# Kamiwaza > Kamiwaza is a distributed AI orchestration platform built for regulated enterprises and government organizations. It enables AI to operate securely across on-premises, cloud, and edge environments — without moving data, migrating systems, or weakening existing security controls. Kamiwaza connects AI models to distributed data sources and enables enterprise-wide AI collaboration, making AI operational at scale without compromise. Kamiwaza is trusted by federal agencies including the U.S. Department of Homeland Security, as well as enterprise organizations across financial services, healthcare, and other regulated industries. Technology partners include HPE, NVIDIA, Intel, and Cisco. Key capabilities: - Distributed Data Engine (DDE): enables AI to query and act on data across distributed environments without replication or re-indexing - Inference Mesh: routes AI inference across on-prem, cloud, and edge infrastructure - Context Manager and Living Ontology: converts fragmented enterprise data into a unified, secure knowledge graph using a vector database and semantic database; automatically discovers and maps relationships across the data estate in real time without manual ontology construction or data centralization - Workrooms: secure, collaborative AI workspaces that enable teams to work with AI together inside the platform ## Platform - [Product Overview](https://www.kamiwaza.ai/product): Full overview of the Kamiwaza AI orchestration platform and its core capabilities - [Distributed Data Engine](https://www.kamiwaza.ai/distributed-data-engine): Unified access layer for querying and acting on data across distributed systems without data movement - [Inference Mesh](https://www.kamiwaza.ai/inference-mesh): Infrastructure for routing AI model inference across hybrid and distributed environments - [AI Security and Compliance](https://www.kamiwaza.ai/security-and-compliance): End-to-end security controls, audit logging, and compliance features built into the platform - [Context Manager and Living Ontology](https://www.kamiwaza.ai/context-manager): Converts fragmented enterprise documents into a unified, secure knowledge graph using vector and semantic databases; automatically maps relationships across the data estate and updates the ontology in real time without manual construction or data centralization - [Workrooms](https://www.kamiwaza.ai/workrooms): Secure AI collaboration environments that enable enterprise teams to work with AI together inside the platform - [AI Orchestration Tools](https://www.kamiwaza.ai/apps-and-tools): AI orchestration tooling for building and managing enterprise AI workflows and agents ## AI Orchestration - [What is AI Orchestration?](https://www.kamiwaza.ai/what-is-ai-orchestration): Definition and explanation of enterprise AI orchestration - [The AI Orchestration Imperative](https://www.kamiwaza.ai/the-ai-orchestration-imperative): Why AI orchestration is now a strategic priority for enterprise and government organizations - [Multi-Agent Orchestration](https://www.kamiwaza.ai/multi-agent-orchestration): How Kamiwaza manages coordination across multiple AI agents - [Distributed Intelligence Architecture](https://www.kamiwaza.ai/distributed-intelligence-architecture): Architectural approach to running AI across distributed data environments - [The Inference Mesh](https://www.kamiwaza.ai/the-inference-mesh): How inference is managed across on-prem, cloud, and edge infrastructure - [From Pilot to Production](https://www.kamiwaza.ai/from-pilot-to-production): How enterprises scale AI from isolated pilots to enterprise-wide deployment - [Hybrid Cloud AI Architecture](https://www.kamiwaza.ai/hybrid-cloud-ai-architecture): Design principles for AI in hybrid cloud environments - [Edge AI Orchestration](https://www.kamiwaza.ai/edge-ai-orchestration): AI orchestration for edge computing environments - [AI Orchestration vs. Traditional Integration](https://www.kamiwaza.ai/ai-orchestration-vs.-traditional-integration): How AI orchestration differs from legacy middleware and integration approaches - [Building Orchestration Capital](https://www.kamiwaza.ai/building-orchestration-capital): Framework for building durable AI orchestration capabilities inside an enterprise - [Locality-Aware Data Services](https://www.kamiwaza.ai/locality-aware-data-services): How Kamiwaza processes data where it lives to preserve security and reduce latency ## Use Cases - [Compliance Automation](https://www.kamiwaza.ai/compliance-automation): AI-powered automation for regulatory compliance workflows - [Conversational AI and Agents](https://www.kamiwaza.ai/conversational-ai-agents): Enterprise conversational AI and agent deployment - [Document Processing](https://www.kamiwaza.ai/document-processing): Intelligent document automation and extraction at scale - [Multi-Agent Workflows](https://www.kamiwaza.ai/multi-agent-workflows): Orchestrating