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AI-Led EDC Setup

Lengthy EDC database setup timelines consistently inflate study startup and consume critical operational resources.

While many teams turn to protocol-to-EDC tools to solve this issue, clinical protocols inherently lack the granular details needed to accurately define CRF page content and structure, resulting in configuration gaps and extensive manual rework.

CRScube solves this problem with a different approach: automating EDC configuration directly from CRF specification documents to achieve true speed without sacrificing accuracy.

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The right solution, at the right time

At the core of this system is a powerful dual-engine architecture combining deterministic and generative AI agents. By reading and accurately interpreting your CRF specifications, these agents autonomously build the entire database infrastructure, including the schedule of assessment, visit structures, individual CRF pages, and edit checks.

Seamless process alignment

Fits into existing workflows

Uses standard CRF specifications

Respects established roles

Core platform benefits

Accelerate EDC setup timelines

Increase system quality

Maintain complete control

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Our laser-focused determination turns visionary ideas into reality, propelling the clinical research industry forward.

The AI edge

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The CRScube difference

< 2 minutes

Autonomously processes the CRF specifications and generates the full EDC structure in less than two minutes.

2 to 4 weeks

Compresses end-to-end EDC setup and validation timelines down to 2 to 4 weeks, even for complex trials.

50% faster UAT

Accelerates user acceptance testing and validation by delivering clean, fully structured builds on the first iteration.

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