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One Platform. Multiple Clinical Impact Points.
AI-powered eligibility, trial matching, and structured data extraction built for precision and scale.
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Clinical research is slowed down by fragmented data and manual decision pathways
Tryalis delivers medical-grade AI to make eligibility faster, more consistent, and more transparent.
Clinical trial workflows depend on accurate eligibility decisions, structured data, and timely matching. Fragmented clinical notes, inconsistent logic, and manual reviews lead to delays and missed opportunities.
Tryalis transforms these bottlenecks with explainable AI that aligns with clinical reasoning, effortlessly translating unstructured notes into actionable intelligence and trial-ready insights.
Three engines. One cohesive platform.
Purpose-built components that solve the most critical challenges in clinical research.
AI Eligibility Engine
Predicts clinical trial eligibility with medical-grade accuracy, delivering consistent and explainable assessment for trial teams.
Trial Matching Engine
Ranks relevant trials using clinically aligned logic, improving matching efficiency and supporting faster recruitment.
Variable Extraction Engine
Transforms free-text notes into structured variables, enabling traceability, analytics, and regulatory-aligned documentation.
Built on clinical evidence, reliability, and explainability
Designed for transparency, performance, and regulatory alignment, without blackbox reasoning.
Explainability first
Every output is supported by traceable AI reasoning.
Precision at scale
Enterprise grade accuracy built from clinical logic.
Inspired by actual decision pathways in oncology and trial workflows.
Aligned with real-world clinical practice
Purpose-designed for modern clinical research teams
For clinicians
For trial units / pharma
Faster eligibility reviews
Transparent and reliable reasoning
Improved confidence at point of care
Reduces cognitive load
More eligible candidates
Higher inclusion rates
Smarter feasibility and site selection
Reduced screening burden
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