Materials demo
Screen for what can actually be made
Include producibility in the initial screen instead of discovering it after selection.
The challenge
Materials are chosen on properties and rejected later for manufacturability, after time is spent.
The scenario
A shortlist looks excellent on paper and two of the three cannot be produced at volume.
What goes in
- Shortlist
- Candidates that passed property screening.
- Production constraints
- Volume, process and tooling reality.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Which of these can be produced at volume?”
- “What process constraints apply?”
- “Why was this one rejected?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
State constraints
SourceRecord the production reality candidates must fit.
Assess producibility
AI-inferredScreen candidates against those constraints.
What you get
The shape of what comes back — not a promised result.
Manufacturable shortlist
AI-inferredCandidates that survive both property and production screening.
Why it matters
- Fewer late rejections
- Producibility is a screening criterion, not a later discovery.
Related demos
Materials
Screen candidates against target properties
Assess every candidate the same way and rank with confidence bounded by method.
3 minute walkthrough
- Property Screening
- Confidence Ceilings
- Evidence Trail
Materials
Find candidate materials for a requirement
Search for materials meeting stated property targets, with the basis for each value recorded.
4 minute walkthrough
- Property Screening
- Evidence Trail
Robotics
Plan a task, bounded by the safety plane
Turn a described goal into a task plan that the deterministic safety plane must accept before it runs.
4 minute walkthrough
- Deterministic Safety Plane
- Deterministic Policy Engine
- Evidence Trail
Want to try this with your own work?
Open Materials and bring your own data. No signup is needed to read these demos.