Theorema provides autonomous multi‑agent workflows that turn research questions and raw R&D data into end‑to‑end analyses, literature reviews, and experimental designs for biotech, pharma, chemical manufacturing, and advanced materials. Its Data Analyst agent can ingest files, data warehouses, and notebooks to generate transparent analyses and visualizations, while the R&D Forensics tool mines “negative” or failed project data to recover usable insights and reduce repeat failures. The platform integrates with existing data stacks, helping teams increase hit rates and lower the cost per validated candidate.
Funding
Funding not disclosed
Founders
Product
Problem
R&D teams in biotech, pharma, chemical manufacturing, and advanced materials often spend significant time and budget on repetitive data cleaning, analysis, and on investigating failed projects, leading to duplicated experiments and missed insights from “negative” data.
Solution
Theorema offers autonomous multi‑agent workflows that convert research questions and raw datasets into complete analyses, literature reviews, and experimental designs. Its Data Analyst agent automates routine data cleaning, visualization, and documentation, integrating with existing file systems, data warehouses, and notebooks. The R&D Forensics agents mine terminated programs and negative datasets to extract actionable insights, reducing repeat experiments and lowering the cost per validated candidate. All processing occurs within the user’s infrastructure, and results are delivered as transparent reports and experiment proposals. By leveraging the top‑ranked agent on the BixBench benchmark, Theorema enables scientists to obtain more answers from the same R&D budget.
Target Audience
Primary customers are R&D scientists, data teams, and project leaders in biotech, pharmaceutical, chemical, and advanced materials companies seeking to accelerate analysis and extract value from failed experiments.
Features
- Autonomous multi‑agent pipelines that read literature, analyze datasets, and generate experiment plans end‑to‑end
- Data Analyst agent that performs data cleaning, creates visualizations, and documents methods without manual coding
- R&D Forensics agents that mine “negative” data from failed programs to identify salvageable insights
- Seamless integration with existing data stacks, including files, data warehouses, and notebook environments
- Fixed‑scope six‑week projects for 1–2 programs, delivering clear maps of remaining value in sunk‑cost data
- Proven performance as the #1 Data Analyst agent on the BixBench benchmark for bioinformatics analysis