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 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.

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

Archetype AI

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

HQPalo Alto, US

Team Size55

Open Jobs24

Total Funding$48M

Latest Fundraise4 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

TL;DR

Company Overview

Funding Track Record

Founders

What we do

Archetype AI

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

Archetype AI

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

HQPalo Alto, US

Team Size55

Open Jobs24

Total Funding$48M

Latest Fundraise4 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

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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

Founders

What we do

Join the Team

Technical Program Manager, Partner & Customer Delivery

RemotePalo Alto, CA, US

Remote • Palo Alto, CA, US

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.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Part-timeHaifa

Part-time • Haifa

Product Designer

Part-timeRotterdam, NL

Part-time • Rotterdam, NL

Technical Writer

InternshipAmsterdam, NL

Internship • Amsterdam, NL

Backend Developer

Full-timeNiš, RS

Full-time • Niš, RS

Data Scientist

Part-timeUtrecht, NL

Part-time • Utrecht, NL

Technical Writer

Full-timeNiš, RS

Full-time • Niš, RS

Customer & Partner Delivery
Lead programs that deliver our platform to external partners and enterprise customers.
Develop deployment and integration plans tailored to customer needs and timelines.
Ensure high-quality onboarding, technical enablement, and post-launch success.
Track key metrics like activation, usage, latency, and feedback loops.
Collaborate with Solutions Engineering and Sales to run discovery, define scope/SOWs, sequence POCs → pilots → production, and post-sales professional services.
Cross-Functional Technical Execution
Coordinate timelines and hand-offs between internal teams and external stakeholders.
Work with engineering and product to align the roadmap with customer use cases.
Translate partner/customer feedback into actionable product and infrastructure insights.
Technical Depth & Problem Solving
Understand how customers interact with our API, SDKs, and platform features.
Assist customers in debugging integration blockers, triaging bugs, and clarifying documentation gaps.
Use basic scripting (e.g., Python or shell) to validate data, test endpoints, or demo features.
Comfort guiding deployments in customer-managed cloud and edge environments.
Startup Execution & Adaptability
Own your programs end-to-end in a fast-moving, ambiguous environment.
Wear multiple hats: part TPM, part solutions engineer, part customer advocate.
Identify and solve bottlenecks independently, escalating only when necessary.
Executive presence: able to lead customer kick-offs, workshops, and review sessions, driving clear outcomes and recommendations.

4–8+ years of experience in technical program management, solutions architecture, or customer engineering roles.
Proven ability to lead technical programs with diverse customers and partners; experience with enterprise stakeholders is a strong plus.
Experience working in early-stage or high-growth startup environments.
Familiarity with platform or API-based products (bonus if AI/ML or data-centric).
Comfort working with Python, shell scripts, or similar tools for technical validation and support.
Basic understanding of REST APIs, cloud services, data pipelines, or SDK integration workflows.
Ability to read technical documentation, triage bugs, and contribute to reproducible issue reports.
Excellent communicator, able to represent technical details to non-technical partners.
Strong sense of ownership, urgency, and ability to manage ambiguity.
Able to balance customer empathy with internal clarity, driving aligned decisions across stakeholders.
Clear and confident writing for status updates, documentation, and executive communications.