• On-premises deployment options for sensitive data environments
• End-to-end encryption for data in transit and at rest
• Role-based access control with granular permissions
• Audit logging and compliance reporting capabilities
• Support for air-gapped environments where required
• Integration with existing IAM systems

• Customizable multi-LLM pipeline architecture
• Support for both open-source and proprietary models
• Fine-tuning capabilities for domain-specific applications
• Model versioning and performance monitoring
• Automated model retraining workflows
• Fallback mechanisms for system reliability

• REST API interface for seamless integration
• Support for common enterprise protocols (SOAP, gRPC, WebSocket)
• Configurable webhook system for event-driven architectures
• Flexible data ingestion pipelines
• Custom connector development framework
• Integration with legacy systems through adaptable middleware

• Horizontal scaling capabilities for high-volume processing
• Distributed processing architecture
• Configurable resource allocation
• Load balancing and failover mechanisms
• Performance monitoring and optimization tools
• SLA management and reporting

• Support for structured and unstructured data sources
• Automated data validation and cleansing
• Configurable data retention policies
• Data lineage tracking
• Version control for processed documents
• Support for both SQL and NoSQL databases

• API rate limiting and quota management
• Comprehensive logging and monitoring
• Automated backup and disaster recovery
• Development, staging, and production environment management
• Change management workflows
• Technical documentation and API specifications