Generating the first human preference datasets for robot policies in simulation with Nebius GPUs to understand which policies work best in an objective way using ELO ratings and anti-cheating measures. Leaderboard works now too but didn't have time to show it in the demo video.
Team
Placement
Injester is an AI-native engine that transforms "agent-hostile" websites into structured data interfaces. While the web was built for human attention, our…
RoboStore is a self-expanding robot agent platform that enables robots to autonomously detect their own capability gaps, search for hardware solutions in…
10 teams of LLM agents compete on a task. Each team has a randomly generated organizational genome — hierarchy, communication pattern, decision-making style…
Asha is a WhatsApp-native AI assistant that helps small home-based food businesses manage orders and remember customers — all through WhatsApp, with no apps…
robots that undestand the surroundings. location and mapping
AI Agent Red Team Security Testing Key Features Investigative Gameplay: Use your detective skills to gather evidence and piece together the puzzle. Pay close…
