One platform for the drug development pipeline.
End fragmented data and manual workflows.
MIT Yale
How Frontwind Works
A system of agents for the drug development pipeline.
We're building specialized AI agents that work together. Each module tackles a key biopharma workflow, significantly reducing the time and effort needed to push an asset from discovery to commercialization.
Competitive Intelligence Module
Competitive Landscaping
What drugs and companies are on this target? Surface every asset — including programs hiding in conference abstracts, patents, and Chinese-language sources.
Patent Mining
Cut through noise in patent databases. Highlight the filings that affect freedom-to-operate and competitive positioning.
Alerts
Monitor competitors, targets, and modalities continuously. Get digests of the changes that matter to your portfolio.
Target Discovery Module
Target Prioritization Agent
Rank biological targets by disease relevance, competitive density, druggability, and IP landscape — synthesizing evidence that would take weeks to assemble manually.
Assay Development Agent
Design and optimize assay protocols by searching prior literature, internal data, and validated methods — reducing trial-and-error in the lab.
Clinical Trials — Smart Data Capture
Less Burden
EHR-to-OMOP pipeline eliminate duplicate entry; AI flags missing fields in real time.
Better Data
AI extracts unstructured notes to surface disease comorbidity signals.
Faster Evidence
AI matches RWD cohorts to trial criteria — label expansions without new RCTs.
Contact
Talk to us about a pilot.
We're actively working with biopharma teams who need comprehensive competitive intelligence and are building toward a full AI-native workflow. We'll show you on your next deal.