The first-ever AI Agents hackathon by Rabbitron Lab — building the future of autonomous AI

A snapshot of what made this hackathon unforgettable
Highlights from two intense days of building, collaborating, and innovating












The teams that stood out with innovative AI agent solutions to real-world problems

Real estate agents fail at an 87% rate due to predatory environments with zero practical training. Juniors face deal hijacking, unfair commission splits, and hostile mentorship — hitting women the hardest.
An AI-powered training platform that lets agents fail safely against AI sharks, building confidence and skills before facing real-world challenges.

AI agents in enterprise environments are vulnerable to adversarial social engineering attacks. Organizations embed sensitive data directly into system prompts with weak guardrails that are trivially bypassed.
A security framework that protects enterprise AI agents from authority spoofing, context manipulation, and credential replay attacks.

Customer support is broken and biased against users — slow emails, repeated information, and endless arguments with support agents while companies use AI on their side.
AutoResolve: an AI agent that monitors incoming support emails, understands issues, and generates intelligent replies automatically — resolving problems with minimal user effort.
Hear directly from our jury panel about the quality of innovation on display

Hackathon Judges

Heriot-Watt University Dubai

Stateful AI Platform
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