Unlock true data meaning through unified management of 11+ data models. By integrating relational, vector, and graph data into a single cognitive framework, the system provides AI with deep semantic understanding. This ensures AI agents grasp underlying context rather than just processing bits, significantly boosting query precision and insight accuracy.

Drive faster, more stable AI Agents with a GPU-native architecture. Engineered for massive parallel processing, our system scales to hundreds of thousands of GPU threads, enabling AI to handle higher concurrency and larger context windows with lower latency. By offloading to high-speed flash, we achieve a 200× boost in search performance and 64× higher inference concurrency, delivering high-performance infrastructure at a fraction of the cost.

Empower AI with infinite memory for deep personalization. Using a proprietary distributed file system for scalable context memory including KV cache, our system gives AI agents perpetual memory with no theoretical ceiling. By turning transient interactions into persistent knowledge, agents retain long-term user history and complex context to deliver tailored, personalized services to every customer.

It offers a one-stop, intuitive interface covering the entire AI lifecycle—from knowledge engineering and fine-tuning to deployment and monitoring. This streamlines the model transition from lab to production, featuring enterprise-grade collaboration and private deployment to ensure absolute data privacy.

Features built-in large and small models (OCR, ASR, etc.), combining deep expertise in data governance and modeling across industries to achieve deep semantic parsing of data, enhancing query precision and relevance. Supports natural language to SQL/Python/API calls conversion, enabling complex data analysis without specialized programming skills, significantly accelerating business decision-making efficiency.