Framework area
Data sources
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Methodology
How the radar works
Translational Deal Radar is a conservative screening layer built on public data. It does not determine freedom to operate, asset availability, patent validity, or investment merit.
The current MVP emphasizes deterministic logic, cautious language, and visible uncertainty so BD teams can prioritize what deserves expert review next.
Framework area
Clinical-trial filtering
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Modality classification
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Sponsor classification
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Patent-search strategy
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Patent-to-asset matching
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Deterministic scoring
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Confidence labels
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Manual review requirements
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.
Framework area
Key limitations
The workflow uses structured public-data rules to surface programs with translational signals that may matter for BD follow-up while preserving manual-review requirements.