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 Size48

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 Size48

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

Solutions Engineer

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.

Software Engineer

Full-timeAustin, US

Full-time • Austin, US

Backend Developer

Part-timeJerusalem

Part-time • Jerusalem

Data Scientist

Full-timeBerlin, DE

Full-time • Berlin, DE

Backend Developer

Full-timeHaifa

Full-time • Haifa

Frontend Developer

ContractBelgrade, RS

Contract • Belgrade, RS

Backend Developer

Part-timeHamburg, DE

Part-time • Hamburg, DE

Pre-Sales Technical Leadership
Be the technical voice of the company in customer engagements, representing our product’s capabilities and technical vision.
Join customer sales calls as the technical subject matter expert, translating requirements into solution designs.
Deliver tailored technical demos that highlight relevant capabilities and industry use cases.
Lead technical discovery and solution scoping sessions with customer stakeholders.
Respond to technical questions and requirements in procurement and RFP processes.
Solution Delivery & Implementation
Lead delivery of POCs and pilot projects using internal tools, application templates, and APIs.
Onboard, deploy, and integrate solutions into customer environments, including cloud, edge, and on-premise deployments.
Build reusable solution assets such as templates, scripts, and integration components to accelerate delivery for future projects.
Ensure solutions align with performance, security, and compliance requirements.
Take a hands-on role in coding, integration, troubleshooting, and optimization during deployments.
Team Mentorship & Leadership
Mentor junior and mid-level engineers on technical best practices, deployment approaches, and customer engagement skills.
Act as a technical lead on select projects, coordinating engineering efforts to ensure quality and timely delivery.
Contribute to building internal knowledge bases, playbooks, and reusable technical assets.
Cross-Functional Collaboration
Partner with Sales, Product Management, AI R&D, and Platform Engineering teams to ensure customer needs are met and exceeded.
Act as the technical voice of the customer, advocating for enhancements and prioritization of high-value capabilities.
Support marketing and GTM teams by contributing technical content for solution briefs, case studies, and events.

Experience & Background
10+ years of engineering experience in relevant fields (IoT, industrial, medical, computer vision, enterprise SaaS, or similar).
5+ years working directly with enterprise clients in a customer-facing Solutions Engineer, Sales Engineer, or Solutions Architect role.
Demonstrated success designing and delivering complex enterprise-grade technical solutions for customers in production environments.
Track record as a hands-on engineer: you’ve debugged gnarly issues, written core components yourself, and solved problems that didn’t come with a playbook.
Experience building and deploying solutions on the edge or on-premise, as well as in cloud-native environments (AWS, Azure, Kubernetes).
Hands-on experience with numerous sensor technologies (video, vibration, radar, temperature, accelerometers, etc.) and communications protocols (REST, MQTT, TCP/UDP, WebSockets, serial, RTSP, etc.).
Proficiency integrating with customer systems via APIs, Kafka, and data pipelines.
Ability to design and build data ingestion pipelines for real-time and batch processing scenarios.
Technical Skills
Proficiency in multiple programming languages (e.g., Python, C#, C++, JavaScript/TypeScript) and able to roll up your sleeves to build production-grade code, not just prototypes.
Experience with modern software architecture (microservices, event-driven systems, containerized deployments).
Experience building full-stack applications with modern frameworks and tooling (e.g., Svelte, React, Tailwind, Node.js).
Knowledge of compliance frameworks including SOC2, HIPAA, PHI, GDPR, and ISO standards.
Familiarity with security best practices such as TLS/SSL, OAuth 2.0, OpenID Connect, secure connectivity protocols, and IoT security.
Understanding of data provenance, governance, and secure data handling.
Familiarity with model deployment, inference pipelines, and real-time data processing.
Soft Skills & Attributes
Startup-ready mindset, thrives in ambiguity, adapts quickly to change, and operates at speed without sacrificing quality.
Hardcore problem-solver with a bias for action: the kind of engineer who digs in, finds the root cause, and gets it done even when the path isn’t obvious.
Strong communication skills with the ability to translate complex technology into customer value.
Consultative and collaborative, with the ability to navigate complex enterprise environments.
Skilled at mentoring and enabling other engineers.
Self-starter with strong organizational and time-management skills.
Willingness to travel extensively as needed for customer success. This may include regular customer engagements, visits to Palo Alto HQ, trade shows, and industry events. While travel volume may fluctuate, candidates should be prepared for periods of heavy travel, including extended on-site work with customers if required.