Congratulations to the winners of the GenAI Hackathon by Impetus and AWS! Stay tuned as we spotlight the winning solutions and hear from industry experts on the best practices and innovative approaches that made them stand out.
First prize: $10,000
Project: Privacy guardian agents – privacy license for codebases
Use-case: Multi-agent governance system
Second prize: $2,000
Project: GovGuard AI governance platform
Use-case: Multi-agent governance system
Third prize: $1,000
Project: Project Nexus: AI supply chain intelligence & forecasting
Use-case: Supply chain optimization using Time LLM
Get an inside look at their solutions—including the challenges they tackled, AWS GenAI tools used, and key takeaways for fellow builders—here.
Hack. Build. Win. Transform.
The GenAI Hackathon by Impetus, co-powered by AWS, has officially concluded—and the results are in! Over the past few weeks, nearly 3,000 developers, data scientists, and innovators from around the globe came together to tackle real-world enterprise challenges using the power of Generative AI.
This wasn’t just a hackathon—it was a global movement to reimagine what’s possible when AI meets intention. From privacy-focused governance frameworks to intelligent supply chain forecasting, participants delivered robust, enterprise-ready solutions that are ready for real-world impact.
The impact
- ~3,000 global registrations
- 1,077 teams attempted to build across five enterprise-focused GenAI challenges
- 33 teams awarded $300 AWS credits
- Participation from leading companies including Fidelity, JP Morgan Chase, Shell, Visa, Amazon, Starbucks, and SpaceX
The hackathon inspired builders across industries—from finance and healthcare to retail and telecom—to turn bold ideas into tangible GenAI solutions, all leveraging the AWS ecosystem.
What participants built?
Participants chose from high-impact use cases including:
- AI-driven live call insights – Building a GenAI solution to deliver real-time suggestions during live customer calls by converting speech to text and providing actionable insights from pre-trained data.
- Image generator: Synthesize and generate images – Using AI models (such as diffusion models) to convert text or abstract inputs into high-quality, contextually accurate images.
- Supply chain optimization using TimeLLM – Designing a TimeLLM-powered tool that predicts demand and optimizes inventory based on historical sales and market trends.
- Smart synthetic data generator – Building a domain-agnostic solution that intelligently generates synthetic datasets to enhance model training across healthcare, finance, retail, and more.
- Multi-agent governance system – Creating an AI-powered governance framework to ensure compliance, data privacy, and ethical AI usage through dynamic policy enforcement and comprehensive auditing.
Panel Members
Submissions were be evaluated by a panel of esteemed judges, including experts from Impetus and AWS.
Judges from AWS:
Josh Demuth
Senior Solutions Architect
Gitika Vijh
Senior Partner Solutions Architect – Data & AI
Sujit Singh
Partner Solution Architect
Dmitrii Timoshenko
Applied Scientist – Data Science and Engineering
Judge from Marsh & McLennan:
Anand Sourabh
VP, Application Development
Judges from Impetus:
Ravishankar Rao Vallabhajosyula
Senior Director – Data Science
Raghvendra Singh Dikhit
Senior Solutions Architect
Vivek Gupta
Data Scientist
Thank you!
To every participant, mentor, judge, and partner—thank you for making the GenAI Hackathon a resounding success. This is just the beginning.
Let’s keep building the future of GenAI. Together.
