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AI has become a useful research partner. It can find information, summarize evidence, and suggest ideas. But can it help us think better? Can it help us navigate the complex nuances of high-stakes decisions? Today, we’re taking the next step toward our mission of scaling up good reasoning for... show more
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We built the Research Agent around five capabilities: Capability 1: A harness with reasoning principles Reason with greater confidence with built-in models trained on BioDecisionBench, a benchmark designed to evaluate reasoning quality and handle uncertainty around decisions in pharma.

Capability 2: Diverse data sources Make decisions based on the full picture by synthesizing evidence across scientific literature, clinical trials, patents, regulatory and commercial sources, the web, and your own internal data.

Capability 3: Decision-ready outputs Move from research to decisions in a single workflow by turning evidence into fully cited reports, tables, analyses, visualizations, slides, and documents.

Capability 4: Transparency by default Trust and defend every decision with transparent methods trail and sentence-level citations.

Capability 5: Knowledge that compounds over time Improve each decision with Projects that keeps sources, context, instructions, and outputs connected in a single knowledge base.

One of the most important new things we did was create BioDecisionBench, a benchmark specifically evaluating LLMs on reasoning failures in high-stakes pharma decisions. BioDecisionBench tests for reasoning around preclinical study design, observational study design (e.g. target trial validity), and rigorous reasoning throughout the drug development process. When we evaluate on BioDecisionBench, Elicit highlights more key considerations for decisions (76.7% coverage in Elicit Smartest mode vs. 68.8% for Claude Opus 5 Max). Read the full evaluation blog:

Early customers are already using Research Agent to prioritize indications, shape clinical strategy, design trials, develop laboratory methods, inform market entry, and strengthen patent strategy. Read the launch post and see examples of Research Agent in action:

