Cluaiz Technologies is an open-source project focused on building a cross-platform AI runtime.

Cluaiz Technologies is an open-source systems engineering team building a cross-platform, hardware-agnostic AI runtime stack. Our goal is to run heavy AI models locally on user hardware, with strict memory management and deep hardware integration, completely free from cloud reliance.

⚙️ Our Core Focus: The Inference Engine

Right now, our absolute engineering focus is dedicated to perfecting our core inference engine: cluaiz.

cluaiz is a robust, bare-metal runtime written primarily in Rust, with tight C++ FFI integrations. It acts as an execution layer that manages hardware resources and model inference across different devices. This involves handling strict memory boundaries, hardware orchestration across varied compute nodes, and ensuring cross-platform stability.

🧩 The Surrounding Ecosystem

A complete AI runtime requires more than just an inference engine. Our architecture is designed to support a complete, self-sustaining local ecosystem:

• Cognitive Memory Substrate (cluaizdb): This is not a traditional database. It is a multi-modal memory engine built to provide native intelligence directly at the storage layer. By tracking hardware-native state trajectories, it gives your local AI persistent memory and drastically reduces the need for heavy prompt engineering. Furthermore, cluaizd is capable of direct JIT (Just-In-Time) injection—intercepting the AI layer-by-layer during execution to inject logic and context, granting the model native superpowers without processing overhead.
• Native User Workspace (cluaiz-app): More than just an interface, the app is engineered to bring cloud-tier AI capabilities directly to your local hardware. Through zero-overhead IPC communication with the core engine, the app becomes a centralized operating environment. From complex coding tasks to workflow automation, it allows users to execute heavy workloads natively using local AI, providing a seamless, highly integrated ecosystem experience.
• Extensible Plugins (skills): A modular plugin layer structured to support RAG, agents, and local tool execution directly within the runtime environment.

💸 Why Sponsor Us?

SBuilding production-grade AI infrastructure requires continuous testing, benchmarking, documentation, and validation across different operating systems and hardware. We are engineering core infrastructure, not just connecting web APIs. Your sponsorship directly helps us cover:

• Diverse Hardware Testing: Ensuring stability across various platforms (Windows, Linux, macOS) and hardware constraints.
• Rigorous Stress Testing: Catching memory leaks, race conditions, and bottlenecks through continuous long-duration soak tests.
• Dedicated Engineering Time: Allowing us to focus on solving difficult architectural problems in local AI inference without distractions.

By sponsoring us, you are investing in a future where AI infrastructure and its ecosystem remain open and accessible to everyone.