Archetype AI
Archetype AI develops Newton, a proprietary Physical AI foundation model that fuses time-series sensor data with natural language to power deployable Physical Agents for industrial, construction, smart-city, and automotive enterprise customers.
- Company typePrivate
- Founded2023
- HeadquartersPalo Alto, United States
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Archetype AI does
Archetype AI is a venture-backed Physical AI company that develops and commercializes a foundation model named Newton, purpose-built to interpret real-world sensor data alongside natural language. Founded in 2023 by five former Google ATAP researchers led by Dr. Ivan Poupyrev (CEO and CTO), the company is headquartered in Palo Alto, California, with a legal address in San Diego. Newton fuses time-series sensor inputs (vibration, current, temperature, motion, electrical signals) with semantic inputs (language, video) using a proprietary architecture that includes Universal Tokens — a 32,768-token shared vocabulary between sensor data and natural language via Finite Scalar Quantization. The most recent model in the family, Newton TimeFusion, is a 2-billion-parameter multimodal transformer pre-trained on approximately 590 million real-world sensor measurements and 23 billion multimodal tokens, and the company reports it outperforms general-purpose LLMs such as GPT-5 and Claude Sonnet on sensor-language tasks.
The Archetype Platform layers on top of Newton an Inference Engine, a Fine-Tuning Engine, and an Agent Toolkit (a no-code visual environment plus Python SDK and REST APIs) that enable customers to build deployable Physical Agents for use cases such as predictive maintenance, worker safety, and process monitoring. The platform supports deployment across cloud, private cloud, on-prem, and edge environments — including hardware as modest as an Intel Atom — and integrates with existing industrial protocols (MQTT, OPC UA, Modbus) and SCADA systems without requiring re-instrumentation. Pre-built applications branded as Lenses (e.g., Worker Safety, Workplan Validation, Predictive Maintenance) and turn-key Physical Agents accelerate deployment versus bespoke per-asset ML, with the company citing reductions in time-to-deploy from 12+ months and 5+ ML engineers per model to days of configuration.
Archetype AI sells primarily through direct enterprise sales backed by quote-based Order Forms, with revenue from enterprise SaaS/platform subscriptions, professional services for customization and integration, and an AWS Marketplace listing. The company has closed a $13 million seed round (2025) and a $35 million Series A (November 2025), totaling roughly $48 million in disclosed funding, with strategic backing from Amazon (Industrial Innovation Fund), Hitachi Ventures, Samsung, and Bezos Expeditions. Named reference customers span manufacturing (NTT DATA Shop Floor Agent), construction (Kajima Construction Efficiency Agent on the Niigata canal widening project in Japan), smart city (City of Bellevue Pedestrian Safety Agent), and automotive (Volkswagen) deployments, with operations in the United States and Japan and global availability via AWS Marketplace.
Archetype AI firmographics
Firmographics- Name
- Archetype AI
- Legal name
- Archetype AI Inc.
- Website
- https://archetypeai.io
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Archetype AI develops Newton, a proprietary Physical AI foundation model that fuses time-series sensor data with natural language to power deployable Physical Agents for industrial, construction, smart-city, and automotive enterprise customers.
- Ownership category
- akta.pro rank
Archetype AI industry classification
Industry- Product category
- Industrial AI Platform / Physical AI Foundation Model
- NAICS
- Software Publishers (5132), Computer Systems Design Services (541512), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)
- akta.pro primary industry
- End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
- akta.pro secondary industries
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Agents & Autonomous Workflows (Tool Use, Planning, Multi-Agent) (HDAAACAF), Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO), Open-Source Model Ecosystems & Model Marketplaces (HDAAACAM)
Keywords
Where Archetype AI is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Offices3 records
Markets served
Archetype AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Enterprise SaaS / Platform subscription: Recurring subscription-based fees for access to the Archetype Platform and Newton services, governed by Order Forms and paid per the fees listed on the Archetype website or Order Form. Includes the Newton foundation model, pre-built Physical Agents, Agent Toolkit, and APIs.
