ZAKO is a zero-leakage AI platform designed for secure knowledge orchestration. It enables organizations to connect internal documents, notes, databases, and APIs to local AI workflows while keeping sensitive data fully within their own environment. Built with a privacy-first architecture, ZAKO supports local AI processing, retrieval-augmented generation, and on-premise model fine-tuning. This allows teams to turn private knowledge into context-aware AI responses without relying on external data transfer or cloud-based processing. With ZAKO, businesses can prepare and organize internal data, retrieve relevant knowledge in real time, train or fine-tune models for domain-specific use cases, evaluate performance, and deploy AI systems locally. The platform is ideal for organizations that require strong data control, secure operations, and reliable AI access across internal knowledge sources.
The ZAKO system helps teams build AI assistants and knowledge workflows that are secure by design, locally processed, and ready to integrate with enterprise knowledge infrastructure.
Note: Non-Disclosure Agreements (NDAs) can also be discussed based on your project requirements.
Run AI on your own device, server, or on-premise infrastructure. Sensitive data stays within your controlled environment.
Connect documents, notes, databases, and APIs to deliver accurate answers grounded in your organization's own knowledge.
Prepare data, train models, evaluate performance, and deploy locally without exposing proprietary information.
ZAKO is designed to minimize data leakage risks by keeping knowledge processing local and controlled.
Unify fragmented knowledge sources into a secure AI layer that can support assistants, automation, and decision-making.
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