Features
Raw radar output as imagery and point clouds
Generative simulator for synthetic raw radar data
Integration with digital twin world models
Scene augmentation: add objects, change weather, modify behavior
Closed-loop evaluation for driving policies
Real-world data collection via vehicle-mounted radar
Edge case generation for adversarial scenarios
Designed for end-to-end neural network training
Autonomous strategic report generation (Sakana Marlin)
Multi-agent LLM orchestration matching frontier models (Fugu Ultra)
Recursive Self-Improvement (RSI) Lab for autonomous AI research
Conductor system for natural language agent orchestration
Japan-based data residency and export control compliance
Finance multi-agent proposal generation with SMBC Group
AI-powered information analysis with DEEP DIVE
CoffeeBench benchmark for LLM agents in multi-agent economic environments
Autonomous model orchestration avoiding export control risks
Research-stage speech-to-speech AI with KAME architecture
