Own Your AI. Run It Anywhere.
Deploy precision AI infrastructure that works under your terms, with complete control and zero compromises. Built differently. Delivered securely.
Table of Contents
Expert Model Architecture
Intelligent decision-making system for enterprise operations
Domain-Specific Intelligence
Instead of relying on massive general-purpose models, our architecture deploys specialized expert models ranging from 0.1B to 8B parameters. Each model is precision-engineered for specific enterprise domains:
Financial QA and compliance models
Trained on regulatory frameworks, financial taxonomies, and risk assessment protocols
Legal reasoning and citation engines
Jurisdiction-aware systems with case law integration and regulatory compliance
Healthcare diagnostic assistance
Clinical decision support with medical imaging analysis and patient record summarization
Cybersecurity threat analysis
Real-time threat detection, vulnerability assessment, and incident response automation
Document processing and summarization
Multi-format ingestion with structure-aware parsing and intelligent content extraction
Model Control Protocol (MCP)
Our proprietary orchestration layer enables sophisticated reasoning, multi-step planning, and seamless tool integration across expert models. Built on Anthropic's MCP foundation, our system provides:
Advanced reasoning and planning
Multi-step thinking processes for complex problem-solving
Tool integration framework
Autonomous selection and execution of external tools and APIs
Structured JSON outputs
Validated, fully-structured responses for seamless system integration
Agentic workflow automation
Self-directed task execution with minimal human intervention
Real-time decision orchestration
Dynamic routing between expert models based on query complexity
Infrastructure Agnostic Design
Built for real enterprise infrastructure with deployment flexibility across on-premises, cloud, hybrid, and air-gapped environments:
Zero external API dependencies
Complete self-contained operation within your infrastructure
On-premises deployment ready
Native support for corporate data centers and private clouds
Air-gapped environment support
Sovereign deployment for national security and regulated industries
Hybrid cloud integration
Seamless operation across distributed infrastructure
Edge computing compatibility
Optimized for resource-constrained environments
Data Sources
Enterprise information from various channels
Processing
Model Control Protocol, Expert Models & Agents
Outcomes
Business-critical decision making
Expert Model Specifications
Precision-engineered models delivering superior performance through specialized training and efficient parameter allocation.
Model Portfolio
USF-1 Mini (0.1B Parameters)
Ultra-lightweight architecture optimized for edge deployment and real-time inference. Ideal for IoT integration, mobile applications, and resource-constrained environments requiring sub-10ms response times.
USF Alpha (1.2B Parameters)
Specialized for document processing and structured data analysis. Optimized for financial document parsing, regulatory compliance checking, and automated report generation with 99.4% accuracy on domain-specific tasks.
USF Core (3.8B Parameters)
General-purpose reasoning engine with domain-specific fine-tuning capabilities. Supports complex multi-step workflows, advanced reasoning tasks, and cross-domain knowledge synthesis.
USF Expert (7.2B Parameters)
Advanced reasoning architecture for complex enterprise workflows. Designed for strategic analysis, predictive modeling, and sophisticated decision support systems requiring deep contextual understanding.
Performance Benchmarks
Specialized Knowledge
Domain-specific expertise vs. generalized knowledge
Accuracy
99%+ in specialized domains vs. variable performance across tasks
Computational Resources
Optimized and efficient vs. high resource requirements
Agentic workflow automation
Self-directed task execution with minimal human intervention
Real-time decision orchestration
Advanced reasoning architecture for complex enterprise workflows.
USF-1 Mini MMLU Score
90%
USF Alpha MMLU Score
85%
More specialized, effective, and efficient than traditional LLMs
MMLU Score (%)
Model Performance Comparison
US Inc Models
Other Models
USF Mini
90%
Gemini 2.0 Flash
87%
Deepseek V3
86%
GPT 4o (Nov-24)
86%
USF Alpha
85%
LLAMA 3.1405B
85%
O1 Mini
85%
LLAMA 3.3 70B
84%
GPT 4o Mini
82%
Model Control Protocol Capabilities
Sophisticated orchestration enabling complex multi-step workflows through advanced reasoning and tool integration.
Core MCP Capabilities
Advanced AI reasoning and planning
Multi-step cognitive processes for complex problem decomposition
Seamless tool integration framework
Dynamic API orchestration and external system connectivity
Structured JSON outputs
Validated, schema-compliant responses for enterprise integration
Validated outputs with reliability safeguards
Built-in error checking and confidence scoring
Multi-modal understanding
Unified processing across text, images, and documents
Enterprise Security Architecture
Zero-trust security model with complete data sovereignty and air-gapped deployment capabilities.
