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You are here: Home / Awards and Prizes / Open Call: AI for Life Sciences Challenge (India)

Open Call: AI for Life Sciences Challenge (India)

Deadline: August 25, 2025

The Hexaware Innovation Challenge invites startups and research innovators to develop Agentic AI solutions that can redefine how clinical trials are designed, monitored, and scaled.

Clinical trials are the backbone of life sciences innovation — yet they remain complex, costly, and time-consuming. The Hexaware Innovation Challenge aims to change that.

By combining deep-tech innovation, clinical and enterprise-grade challenges, the initiative offers a unique platform to fast-track breakthroughs in clinical research workflows.

Over a month-long program, selected participants will work on real-world problem statements with access to Hexaware and IIITH’s ecosystem predominantly technical mentorship, clinical datasets, and expert guidance — culminating in a high-impact Innovation Immersion Day, where finalists will showcase their prototypes to industry leaders and stakeholders.

Focus Areas
  • They are seeking intelligent AI-agent-based solutions that address critical pain points across the clinical trial lifecycle:
    • Data Management Assistant Agent: Automate protocol-driven specifications, EDC and external data monitoring, and reconciliation
    • Central Monitoring Agent: Enable real-time, risk-based oversight across study sites
    • CDISC + TLF Automation Agent: Streamline data mapping and analytics output for regulatory submissions
    • CSR Automation Agent: Support automated clinical study reporting and digital review processes
Why Apply?
  • ₹8 Lakh PoC Grant for the winning solution
  • Access to real clinical data & Hexaware’s engineering support
  • Mentorship from IIITH faculty & industry experts
  • Showcase to healthcare & enterprise stakeholders
  • Opportunity for co-development with Hexaware
Challenge Target Group
  • Innovators working at the intersection of life sciences and AI including startups, research and corporate groups, students, and faculty — building solutions for clinical trials, pharmaceutical research, or enterprise healthcare systems.

For more information, visit CIE IIITH.

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