Archetype AI

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…

Computer VisionEmbedded AILarge Behavior ModelMachine LearningPhysical AIReal-timeSensor FusionSpatial Computingarchetypeai.io

Archetype AI

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…

Computer VisionEmbedded AILarge Behavior ModelMachine LearningPhysical AIReal-timeSensor FusionSpatial Computingarchetypeai.io

HQPalo Alto, US

Team Size55

Open Jobs12

Total Funding$48M

Latest Fundraise6 months ago

TL;DR

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 Overview

Problem Domain

Perception and reasoning over physical environments using multimodal sensor and time-series data to detect issues and automate responses.

Founded

2023

Industry

Technology, Information and Internet

Tech Stack

Multimodal sensor fusion (radar, camera, accelerometer, temperature, microphones)

Foundation model (Newton / Large Behavior Model)

API and Agent Toolkit

Edge deployment; GPU-accelerated inference

Funding Track Record

Seed- 2024-04

13000000

Seed round announced tied to the Newton Physical AI model.

Series A- 2025-11-20

35000000

Series A announced on company blog; participation from multiple institutional investors.

Early seed (reported)- 2023-02-28

3100000

TechCrunch reported a $3.1M seed investment announced Feb 28, 2023 (closed earlier).

Investor Signal

“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.”

Founders

What we do

Join the Team

AI Solutions Specialist

On-SiteSan Mateo, CA, US

On-Site • San Mateo, CA, US

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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 at the Series A stage and is 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 San Mateo, 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 Job Archetype AI is seeking an AI Solutions Specialist to join our high-velocity Go-To-Market (GTM) Sales team, reporting to the Head of Solutions Architecture. We’re a fast-growing startup building Newton, our multi-sensor data fusion AI platform, and this role is all about rapidly turning customer ideas into working solutions.

In this role, you will help validate customer use cases and shape the solutions they need by combining prompt engineering with AI/ML data workflows. You’ll move quickly from reviewing incoming customer assets to designing prompts, preparing data, and running targeted evaluations. Working closely with Solutions Engineers and Sales Representatives, you’ll help ensure customers quickly see relevant, high-impact results from their data. This is a hands-on, internally focused role in a fast-paced environment that rewards ownership, initiative, and a strong can-do mindset.

Skills & Qualification

Required Qualifications

Soft Skills & Attributes

Startup-ready mindset with the ability to thrive in high-velocity, high-ambiguity environments.
Self-starter with strong organizational skills and a bias for action.
Comfortable working independently but collaborative in cross-functional projects.
Clear communicator who can translate technical results into actionable insights for non-technical teams.

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Data Preparation, Prompt Engineering & Fine-Tuning Support

Review and assess incoming customer assets (video, sensor streams data, use cases, requirements) for feasibility with Newton.

Prepare datasets in Python for evaluation and fine-tuning, including ingestion, cleaning, structuring, and steps such as imputation, filtering, normalization, or other basic signal processing for model readiness.

Support labeling and annotation workflows from dataset creation through evaluation.

Use signal visualization and basic statistical analysis to assess and validate data preparation steps.

Collaborate with engineering to investigate unexpected model performance and identify opportunities for improvement, noting that data preparation is often iterative (data prep → testing → refine prep → repeat).

Design, test, and refine prompts — including natural language and multimodal examples (e.g., n-shot examples in the Machine State Lens) — for Newton’s lenses (physical agents) based on specific customer needs.

Configure and adjust lens parameters to maximize performance on quick evaluations and proof-of-concept runs.

Maintain a library of reusable prompt templates and configuration presets for common scenarios.

Internal-Facing GTM Support

Work closely with Solutions Architects, Solutions Engineers, and Sales Representatives to support the GTM team.

Support Solutions throughout the entire customer engagement lifecycle — from top-of-funnel discovery through solution development, deployment, and follow-on expansion.

Summarize evaluation findings for the Solutions teams, enabling faster follow-up with customers.

Occasionally support demos or training sessions on prompt building and evaluation best practices.

Take ownership of assigned evaluation projects, driving them from raw data to testable results without waiting for step-by-step direction.

4+ years as an AI/ML data analyst, or related technical role focused on AI/ML data preparation, analysis, and evaluation.

Proven experience running both prompt engineering and fine-tuning workflows in production or prototyping environments.

Hands-on work with raw time-series sensor data and/or video, including preparation, structuring, and formatting for AI/ML models.

Experience executing iterative data preprocessing cycles (e.g., imputation, filtering, normalization): make targeted changes, re-run evaluations, inspect metrics/plots, compare against baselines, and retain improvements.

Background in end-to-end dataset labeling and annotation workflows, from raw data through evaluation.

Collaboration with engineering teams to diagnose model performance using time-series visualizations, embedding visualizations, and other diagnostic outputs.

Proficiency in Python for data cleaning, API calls, and dataset preparation.

Hands-on experience labeling and annotating data for model training, including preparing datasets for evaluation and fine-tuning (experience with tools such as Encord is a plus).

Ability to structure and preprocess raw time-series sensor data and video for AI/ML workflows, including use of signal visualization and basic statistical analysis for validation.

Familiarity with iterative data preprocessing loops (trial, assess, refine).

Experience working with Jupyter Notebooks or similar.

Experience generating customer-ready reports that present analysis results in a repeatable, consistent format.