TRYAL is an AI-enabled platform that transforms clinical study protocols into structured data, automating the creation of essential systems and documents needed for clinical trials. This technology significantly reduces the time and resources required for study startup, enhancing enrollment and data capture processes while ensuring regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial protocols are complex documents that require significant time and manual effort to translate into the systems and documents needed to conduct a study. This process can be slow, resource-intensive, and prone to errors, leading to delays in study startup and increased costs.
Solution
TRYAL is an AI-powered platform that automates the conversion of clinical study protocols into structured data, enabling the rapid creation of essential systems and documents for clinical trials. The platform analyzes protocol documents and automatically configures key solutions, such as eConsent, eCOA, and home healthcare modules. By automating study startup processes, TRYAL reduces the reliance on manual processes, accelerates timelines, and lowers costs associated with clinical technology vendors.
Target Audience
The primary target audience includes clinical trial sponsors, contract research organizations (CROs), and research institutions seeking to streamline study startup, improve data quality, and reduce costs.
Features
- AI-enabled protocol analysis and data structuring
- Automated configuration of eConsent solutions for mobile and immersive participant experiences
- Comprehensive eCOA solution for capturing regulatory-compliant study data
- Home Healthcare module for centralizing and enforcing workflows for remote study visits
- Real-time visualization of data collection solutions upon protocol upload
- Reduction of risks associated with manual processes during study startup