Design clinical trials with speed and rigor
Reach confident, evidence-backed trial design decisions earlier — before protocols are finalized.
Unlearn’s Trial Planning and Simulations solution helps clinical development teams reach design decisions faster by replacing fragmented searches, spreadsheets, and one-off analyses with a single, unified AI-enabled workspace. Teams can investigate and compare trial design scenarios earlier, anchor assumptions to credible evidence, and enter governance discussions with clear, defensible rationale.
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How It Works
See how teams design, compare, and align on trial planning decisions earlier
Explore trial precedent, observed data, and simulations in a single environment
Compare endpoints, eligibility criteria, and design scenarios without building custom analyses
See how protocol choices change populations and expected outcomes
Iterate on design decisions live and understand trade-offs in real time
Preserve assumptions, evidence, and results so rationale doesn’t disappear after meetings
Product Overview
An AI-enabled system for evidence, assumptions, and trial design scenarios
Trial Planning and Simulations brings together the critical components required for early planning and design— where decisions are iterative, assumptions evolve, and rationale must remain clear and defensible across review cycles. Clinical development teams work from a shared source of truth, reducing rework and accelerating alignment.
Scout
AI-powered literature and precedent review
Seamlessly search, structure, and summarize relevant scientific and regulatory precedent from sources such as PubMed, ClinicalTrials.gov, and drugs@FDA. Scout replaces scattered searches with a transparent, shared foundation for evidence review — helping teams align on precedent in days, not weeks.
Hindsight
Historical data exploration
Explore harmonized clinical trial and real-world datasets to validate clinical and statistical assumptions. Assess population characteristics, endpoint behavior, and benchmarks using relevant historical data — grounding early design decisions in evidence rather than intuition.
SimLab
Explainable trial simulations
Automatically link, build, and compare trial design scenarios across endpoints, eligibility criteria, and sample size. Every scenario is explainable, reproducible, and grounded in historical evidence — supporting informed trade-offs before protocol finalization.
Benefits
Faster design cycles without sacrificing scientific rigor
Earlier alignment on trial design decisions
Clearer trade-offs when evaluating endpoints, populations, and sample size
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Fewer handoffs between literature review, data analysis, and simulation
Preserved decision context as designs evolve
Real-world Impact
Trial Planning and Simulations in action
Optimize study design, including endpoint, time point and eligibility strategies
Partnership: Unlearn and Trace Neuroscience Partner to Optimize ALS Clinical Trial
Whitepaper: The Hidden Bill of Inefficient Clinical Trial Design
Product Overview: Unlearn's Trial Planning and Simulations
How We're Different
Built for trial planning — and scientific oversight
Beyond document-first protocol platforms
Unlearn supports evidence review, assumption testing, and scenario comparison before designs are finalized.
Beyond siloed statistical simulation
Trial Planning and Simulations makes assumptions, inputs, and outputs visible across clinical, biostatistics, and regulatory teams earlier.
Beyond point AI tools
Unlearn links evidence, historical data, and simulations into a transparent, review-ready workflow.
Beyond downstream execution systems
Trial Planning and Simulations focuses upstream, where early design decisions matter most.
The AI partner of choice for top pharma and biotechs.