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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/KamiwazaAI
KamiwazaAI

KamiwazaAI

Founded 2023

Orchestrate artificial intelligence models and agents across distributed enterprise data without moving files

You can use Kamiwaza to run and coordinate artificial intelligence models directly where enterprise data resides across clouds, on-premise servers, and edge devices. It connects your data and AI models without requiring file migration, duplication, or reformatting. You can build living ontologies that map business relationships and policies in real time, preventing hallucinations. The system enforces relationship-based access controls at execution time, ensuring automated agents only complete actions that the requesting user is cleared to take. Every query and operation remains auditable inside your security perimeter.

What KamiwazaAI does

Query distributed databases without replicating data setsConstruct real-time ontologies of enterprise policies and filesAssign relationship-based access controls to AI agentsDeploy AI inference workloads across hybrid cloud environmentsAutomate multi-agent document processing tasksLog agent actions and data queries for compliance auditsExecutes queries across distributed storage without moving or copying dataBuilds living ontologies to map enterprise relationships and data contextEnforces relationship-based access control directly at execution timeOrchestrates multi-agent workflows across edge, cloud, and on-premise hardwareAudits all model actions against existing enterprise security policiesMaintains an inference mesh for distributed model serving

Frequently asked

HPE, NVIDIA, Intel, NVIDIA (Hardware optimization), Intel (Hardware optimization), HPE (Infrastructure), Docker / Kubernetes, SAML / OAuth (Identity), AWS GovCloud / IL5, Open-source LLMs (Llama, etc.), Traefik (Routing)

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Kamiwaza, AI Orchestration and MLOps, Enterprise AI, distributed data, inference mesh, living ontologies, multi-agent orchestration, edge AI, ReBAC, access control, hybrid cloud, data governance