What Enjamb Labs does
Enjamb Labs builds an AI-powered, agentic research workspace designed to accelerate biopharma R&D across the full research lifecycle. The platform combines autonomous AI agents with scientific tooling so researchers can move faster from initial questions through data analysis to publication.
Key capabilities
Enjamb runs comprehensive literature reviews across hundreds of millions of papers with structured analysis and source PDFs, and extracts and optimizes experimental protocols from scientific literature and institutional databases. It provides sandboxed Python and R environments with many pre-installed scientific packages, access to dozens of scientific databases spanning genomics, proteomics, and clinical trials, and bioinformatics pipelines such as scRNA-seq analysis, differential expression, molecular docking, and CRISPR design. It also supports grant discovery, manuscript drafting with journal templates, figure generation, native Word and LaTeX editing, reference management, and real-time co-editing with visible agent reasoning.
Who it's for
Enjamb targets research institutions, universities, biotech companies, and R&D teams in drug discovery. Use cases include uncovering biological mechanisms from proprietary data, shortening target discovery timelines, and streamlining grant and regulatory submissions.