Powered by Newton, the Physical AI foundation model that understands the real world, Archetype enables you to build and deploy Physical Agents across a wide range of use cases and industries.
Digital world and LLMs
Trained on 80% of text, 10% image and <5% video 4 modalities: text, video, images and audio. Each modality is treated individually.“
Real-world physical AI
50% physical sensor data, 20% video, <5% text Hundreds of sensor modalities can be critical for every use case. Requires fusion of multiple sensor modalities and data streams.
The First Foundation AI Model for Real-World Data
Newton: The First Foundation Model for Real-World Data. Newton powers Physical Agents, fuses diverse physical data — such as current, temperature, or vibration — with semantically rich inputs like language and video. By combining these signals, Newton reasons across modalities and uncovers patterns of physical behavior that are difficult or impossible to detect from any single source.
The data that keeps physical industries running — the signals and measurements that reflect how the real world actually works — is fundamentally different from the data and tasks of the online world. It requires a model designed and trained from the ground up for these challenges. That model is Newton.
One model with endless real-world applications. Newton projects physical sensor data and context into a single embedding space, creating a real-time physical world representation that customers can interact with using natural language.
Physics World Model
Provides physically accurate analysis of hundreds of physical data types out of the box.
- Time-series sensors — e.g., motion, power, electrical signals, and their combinations.
- Quantitative analysis — e.g., trajectory prediction, anomaly detection, multivariate analysis, and more.
Semantic World Model
Provides semantically accurate analysis of physical data in natural language — like talking to a human.
- Contextual inputs — e.g., video, text, and other high-level signals.
- Semantic insights — e.g., human-like descriptions, alerts, explanations, and interpretations.
How Newton AI sees the physical world.
Helping humanity make sense of the real world with physical AI
⸺ Manufacturing
Improve worker safety and boost operational efficiency with safety and machine monitoring agents that use existing sensors to discover anomalies, prevent failures, and optimize equipment performance.
⸺ Supply chain logistics
Optimize warehouse operations with task verification agents that predict downtime, enhance productivity, and ensure smooth coordination across facilities.
⸺ Construction
Autonomously monitor site progress, safety compliance, and equipment utilization through multimodal sensor fusion with safety and workflow-verification agents.
⸺ Smart cities
Enhance pedestrian safety and identify near-miss incidents in real time using edge-deployed safety agents that fuse video and environmental data.
⸺ Energy
Continuously monitor complex systems — from electrical grids to drilling operations — with adaptive, multimodal machine monitoring agents that detect inefficiencies and prevent costly downtime.
⸺ Healthcare
Continuously track patient conditions and well-being using context-aware monitoring agents that support proactive care and predict complications early.