Built for complexity, designed for clarity. Kamiwaza helps your business — and your data — flow forward. No bottlenecks, no system overhauls. Just AI that keeps pace as you grow.
AI orchestration shouldn’t mean centralization. With Kamiwaza, it doesn’t. Our multi-site intelligence and distributed AI inference mean you skip costly, complicated centralization.
Kamiwaza’s AI-powered orchestration engine uses parallel processing to search your data sources for requested information — and intelligently aggregates inferences to produce one clean, accurate response. Whether you’re looking for on-premise Gen AI, a hybrid AI infrastructure, or you’re fully operating in the cloud — Kamiwaza’s locality-aware data engine goes where your data lives.
As your business (and your data) grows, Kamiwaza grows with you. Our Docker-based, loosely coupled architecture means you scale without getting tangled in complexity. Just one API, SDK, and shared context to keep everything moving smoothly.
Whether you’re using our low-code UI or going full custom AI app — get the flexibility to move fast and stay in control.
To use Kamiwaza, you need the following:
You can swap out packages with code — but by default, we use the following:
Kamiwaza can be used on Linux 22.04 LTS with Ubuntu (primary) and macOS 12.0 or later (community edition only).
Kamiwaza is hardware-agnostic. This means you can use any hardware or architecture you’d like, including:
Kamiwaza uses a REST API — so you can use any language, whether that’s Python, C++, Java, PHP, Typescript, C#, Bash, and so on.
You can get started with Kamiwaza directly through us, or through your cloud provider’s marketplace (Azure, Google Cloud, and Amazon Web Services (AWS)). Kamiwaza can be used in our low-code UI or in your custom AI app via our REST API.
Detailed installation steps are available in our docs.
Kamiwaza works with large language models (LLMs) by using Hugging Face to dynamically fetch, load, and manage any open-source or custom model you choose. Because Kamiwaza connects with Hugging Face, you can discover and connect to it just like any other model — then use its standardized APIs to pull in models (including Qwen or Llama) on demand.
Once loaded into Kamiwaza’s orchestration engine, LLMs can be combined, version-controlled, and scaled across environments. So you have the flexibility to pick the fastest, most accurate, or most private model for each task — without getting locked into a single provider.
Kamiwaza supports on-premise, cloud, hybrid, and edge AI deployment.
Kamiwaza has direct access to your enterprise’s data, whether that’s on-premise in a data center or in the cloud. But we never transfer or move your data across the internet — even as our AI-powered interference engine parses through databases to find information. Only inferences (answers) are exchanged and compared, keeping your actual data safe and secure.
Kamiwaza fits into your existing DevSecOps processes. We follow all security and single sign-on (SSO) protocols set by your organization, including SAML AI integration, OAuth, and OpenID Connect. These protocols apply to the sharing of inferences, too.
Reach out to schedule a demo, complete an architecture review, and get started.
