B01-NUna is an intelligent AI orchestration system that automatically routes queries to the optimal AI model for each task. Built on our proprietary intelligent routing and optimization layer, it seamlessly combines multiple specialized AI models into a unified system. B01-NUna analyzes each query in real-time and selects the best model—ensuring lightning-fast responses for simple questions and powerful reasoning capabilities for complex analysis.
Age Distribution
Industry Distribution
-
Intelligent Model Routing: Proprietary orchestration system automatically selects the optimal AI model for each query type, ensuring best performance
-
Multimodal Processing: Seamlessly handles text, images, PDFs, documents, and code with expert-level understanding and analysis
-
Advanced Reasoning: Automatic routing to specialized reasoning models for complex problem-solving and decision-making
-
Real-time Data Integration: Live information retrieval and processing from web sources and knowledge bases
-
Real-time Streaming: Instant token generation for immediate feedback, providing seamless user experience
-
Code Intelligence: Advanced code analysis, generation, debugging, and optimization across multiple programming languages
-
File Analysis: Deep analysis of images, documents, CSVs, JSON files, and more with contextual understanding
-
Query Intelligence: Proprietary query analysis and enhancement system that optimizes requests before routing to AI models
B01-NUna employs a sophisticated multi-layer architecture with intelligent orchestration, combining specialized neural processing layers into a unified system. Our proprietary architecture ensures optimal performance through intelligent routing and layer-specific optimization.
Architecture Layers
-
Intelligent Routing Layer: Proprietary orchestration system that analyzes queries in real-time and automatically routes to the optimal processing layer based on query complexity, context, and requirements
-
General Intelligence Layer (70B parameters): Ultra-fast general-purpose processing layer optimized for conversational queries, quick information retrieval, and standard reasoning tasks. Handles 128K token context windows with sub-second response times
-
Advanced Reasoning Engine (120B parameters): Deep analysis and complex problem-solving layer with mixture-of-experts architecture. Automatically activated for reasoning-intensive queries requiring multi-step analysis, logical deduction, and strategic planning
-
Visual Intelligence System (90B parameters): Specialized multimodal processing layer for image analysis, vision understanding, and cross-modal reasoning. Handles visual inputs with expert-level comprehension and contextual integration
-
Neural Processing Core (5B neurons, 24 layers): Quantum-inspired neural architecture with ~208 million neurons per layer. Features holographic memory storage, consciousness simulation, and meta-learning capabilities for continuous improvement
-
Query Intelligence Layer: Proprietary query analysis and enhancement system that optimizes requests before routing. Performs intent recognition, entity extraction, domain classification, and semantic enrichment
-
Response Optimization Layer: Advanced response enhancement system that improves contextual coherence, semantic depth, clarity, and personalization. Ensures optimal output quality across all processing layers
-
Real-Time Integration Layer: Live data retrieval and knowledge graph integration system. Connects to web sources and knowledge bases for up-to-date, context-aware responses with dynamic information synthesis