BioDiscovery demo
Decide which candidates earn bench time
Rank candidates against stated criteria and record why each was kept or dropped.
The challenge
Prioritisation happens in a meeting and the reasoning is lost by the next one.
The scenario
Twelve candidates, capacity for three, and a decision that will be questioned in a month.
What goes in
- Candidate set
- The molecules or structures under consideration.
- Criteria
- What the programme is optimising for.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “Rank these candidates against my criteria.”
- “Why was this one dropped?”
- “What would change this ranking?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Score against criteria
ObservedAssess each candidate on the stated properties.
Rank with confidence
AI-inferredOrder candidates, bounding confidence by evidence.
Record the reasoning
SourceKeep why each candidate was kept or dropped.
What you get
The shape of what comes back — not a promised result.
Ranked shortlist
AI-inferredCandidates ordered with the reasoning for each position.
Why it matters
- Defensible prioritisation
- The reasoning survives the meeting.
Related demos
BioDiscovery
Analyse structural features against a target profile
Assess structural properties against what a programme actually needs.
4 minute walkthrough
- Structure Analysis
- Property Screening
- Confidence Ceilings
Molecule
Record why a candidate was deprioritised
Keep the reasoning behind each inclusion and exclusion with the programme.
3 minute walkthrough
- Property Screening
- Evidence Trail
- Confidence Ceilings
BioDiscovery
Explore a protein structure and its properties
Examine structure and known properties in one place, with the source of each value recorded.
4 minute walkthrough
- Structure Analysis
- Evidence Trail
Want to try this with your own work?
Open BioDiscovery and bring your own data. No signup is needed to read these demos.