Archetype AI Team
Every physical AI project hits the same wall. You have sensor data and a product idea, but turning that data into intelligence means gathering examples, training a model, tuning it, and then starting over for the next machine, site, or task. The model work becomes the roadmap, and launch dates slip.
On Thursday, November 5, Archetype AI is hosting a live webinar on how to break out of that loop. We will show how Newton, our physical world model, lets you add physical intelligence to your applications through ready-to-use agents and APIs, so you do not have to build a specialized model for every use case. Three Archetype AI speakers will walk through how it works, what it takes to get started, and how a startup customer is already building on it.
When is the webinar and how do I join?
- Date: Thursday, November 5, 2026
- Time: 12:00 PM ET / 9:00 AM PT (45 minutes)
- Format: Live on Zoom
- Speakers: Brandon Barbello, Sisinio Baldis, and Joel Dennison
- Registration: Request your spot on Luma. Registrations are subject to host approval.
Who are the speakers?
The session is led by three members of the Archetype AI team:
- Brandon Barbello, Co-founder and COO of Archetype AI
- Sisinio Baldis, Head of Solutions Engineering at Archetype AI. Sisinio also presented our predictive maintenance webinar, where he explained how a pretrained physical world model changes what it takes to scale.
- Joel Dennison, Staff Solutions Engineer at Archetype AI
Why does model work slow down physical AI products?
Real-world sensor data does not come ready to use. Each new system, task, or environment usually brings its own cycle of data collection, training, and tuning. Teams that are racing to get to market end up spending their time rebuilding models instead of building products.
The cost compounds as you grow. A model built for one machine rarely carries over to a different machine, a different site, or a different task, so every expansion restarts the same cycle. For a product team, that means the roadmap is set by how fast models can be built rather than by what customers need.
How does Newton skip the model work?
Newton takes a foundation model approach to the physical world. It learns general patterns directly from sensor measurements and visual observations, so you can apply pretrained intelligence across different physical systems instead of starting from scratch each time.
Newton Agents and APIs put that capability inside your own applications. Rather than training a custom model for every asset and use case, you build on intelligence that already understands how physical systems behave, then extend it as your product grows.
What can you build on Newton?
The same underlying model already powers very different work. Teams are building on Newton to:
- Understand cardiac health
- Track oil rig activity (see how we approached physical AI in upstream oil and gas)
- Monitor traffic safety
- Manage data center cooling
Four different domains, one model. That is the point of a foundation model for the physical world: you do not need a new model every time the use case changes.
What will the webinar cover?
- Faster builds, wider reach: how to ship an application on Newton and then extend it to new use cases without developing a new model for each one.
- How Newton reads the physical world: how it interprets sensor and video data to understand physical states, recognize events, and uncover hidden conditions.
- Getting started: the path from APIs and ready-to-use agents to deployment in the cloud, on-premises, or at the edge.
- A startup's story: a customer explains why they chose Newton, how they are building with it, and what they learned along the way.
Save your spot
If model work is the thing standing between your sensor data and your next release, this session is for you. Register for the webinar on Luma and see what building on Newton looks like.
To learn more about the Archetype platform, visit Archetype AI or follow us on LinkedIn and X (@PhysicalAI).
Frequently asked questions
How do I register for the webinar?
Registration runs through Luma. Request your spot using the link above. Registrations are subject to host approval, so sign up early.
What time does the webinar start?
The webinar runs on Thursday, November 5 from 12:00 to 12:45 PM ET, which is 9:00 to 9:45 AM PT.
Where is the webinar held?
It is a live online session on Zoom.
What is Newton?
Newton is Archetype AI's physical world model. It learns from sensor measurements and visual observations, so teams can bring physical-world intelligence into their applications through ready-to-use agents and APIs instead of building a specialized model for each use case.
Where can Newton be deployed?
The webinar covers deployment in the cloud, on-premises, or at the edge.
