Research demo
Map a technology landscape
Build a picture of a technical field including patents and datasets, with disagreement preserved.
The challenge
Landscape reviews smooth over disagreement, which is exactly where the useful information is.
The scenario
A team entering a new technical area needs to know what is settled and what is contested.
What goes in
- Question
- The technical area being mapped.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “What is the state of evidence here?”
- “Where does the field disagree?”
- “What does the patent landscape look like?”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Gather sources
SourceCollect publications, patents and datasets.
Extract claims
ObservedRecord what each source actually claims.
Preserve disagreement
AI-inferredKeep contested findings contested in the output.
What you get
The shape of what comes back — not a promised result.
Landscape map
AI-inferredEstablished and contested findings with sources attached.
Why it matters
- Disagreement visible
- The parts that matter are not smoothed away.
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Want to try this with your own work?
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