
Founded: 2023
Notable funding: $13M seed (Apr 2024) and $35M Series A (Nov 20, 2025)
Target industries: Construction, spatial computing, diagnostics, telecommunications, smart cities
Perception and reasoning over physical environments using multimodal sensor and time-series data to detect issues and automate responses.
2023
Technology, Information and Internet
13000000
Seed round announced tied to the Newton Physical AI model.
35000000
Series A announced on company blog; participation from multiple institutional investors.
3100000
TechCrunch reported a $3.1M seed investment announced Feb 28, 2023 (closed earlier).
“Company lists participation from institutional and strategic investors including Venrock, Bezos Expeditions, Amazon Industrial Innovation Fund, Samsung Ventures, Gaingels, Plug and Play, Comcast NBCUniversal LIFT Labs, and others across rounds.”
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About Archetype AI Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.
Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently pre-Series A, progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.
Our team is headquartered in Palo Alto, California, with team members throughout the US and Europe.
We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio.
About The Role We are hiring a Staff Software Engineer responsible for the design, evolution, and reliability of our Physical AI systems and agent framework within the Solutions organization. This role defines the architecture and core abstractions for enterprise-grade Physical AI agents and the systems that support them.
This is a Staff-level individual contributor role with clear technical ownership. You will shape how agents and supporting systems are built, extended, tested, and operated, enabling internal teams to deliver repeatable, production-ready solutions to enterprise customers. While the role occasionally involves building reference integrations or supporting customer engagements, the primary focus is backend systems, framework design, and engineering rigor rather than UI-heavy application development.
The role reports into the Head of Solutions Engineering and works closely with Solutions Engineers, Product, and the Platform team to translate real-world requirements into durable, reusable systems.
Core Responsibilities
Required Qualifications
Preferred Qualifications
We Would Love To See