
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
| Company |
|---|
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.”
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 Archetype AI is seeking a hands-on Evaluation Lead to build and assess model performance for physical AI. You will design and implement advanced evaluation techniques for assessing the strengths and weaknesses of real-world AI models, and build and scale evaluation frameworks to rapidly test and generate reports on model performance. Responsibilities include partnering closely with research and engineering teams to develop evaluation methodologies, analytically assessing and improving test datasets, uncovering model weaknesses or risks, and tracking competitive industry benchmarks. This is a high-impact role for someone who thrives in a fast-paced AI environment and wants to directly influence our path as we scale our AI technologies and business.
Core Responsibilities
Key Requirements
Minimum Qualifications
What We Would Love To See
Drive Benchmarking & Evaluation
Design and implement rigorous evaluation methodologies and benchmarks for measuring model effectiveness, reliability, alignment, and safety
Lead evaluation of model performance, ranging from offline experiments to full production model testing
Build & Scale Evaluation Frameworks
Design and oversee the pipelines, dashboards, and tools that automate model evaluation
Design and oversee tools for A/B model testing, regression testing, and production model performance
Lead Evaluation Strategy
Develop and implement strategies for evaluating physical AI models that can scale across a broad range of real-world use cases, sensor types, and edge cases
Plan, run, and oversee evaluations, across internal teams and external customers
Drive edge case discovery, red-teaming, safety, privacy, and risk evaluation - feeding back knowledge to key stakeholders in research and engineering teams