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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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