Skip the Model Work: Bring Physical-World Intelligence to Your Apps with Newton

​Description

​You’re racing to get to market, but the model work never ends. Turning real-world sensor data into intelligence means rounds of data collection, training, and tuning across different systems, tasks, and environments—delaying your launch.

​In this session, we’ll show how Newton, Archetype AI’s physical world model, can help you break that cycle. With ready-to-use agents and APIs, you can bring physical intelligence into your applications without building specialized AI models for every use case. You’ll also hear from a startup customer building on Newton to accelerate product development and get to market faster.

​Newton brings a foundation model approach to the physical world, learning generalizable patterns directly from sensor measurements and visual observations. This enables you to apply pretrained intelligence across different physical systems and use cases, rather than starting from scratch.

​Teams are building on Newton to understand cardiac health, track oil rig activity, monitor traffic safety, and manage data center cooling, all powered by the same underlying model.

​What you’ll learn:

• ​How Newton helps you build applications faster, then scale to new use cases without developing specialized AI models for each one.

• ​How Newton interprets real-world sensor and video data to understand physical states, recognize events, and uncover hidden conditions

• ​What it takes to get started with Newton, from APIs and ready-to-use agents to deployment in the cloud, on-premises, or at the edge

• ​An inside look at one startup’s decision to use Newton, how they’re building with it, and lessons learned along the way