- Professional services and custom deployment: Customer-paid implementation, integration, and customization services for deploying and fine-tuning Newton to customer-specific operations, hardware, and data environments.
- AWS Marketplace listing: Newton is integrated with AWS services and listed on the AWS Marketplace, enabling marketplace-mediated subscription and consumption revenue.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise subscription — quote-based via Order Form |
Go-to-market motion1 record
Distribution channels5 records
Marketing channels8 records
Archetype AI product offering
Product offeringCore offering
Archetype AI builds the Archetype Platform, a full-stack AI software platform powered by its proprietary Newton foundation model, which fuses real-time time-series sensor data (vibration, current, temperature, motion, audio, video) with natural language to perceive, understand, and reason about the physical world. The platform exposes Physical Agents (also called Newton Agents), the Agent Toolkit (a no-code visual environment plus Python SDK and REST APIs), and pre-built Lenses (e.g., Worker Safety, Predictive Maintenance) that enterprises can deploy across cloud, private cloud, on-prem, or edge hardware.
Product overview
Archetype AI offers a unified Physical AI platform — the Archetype Platform — composed of the Newton foundation model at its core, an Agent Toolkit for building and deploying Physical Agents (also called Newton Agents) across cloud, on-prem, and edge, and pre-built application templates called Lenses. The platform is powered by Newton, a proprietary multimodal foundation model trained on real-world sensor data that fuses hundreds of sensor modalities (vibration, current, temperature, audio, video) with language. The newest Newton family member is Newton TimeFusion, a 2-billion-parameter multimodal model that unifies human language and time-series sensor data via Universal Tokens. Developers can interact with the platform via REST APIs, a Python SDK, a JS Client, and a no-code Agent Toolkit; Lenses (e.g., Worker Safety Lens, Workplan Validation Lens, Predictive Maintenance Lens) are pre-built agents for common industrial use cases that can be combined into workflows. Reference deployments include the NTT Shop Floor Agent, the City of Bellevue Pedestrian Safety Agent, and the Kajima Construction Efficiency Agent.
Differentiator
Problem solved
Functional benefit
Brands
- Newton: Archetype AI's proprietary foundation model for the physical world, fusing multimodal sensor data (vibration, current, temperature, video, language) to perceive, understand, and reason about physical environments in real time.
- Newton TimeFusion
- Archetype Platform
Products and services
- Archetype Platform Full-stack AI platform providing foundation model inference, fine-tuning engine, agent workbench, APIs, and deployment infrastructure across cloud, private cloud, on-prem, and edge for enterprises building Physical Agents.
- Newton Foundation Model Proprietary Physical AI foundation model that perceives, understands, and reasons about the physical world in real time by fusing hundreds of sensor modalities with language and video; self-supervised pre-trained on approximately 590 million real-world sensor measurements.
- Newton TimeFusion 2-billion-parameter multimodal transformer in the Newton family that unifies human language and time-series sensor data using a 32,768-token Universal Tokens vocabulary, enabling natural-language interaction with sensors.
- Physical Agents (Newton Agents) Deployable real-time AI agents powered by Newton that sense, understand, and act in physical environments. Pre-built categories include Machine Intelligence, Process Intelligence, and Workforce Intelligence for monitoring, anomaly discovery, task verification, and operational guidance.
- Lenses Pre-built applications built on the Newton model that transform raw sensor data into actionable insights for specific use cases such as Worker Safety, Workplan Validation, and Predictive Maintenance, combinable into multi-step workflows.
- Agent Toolkit No-code visual environment for prototyping and testing Physical Agents, with automated data preparation, model optimization, and evaluation tooling, plus Python SDK and REST APIs for custom agent creation.
- Newton Fine-Tuning Engine Capability to fine-tune the Newton foundation model on a customer's proprietary sensor data inside their own infrastructure, producing a local world model that runs from cloud to edge while keeping operational data private.
- Archetype APIs (REST, Python SDK, JS Client) Programmatic interfaces including REST APIs, Python SDK, JS Client, Sensors API, Agent API, and File API that let developers build, configure, and deploy Newton Agents via code or integration with coding agents.
