Rank warehouse candidates for review.
Autonomous IP Generator
Score candidate compositions simultaneously on thermodynamic stability, synthesis feasibility, supply chain risk, and patent whitespace — then surface the highest-value candidates for expert review. Endpoint: GET /v1/discovery/autonomous-ip.
Key outcomes
What goes in
Inputs this feature expects
- Target application domain (battery, catalyst, semiconductor, etc.)
- Optional element constraints or budget restrictions
- Existing portfolio context for overlap avoidance
What comes out
Outputs your team can act on
- Ranked candidate materials with compound IP scores
- Suggested composition families for IP counsel review
Workflow
How teams use Autonomous IP Generator
Define the invention space
Specify the target domain, excluded elements, and IP objectives for the campaign.
Score across all four axes
Stability, synthesis, supply chain, and patent whitespace are evaluated simultaneously to surface the strongest IP-exploration candidates.
Review the top-ranked candidates
The top-ranked candidates come with composition family suggestions and supporting evidence from the warehouse.
Best fit
Where this feature fits best
- IP teams running proactive invention mining campaigns
- R&D programs building a patent portfolio around discovered materials
- Technology transfer offices evaluating new filings
Related features
More in Search & Discover
Formation Energy Predictor
A gradient-boosted model that ranks candidate chemistries for formation energy and relative stability before you spend simulation budget, falling back to warehouse DFT values when the model is unavailable. Performance on novel compositions may vary.
Cross-Source Confidence
Scores from 0-1 based on agreement across every indexed source that reports the formula.
Similarity Search
Find materials like NMC811 but without cobalt using compositional and property context.