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Accelerator

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Tryal Accelerator helps CROs and biopharma companies accelerate the creation of key study documents, transforming content generation to cut costs, save time and reduce risk.  By replacing manual drafting, companies can improve document consistency, streamline mid-study changes, and accelerate the path from study startup to conduct.

AI-enabled document generation, contextual assistance, and workflow integration for clinical development teams.

Ready to redefine
your clinical trial experience?

Contact us today to get started.

At Tryal, your success is our priority. From the first conversation to the final data set, we’re committed to removing barriers and simplifying every step of the process.

Comprehensive Document Generation from Curated Inputs

Tryal’s agentic model drives the initial generation of each document, applying the right logic, context, and validation rules based on study configuration. From there, users can edit and revise content within an integrated workflow, with AI support available throughout. The result is high-quality, study-aligned output without added complexity.

Study-Specific Knowledge Base with Controlled Scope

Tryal uses a dedicated, study-specific knowledge base built only from sponsor-provided materials like documents, transcripts, and emails. This ensures outputs are grounded in approved content and avoids hallucinations. When configured, generation is limited to this curated input for precise, controlled, and traceable results.

Impact Analysis Across Documentation

When something changes, such as a visit, a procedure, an instrument, Tryal can assess and surface all related documents that may be affected. This in-progress feature gives teams a scalable way to maintain alignment, reduce rework, and avoid downstream inconsistencies as trials evolve.

Compliance
and Traceability
By Design

Inputs, actions, and outputs in Tryal are structured and traceable by default. This enables alignment with 21 CFR Part 11, supports GxP documentation expectations, and provides audit-ready transparency, even when AI is involved.

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