Design Smarter. Recruit Faster. Find Sites that Deliver.
Precision Trials helps you model feasibility, optimize protocols, and select high-performing sites -- powered by real-world oncology data and AI.
Build Cohorts with Real-World Fit
Use near real-time oncology RWD to define and refine ideal patient populations and inclusion/exclusion criteria using AI-agents to generate your cohorts in minutes and conduct in-depth analysis via a natural language interface. Ensure your protocol reflects actual clinical practice to reduce screen failures and accelerate enrollment.
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Model Outcomes Before You Launch
Simulate protocol performance using standard-of-care comparisons, I/E modeling, enrollment forecasts, and diversity scenarios. Identify trade-offs early and adjust design decisions before they derail timelines or feasibility.
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Find Sites That Deliver Results
Recommend a site plan that aligns with patient volume, diversity goals, and recruitment speed. Pinpoint high-performing, high-diversity locations using eligibility forecasts and historical performance data.
Adapt Early. Avoid Trial Delays.
Track shifts in standard of care, prescribing behavior, and new research to anticipate the need for protocol amendments. Enable smarter, lower-cost trial adaptations by responding to real-world changes before they impact timelines.
Precision Trials Value & Impact
Reduction in Unplanned Study Amendments & Associated Delays
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Reduce substantial study amendments in your Phase II and Phase III studies by 50%
- Eliminate 3+ months of amendment-related delays per study, reducing trial timelines and reducing unexpected budget overruns
Improved Enrollment Performance
Reduce non-productive sites by 25%, reducing per patient costs by 10%+ through more productive per-patient spend on effective and underperforming sites
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Shorter, More Reliable Study Timelines
Reduce study timelines through selection of better, more performant sites reducing the need to execute a trial as long as otherwise would be necessary – or with as many sites as necessary
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Accelerated Time to Commercial Launch
Reduce trial design, initiation, and execution timelines to get therapies to market 3-9 months faster, pulling revenue forward and getting therapies to patients faster.
Core Capabilities Driving Impact
Cohort Builder Agent
Read I/E Criteria in Natural Language Form
Cohort Exploration Agent
Disease Prevalence
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Site Selection Agent
Study Enrollment Model Based Upon Site Recommendations
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Study Design Agent
Standard of Care to Study Design Alignment Analysis
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Who Will Benefit?
Clinical Development
Clinical Development leads initial evidence planning, including eligibility criteria selection and clinical study design based upon research to date. They are responsible for ensuring that the criteria align with program objectives and the target patient population.
Clinical development scientists have expertise in the disease being studied, the investigational treatment, and scientific and regulatory requirements. They are best positioned to balance safety, scientific goals, and feasibility when developing inclusion and exclusion criteria.
Clinical Operations
Clinical Trial Operations plans, implements, manages, and executes the clinical trial process from start-up or close out, focusing on the operational execution of the clinical study designed by Clinical Development, and refinement of the study design to support optimization of its execution based upon the operational realities of conducting a clinical study.
After design, the Clinical Trial Operations team supports and manages the execution of the actual clinical trial from start-up through close-out and completion.
