
AI for planning in the physical world
Explore the possibilities. Understand what follows.
We’re developing AI to help engineering and production teams explore alternative plans, trace their consequences, and compare tradeoffs before committing.
A change to one part can change the whole plan.
A different material can affect tooling, inspection, supplier orders, and work already in progress. A better choice for the part can create new constraints for production.
The decision needs to account for the part, the production process, and the work already committed.
Our starting point: where engineering changes meet production.

Compare plans on common ground.
Our approach starts with a shared model of parts, processes, orders, and constraints. AI explores alternative plans, keeping each plan’s proposed changes, assumptions, and supporting evidence distinct. Teams can then compare the consequences and see what still needs investigation.
One change. Several ways forward.
A team is considering a lower-cost material for a housing already in production. The potential saving must be weighed against qualification work, existing inventory, and delivery commitments.
Make the alternatives explicit. Decide with the tradeoffs in view.
Illustrative scenario · Lower-cost material proposed
Any introduction depends on completing the required validation and approval.

Prioritize the cutover
- Potential benefit
- Pursue material savings sooner.
- What to investigate
- Qualification timing, tooling changes, and disposition of existing stock and work in progress.

Phase into a later build
- Potential benefit
- Continue current builds while preparing the change.
- What to investigate
- The changeover point and control of old and new configurations during the transition.

Keep the current design
- Potential benefit
- Avoid the immediate changeover burden.
- What to investigate
- Whether production stability justifies deferring the potential savings.