Six pillars of enterprise AI infrastructure, designed for resilience and sovereignty
Multi-model orchestration engine. Route requests across 22+ models with automatic fallback chains and load balancing.
Knowledge graph infrastructure. 5600+ vector embeddings with semantic search, relationship mapping, and real-time updates.
Zero-trust security architecture. Every request authenticated, every action audited, all data encrypted at rest and in transit.
Observability and monitoring. Real-time fleet health, performance metrics, and intelligent alerting across all infrastructure.
Analytics and intelligence. Usage patterns, model performance, cost optimization, and predictive insights.
Multi-channel integration hub. 10 communication channels unified under a single API with consistent behavior.
Everything you need to build, deploy, and scale AI-powered applications
Multi-model conversational AI with context management, streaming responses, and intelligent routing. Support for GPT-4, Claude, Llama, and 20+ open models.
Build knowledge graphs that understand your domain. Automatic relationship extraction, semantic search, and intelligent data connections.
Orchestrate complex AI workflows with drag-and-drop simplicity. Chain models, tools, and integrations into powerful automation sequences.
Deploy, monitor, and optimize your AI fleet. Support for quantization, fine-tuning, and distributed inference across heterogeneous hardware.
Extend AI capabilities with custom tools and integrations. 270+ built-in tools plus support for custom function calling and MCP servers.
Enterprise-grade administration with RBAC, audit logs, usage analytics, and granular permission controls. SOC 2 ready.
Built on foundations that scale from prototype to planet-scale deployment
Every model runs locally or on your infrastructure. No hidden costs, no surprise bills, complete budget predictability.
Data never leaves your network without explicit permission. Full offline capability, no internet dependency for core operations.
Works with any model format: GGUF, ONNX, MLX, vLLM. Seamlessly mix proprietary and open models based on your needs.
Add nodes to your fleet without architectural changes. Linear performance scaling from single machine to data center.
Built for GDPR, HIPAA, and SOC 2 compliance from day one. All sensitive operations happen on your hardware.
Core platform is open source. No vendor lock-in, full visibility into how your AI infrastructure operates.
Deploy AI-powered analysis without exposing sensitive financial data to third-party APIs. Complete audit trails and compliance-ready architecture.
HIPAA-compliant AI for clinical decision support, medical imaging analysis, and research without patient data ever leaving your infrastructure.
Classified and sensitive operations with air-gapped deployment capability. FedRAMP and DoD IL-5 compatible architecture.