- Archetype AI Cloud Managed cloud deployment option for the Archetype Platform, providing scalable infrastructure for running Newton Agents and training the foundation model, alongside private cloud, on-prem, and edge deployment options.
Quantifiable outcome
- Reduced time-to-deploy industrial AI applications from 12+ months and 5+ ML engineers per model to days of configuration using natural-language prompts and a handful of in-context examples.
- +6 more outcomes
Companies that use Archetype AI
Customer profileNamed customers5 records
Segments6 records
Ideal customer profiles5 records
Archetype AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability16 records
Feature8 records
Archetype AI partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core cloud and marketplace distribution partner, key edge infrastructure partner, network hosting partner for edge deployment, flagship hardware/sensor co-development partner, strategic accelerator partner and startup ecosystem / gtm partner.
- Amazon Web Services (AWS)core cloud and marketplace distribution partnerNewton is integrated with AWS services and listed on the AWS Marketplace; AWS backed the company through the Amazon Industrial Innovation Fund. AWS has also co-launched (with NVIDIA and MassRobotics) the Physical AI Fellowship, supporting startups building simulation-based robotics and automation solutions, with reported 25% efficiency gains in Amazon's own supply chain via NVIDIA Isaac Sim on AWS.
- Dellkey edge infrastructure partnerDell's edge platform (using inexpensive GPUs) hosts the City of Bellevue Pedestrian Safety Agent powered by Newton, processing 43 GB per intersection daily. Validates Newtons ability to run on commodity edge hardware via Dell infrastructure.
- AT&Tnetwork hosting partner for edge deploymentAT&T's network hosts the City of Bellevue Pedestrian Safety Agent edge deployment, providing the connectivity layer for distributed Physical AI rollouts.
- Infineonflagship hardware/sensor co-development partnerStrategic partnership announced at OktoberTech Silicon Valley (Oct 2024) to accelerate development of sensor-based chips with AI functionality. Co-developed a foundation-model demo fusing radar and microphone data (no cameras) for smart-home and IoT use cases. Archetype and Infineon demonstrated Newton as a large behavior model combining real-time sensor data with natural language at OktoberTech 2024.
- Comcast NBCUniversal LIFT Labsstrategic accelerator partnerArchetype AI completed the Comcast NBCUniversal LIFT Labs Accelerator program in Fall 2024, supporting go-to-market introductions, mentorship, and enterprise pipeline development.
- Plug and Play Tech Centerstartup ecosystem / gtm partnerArchetype AI participated in the Plug and Play Tech Center 2024 program, providing ecosystem access, enterprise introductions, and visibility to corporate partners.
Scale indicators11 records
Recent moves6 records
Expansion highlights6 records
Archetype AI competitors and assessment
Company assessmentDirect peers
- C3.ai: C3.ai is an enterprise AI platform purpose-built for industrial operations, asset performance, and process optimization — the same enterprise buyer, same physical-world use cases (predictive maintenance, anomaly detection), and a comparable platform/applications monetization model as Archetype AI.
- Uptake: Uptake is an industrial AI platform focused on predictive maintenance and asset performance for rail, aerospace, and energy — directly comparable to Newton's predictive maintenance and anomaly detection use cases against physical sensor data, and an example of how a strong IP can be acquired rather than scale independently.
- Augury: Augury builds AI-driven machine health and process solutions using vibration, temperature, and other sensor data for manufacturing customers — directly comparable in target buyer (plant reliability teams), modality (sensor fusion for anomaly detection), and go-to-market as a vertical SaaS overlay on industrial assets.
- SparkCognition: SparkCognition applies AI to industrial, defense, and energy use cases including predictive maintenance and asset monitoring — closely comparable to Newton's industrial vertical and similarly markets a domain-specialized AI stack rather than a horizontal LLM.
- Sight Machine: Sight Machine is a manufacturing analytics platform that fuses factory sensor data with video and contextual inputs to drive quality and OEE — directly comparable to Newton's Manufacturing & Industrial Operations segment and its sensor-fusion-first architecture.