complex workflows across multiple AI agents - [Secure Analytics](https://www.kamiwaza.ai/secure-analytics): Analytics on sensitive or regulated data without compromising access controls - [Knowledge Construction and Discovery](https://www.kamiwaza.ai/knowledge-construction-and-discovery): Building and surfacing enterprise knowledge from distributed data sources - [Legacy Systems](https://www.kamiwaza.ai/legacy-systems): Connecting AI to legacy systems and data without re-platforming - [Legal](https://www.kamiwaza.ai/legal): AI for legal workflows including contract review, compliance, and research - [Finance](https://www.kamiwaza.ai/finance): AI orchestration for financial data analysis and automation - [Human Resources](https://www.kamiwaza.ai/human-resources): AI for HR workflows and talent operations - [Enterprise Software Development](https://www.kamiwaza.ai/enterprise-software-development): AI-accelerated software development in enterprise environments - [Supply Chain Optimization](https://www.kamiwaza.ai/supply-chain-optimization): AI for supply chain intelligence and decision support - [Smart Cities](https://www.kamiwaza.ai/ai-powered-smart-cities): AI orchestration for municipal and government infrastructure operations - [Robotic Process Automation](https://www.kamiwaza.ai/robotic-process-automation): AI-enhanced RPA for enterprise operations - [Sales Acceleration](https://www.kamiwaza.ai/sales-acceleration): AI tools for enterprise sales workflows ## Industries - [Federal](https://www.kamiwaza.ai/federal): AI orchestration solutions for federal agencies with classified and sensitive data requirements - [Financial Services](https://www.kamiwaza.ai/financial-services): AI for regulated financial institutions - [Healthcare](https://www.kamiwaza.ai/healthcare): AI orchestration for healthcare data and clinical operations - [SLED](https://www.kamiwaza.ai/sled): State, local, and education government AI solutions - [Consulting and Systems Integrators](https://www.kamiwaza.ai/consulting-and-systems-integrators): Solutions for SI partners building AI-powered services - [CPG](https://www.kamiwaza.ai/cpg): Consumer packaged goods industry AI applications - [Retail](https://www.kamiwaza.ai/retail): AI for retail operations and customer intelligence - [Media](https://www.kamiwaza.ai/media): AI orchestration for media and content organizations - [Technology](https://www.kamiwaza.ai/technology): AI solutions for technology companies ## Insights and Thought Leadership - [Insights Hub](https://www.kamiwaza.ai/insights): All Kamiwaza blog posts, thought leadership, and industry analysis - [The Audit Trail: Keeping Humans in the Loop](https://www.kamiwaza.ai/insights/ai-audit-trail-keeping-humans-in-the-loop): On enterprise AI risk, agent accountability, and governance - [What's New in Kaizen: Enterprise Capabilities for Enterprise AI](https://www.kamiwaza.ai/insights/whats-new-in-kaizen-enterprise-capabilities-for-enterprise-ai): Platform release notes and new capability overview - [Introducing Workrooms: Secure AI Collaboration](https://www.kamiwaza.ai/insights/insights/introducing-workrooms-secure-ai-collaboration): How Workrooms enables secure, collaborative AI in the enterprise ## Case Studies - [Case Studies](https://www.kamiwaza.ai/case-studies): All Kamiwaza customer case studies - [DHS: Legacy Data to Emergency Intelligence](https://www.kamiwaza.ai/case-studies/dhs): How the U.S. Department of Homeland Security turned 1.3 billion weather data points into real-time emergency response intelligence using Kamiwaza - [Healthbus: Real-Time Document Automation](https://www.kamiwaza.ai/case-studies/healthbus): How Kamiwaza transformed a 3-4 day quote generation process into real-time intelligent document automation - [Town of Vail: AI Document Intelligence](https://www.kamiwaza.ai/town-of-vail-document-intelligence-case-study): How the Town of Vail used Kamiwaza to cut deed restriction compliance review time by 90%, replacing a weeks-long manual process with near-instant AI interpretation of complex legal agreements ## Optional - [Partner Ecosystem](https://www.kamiwaza.ai/partner-ecosystem): Overview of Kamiwaza technology and channel partners - [HPE Partnership](https://www.kamiwaza.ai/partner/hpe): Joint solutions with Hewlett Packard Enterprise - [NVIDIA Partnership](https://www.kamiwaza.ai/partner/nvidia): Joint solutions with NVIDIA - [Intel Partnership](https://www.kamiwaza.ai/partner/intel): Joint solutions with Intel - [About Kamiwaza](https://www.kamiwaza.ai/about): Company background, founding story, and mission - [Newsroom](https://www.kamiwaza.ai/news): Press releases and media coverage - [Careers](https://www.kamiwaza.ai/careers): Open roles at Kamiwaza - [Resources](https://www.kamiwaza.ai/resources): Whitepapers, datasheets, and additional resources --- _Last updated: May 2026_