Navis Bio provides an AI‑augmented platform that ingests and normalizes biomedical documents—including literature, clinical trials, patents, and real‑world data—into a structured, annotated layer. Users can configure custom ranking criteria to score and prioritize indications or targets, with full traceability to source documents via an interactive web dashboard. The service is delivered on an outcome‑based pricing model for pre‑clinical biotech and pharmaceutical R&D teams.
Funding
Funding not disclosed
Founders
Product
Problem
Pharmaceutical R&D teams often struggle to synthesize vast, heterogeneous public biomedical data—literature, clinical trial records, patents, regulatory filings—into a coherent, ranked evidence set for indication prioritization and target selection. The lack of traceability and customizable ranking hampers timely decision‑making and increases reliance on costly consulting engagements.
Solution
Navis Bio delivers an AI‑augmented platform that automatically ingests and normalizes millions of biomedical documents into a structured, annotated data layer. Rule‑based orchestration ensures every extracted entity is grounded in an authoritative source, while embedded AI agents perform domain‑specific searches across PubMed, trial registries, FDA labels, patents, adverse‑event reports, and real‑world datasets. Users define custom ranking dimensions, thresholds, and regulatory‑relevant endpoints; the system then scores and ranks indications or targets by strength, recency, and relevance. Results are presented in a secure, interactive web application that supports dynamic filtering, export, and full traceability back to the original source. Typical projects are completed within four weeks, providing decision‑grade intelligence that accelerates strategic R&D planning without the overhead of traditional consulting.
Target Audience
The primary customers are pre‑clinical biotech firms and large pharmaceutical R&D organizations that need data‑driven intelligence for indication prioritization and target selection.
Features
- AI‑driven extraction agents with external tool access for literature, patents, trial registries, and real‑world data sources
- Rule‑based orchestration that enforces citation of authoritative sources and rejects unverified outputs
- Structured, normalized annotation layer linking biomedical entities to standardized disease, gene, and ontology terms
- Fully configurable ranking engine allowing users to set custom weighting, thresholds, and regulatory endpoint criteria
- Interactive web dashboard with multi‑dimensional filtering, visual trend analysis, and bulk export of ranked results
- End‑to‑end traceability: each insight links back to the original document, trial record, or patent for auditability
- Outcome‑based engagement model priced per deliverable rather than hourly consulting
- Scalable processing of >100 K documents per project with systematic quality controls against expert‑annotated reference sets