Materials demo
Screen candidates against target properties
Assess every candidate the same way and rank with confidence bounded by method.
The challenge
Candidates get assessed inconsistently, so the ranking reflects method rather than merit.
The scenario
Fifteen candidates need comparing on one basis before anything is ordered for testing.
What goes in
- Candidate materials
- The set under consideration.
- Targets
- Required property ranges.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Screen these against my targets.”
- “Which values are least certain?”
- “Rank these on one basis.”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Apply one method
ObservedAssess every candidate identically.
Rank with confidence
AI-inferredOrder candidates, bounding confidence by method.
What you get
The shape of what comes back — not a promised result.
Screening result
AI-inferredRanked candidates with method and confidence per value.
Why it matters
- Comparable results
- Ranking reflects properties rather than assessment method.
Related demos
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
Materials
Screen for what can actually be made
Include producibility in the initial screen instead of discovering it after selection.
3 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.