About & Vision
LongCat AI: AI for the Real World
Vision & Strategy
AI for the Real World. LongCat advances toward a unified world model and embodied intelligence, enabling AI to understand and interact with the physical world—connecting bits and atoms to drive an efficiency revolution.
- World Model: grounded perception, memory, and prediction
- Embodied Intelligence: task execution via robots, drones, autonomy
- Real-time Interaction: low latency, streaming multi-modal IO
- Scalable Efficiency: cost-effective training/inference at scale
Hardware + AI: Dual Strategy
AI as the brain, robotics as the legs. LongCat provides the cognitive core while embodied systems—autonomous driving, drones, and service robots—execute in the physical world, forming a multi-layer network across low-altitude, ground, and community scenarios.
- AI Brain: LongCat series
- Embodiment: drones, AMRs, autonomous delivery
- Goal: build the computing engine for the real world
Strategic Direction
LongCat is positioned LongCat as a core platform capability across three dimensions:
- "AI at work": internal productivity tools
- "AI in products": customer-facing services
- "Building LLM": infrastructure development
The expansion from dialogue to reasoning, video generation, image generation & editing, and audio processing represents progress toward world modeling and physical world simulation capabilities.
Official Resources
LongCat AI is an open-source model family focused on real-world applications — from agentic coding and reasoning to video, image, and audio generation. Explore the official channels below for models, code, and documentation.