Anonymous builderabout 2 months agoJudging locked: Self-Evolving Agents Hackathon

Clarity

**Clarity** is an AI simulation platform built for **clinical researchers and health tech R&D teams** that predicts trial feasibility in minutes to prevent costly design flaws and enrollment delays.

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Start with the source code, then open the demo or video if available.

View GitHub repository
Project description
Clarity is an AI-powered simulation and workflow platform engineered for clinical trial scientists, health-tech R&D teams, and medical researchers. By combining vector-driven historical retrieval, multi-agent reasoning, automated human-in-the-loop escalation, and audit logging, Clarity turns the "black box" of study design into an agile, transparent, and data-driven process. Instead of spending weeks running fragmented simulations and manually tweaking eligibility criteria, research teams can stress-test study parameters in minutes—saving hundreds of thousands of dollars, preventing costly study delays, and bringing life-saving treatments and health technology to market faster.
Project links
Tools used
  • Actian
  • Band
  • Guild.ai
  • Pioneer
  • Replay.io
  • Senso