Plex provides a data‑first platform that indexes billions of structured biomedical data points—genomics, proteomics, clinical trials, and literature—into a queryable knowledge graph. Researchers can ask natural‑language scientific questions and receive evidence‑backed answers scored across seven dimensions with source traceability, along with chemical‑intelligence tools and secure integration of proprietary data. The system generates structured deliverables such as Target Evaluation Reports and Biomarker Panels to support data‑driven R&D decisions for pharmaceutical and biotech teams.
Funding
Funding not disclosed
Founders
Product
Problem
Pharmaceutical and biotech researchers often struggle to integrate and interpret vast, heterogeneous biomedical data—genomics, proteomics, clinical trials, and literature—to identify viable drug targets, biomarkers, and competitive insights. Existing AI tools lack traceable, evidence‑based answers and cannot securely incorporate proprietary experimental data, leading to uncertain R&D decisions.
Solution
Plex provides a data‑first platform that indexes billions of structured biomedical data points into a queryable knowledge graph. Users pose natural‑language scientific questions, and the system retrieves and scores evidence across seven evaluation dimensions (biology, genetics, druggability, safety, clinical signal, competitive landscape, and proprietary data concordance). Answers include confidence scores, source citations, and chemical‑intelligence tools for structure‑aware analysis. Internal experimental data can be uploaded securely and remain within the user’s environment, enriching the analysis without leaving the organization. The platform delivers structured deliverables such as Target Evaluation Reports, Biomarker Panels, and Competitive Intelligence dashboards, enabling evidence‑backed R&D decisions.
Target Audience
Primary customers are R&D teams at pharmaceutical and biotechnology companies that need data‑driven target identification, biomarker discovery, and competitive intelligence for drug development programs.
Features
- Queryable knowledge graph containing billions of genomics, proteomics, clinical trial, and literature data points
- Evidence scoring engine that quantifies support across seven dimensions with full source traceability
- Secure integration of proprietary experimental data that never leaves the user’s environment
- Natural‑language question interface that understands both biological and chemical context
- Built‑in chemical intelligence tooling for structure‑aware compound analysis
- Automated generation of structured reports (Target Evaluation Report, Biomarker Panel, Competitive Intelligence) with PDF export
- Real‑time landscape analysis of competing programs, MOA overlap, and patent activity