Privacy-First Deployment
Models deploy entirely within your infrastructure. No external API calls, no data leakage, complete client-side execution with air-gapped environment support. All inference, training, and model updates occur within your controlled environment.
Exclusive IP Ownership
Complete infrastructure and logic ownership. No external dependencies, no shared resources, no third-party exposure—everything runs within your controlled environment. Full autonomy from cloud providers and external services.
Zero Third-Party Dependencies
Complete infrastructure and logic ownership. No external dependencies, no shared resources, no third-party exposure—everything runs within your controlled environment. Full autonomy from cloud providers and external services.
Flexible Deployment
Deploy across on-premises servers, private cloud environments (AWS, GCP, Azure), hybrid infrastructures, or edge devices. Sovereign deployment support for national security requirements with full data residency control.
Platform Analytics & Monitoring
Comprehensive analytics suite for model performance, system health, and business intelligence.
Real-Time Performance Monitoring
Advanced analytics platform providing granular insights into model performance, system resource utilization, and business outcomes:
Model Accuracy: 99.7% average across specialized domains
Average Response Time: 12ms for standard queries
System Uptime: 99.9% availability with redundant failover
Cost Efficiency: 5.2x improvement over traditional AI deployments
Enterprise Intelligence Dashboard
Performance metrics: Real-time model accuracy, latency, and throughput monitoring
Resource utilization: CPU, memory, and storage optimization tracking
Predictive maintenance: Automated system health monitoring and optimization
Compliance reporting: Audit trail generation for regulatory requirements
Multi-Modal Intelligence
Comprehensive understanding across text, images, documents, and structured data for complete enterprise intelligence.
Document Processing
Advanced document analysis with support for complex financial reports, legal contracts, and technical documentation:
Multi-format document ingestion
Trained on regulatory frameworks, financial taxonomies, and risk assessment protocols
Structure-aware parsing
Intelligent table extraction, form processing, and layout understanding
Intelligent content extraction
Key information identification and categorization
Context-aware summarization
Executive summaries with source attribution and confidence scoring
Vision AI
Computer vision capabilities for image analysis, document scanning, and visual data interpretation:
Image classification and analysis
Object detection, scene understanding, and content categorization
OCR and document digitization
High-accuracy text extraction from scanned documents
Visual data extraction
Chart, graph, and diagram interpretation with data extraction
Chart and graph interpretation
Automated analysis of financial charts and technical diagrams
Structured Data Integration
Seamless integration with enterprise databases, APIs, and structured data sources for comprehensive analysis:
Database connectivity
Native integration with SQL, NoSQL, and data warehouse systems
API integration framework
RESTful, GraphQL, and legacy system connectivity
Real-time data synchronization
Live data streaming and event-driven processing
Cross-system data correlation
Unified analysis across disparate enterprise systems
USF Nexus Agents
Autonomous AI agents combining expert models with advanced decision-making capabilities for complex problem-solving.
Agent Architecture
Event response
USF Nexus Agents operate entirely within your infrastructure, providing sophisticated automation while maintaining complete data control and operational security.
Core Technology Capabilities
8 specialized capabilities designed to solve critical enterprise problems at scale.
Technical Specifications
System Requirements
- Minimum RAM: 16GB for USF-1 Mini, 64GB for USF Expert
- Storage: 50GB-500GB depending on model configuration
- Network: Optional (fully air-gapped operation supported)
- Operating System: Linux, Windows Server, containerized deployment
API & Integration
- RESTful API: Standard HTTP/HTTPS endpoints for system integration
- GraphQL support: Flexible query language for complex data relationships
- WebSocket connections: Real-time bidirectional communication
- SDK availability: Python, Java, .NET, and JavaScript client libraries
Performance Characteristics
- Latency: Sub: 100ms response times for most queries
- Throughput: 1000+ concurrent requests per second
- Scalability: Horizontal scaling across multiple nodes
- Reliability: 99.9% uptime with automatic failover
Deployment Options
- On-premises: Full control within your data center
- Private cloud: AWS, GCP, Azure with dedicated infrastructure
- Hybrid: Seamless operation across multiple environments
- Air-gapped: Complete isolation for maximum security
- Edge: Optimized for resource-constrained environments