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Today, we’re taking the next step toward our mission with the launch of the Elicit Research Agent, an AI environment built for high-stakes decisions. You can use the Research Agent today at elicit.com or access it through API (docs.elicit.com) to bring its capabilities into your own workflows.

We built the Research Agent around five key 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.

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We created BioDecisionBench, a benchmark evaluating LLMs on reasoning failures in high-stakes pharma decisions. Elicit highlights more key considerations for decisions (76.7% coverage in Elicit Smartest mode vs. 68.8% for Claude Opus 5 Max). Read the eval blog: elicit.com/blog/biodec....

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: elicit.com/blog/introd...