Broad incumbents
- NVIDIA (Industrial / Omniverse / Isaac): NVIDIA's Omniverse and Isaac platforms, plus its Physical AI initiatives and partnerships with AWS, are the closest large-platform competitor in Physical AI — offering simulation, robotics, and industrial AI as part of a much broader portfolio. Not a direct software competitor at the application layer, but the dominant underlying compute and simulation platform.
- Palantir Technologies: Palantir's Foundry and AIP platforms operationalize industrial sensor and operational data for enterprises across manufacturing, energy, and government — comparable buyer (CIO/COO at large industrial firms), comparable use cases (predictive maintenance, asset intelligence), and a much broader portfolio that overlaps with Newton's industrial vertical.
- Amazon Web Services (Monitron / Panorama / Industrial AI): AWS offers industrial AI services including Monitron (sensor-based predictive maintenance) and Panorama (edge CV) and is also Archetype's distribution partner via the AWS Marketplace and Industrial Innovation Fund — a critical incumbent relationship that is simultaneously a channel and a competitive risk.
- Google DeepMind: Google DeepMind's Gemini and robotics/embodied AI efforts are the closest frontier-model incumbent to extending into Physical AI at scale — comparable in that they target multimodal sensor+language reasoning, and the same Google ATAP research ecosystem from which Archetype's founders originated.
- Rockwell Automation (Fiix / Plex / Asset Performance): Rockwell's Fiix, Plex, and Asset Performance Management offerings target the same manufacturing buyer and use cases (CMMS, predictive maintenance, OEE optimization) as Newton, but as part of Rockwell's full industrial automation stack rather than as a specialized Physical AI platform.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks7 records
Key highlights7 records
Customer concentration
Archetype AI social profiles
Digital presenceArchetype AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Archetype AI leadership team
Management profileNumber of profiles
Profiles5 records
Archetype AI subsidiaries and ownership
Company hierarchySubsidiaries1 record
Archetype AI funding detail
Funding detailFunding overview
Funding rounds6 records
Investors18 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Archetype AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Archetype AI
What does Archetype AI do?
Archetype AI builds the Archetype Platform, a full-stack AI software platform powered by its proprietary Newton foundation model, which fuses real-time time-series sensor data (vibration, current, temperature, motion, audio, video) with natural language to perceive, understand, and reason about the physical world. The platform exposes Physical Agents (also called Newton Agents), the Agent Toolkit (a no-code visual environment plus Python SDK and REST APIs), and pre-built Lenses (e.g., Worker Safety, Predictive Maintenance) that enterprises can deploy across cloud, private cloud, on-prem, or edge hardware.
Is Archetype AI a public or private company?
Archetype AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Archetype AI founded?
Archetype AI was founded in 2023. It employs 51 to 100 people.
Where is Archetype AI based?
Archetype AI is headquartered in Palo Alto, United States, in the North America region.
How does Archetype AI make money?
Three revenue lines are on record. Enterprise SaaS / Platform subscription is the primary driver. The others are professional services and custom deployment and AWS Marketplace listing.
Who are Archetype AI's main competitors?
Direct peers on record are C3.ai, Uptake, Augury, SparkCognition and Sight Machine. Broad incumbents are NVIDIA (Industrial / Omniverse / Isaac), Palantir Technologies, Amazon Web Services (Monitron / Panorama / Industrial AI), Google DeepMind and Rockwell Automation (Fiix / Plex / Asset Performance).
Does Archetype AI have an API?
Yes. The Archetype Platform exposes a full API surface — REST APIs, a Python SDK, a JS client, an Agent API, a Sensors API, and a File API — that enables developers to build, configure, test, and deploy Newton Agents. Developers can compose agents, prepare data, optimize models, and evaluate Physical Agents programmatically; an Agent Toolkit provides a no-code visual environment for prototyping. Authentication and resource management are handled through core services of the platform. Developer documentation is at docs.archetypeai.app/introduction/overview.
What industry is Archetype AI in?
Archetype AI's product category is Industrial AI Platform / Physical AI Foundation Model. Its primary akta.pro industry code is HDAEANAA, End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management), with a secondary code of HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs). Its NAICS code is 5132 and its SIC code is 7372.