Blog
Data & AI, from architecture to application.
From the lakehouse to enterprise RAG, from AI agents to governance: modern enterprise Data & AI architectures, and how Kauzas approaches these problems.
On-premise AI
On-Premise AI Platform: Run AI on Your Own Infrastructure
Using enterprise AI does not mean you have to send your data to general-purpose AI services outside your organization.
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Enterprise RAG
Enterprise RAG: AI That Reaches Enterprise Data With Permission
Retrieval-augmented generation (RAG) is an AI architecture that lets large language models answer using an organization's own knowledge sources rather than only what they learned during training.
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AI agent governance
AI Agents Reach Enterprise Data With Permission
Unlike AI applications that only answer questions, AI agents can interact with enterprise systems, use tools, query data and carry out defined tasks.
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Data lakehouse
The Data Lakehouse: One Data Layer for Modern Data and AI
The architecture that lets analytics and AI work against one data layer, rather than copying the data into a new platform for every new need.
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Open data lakehouse
An Open Data Platform Designed to Reduce Vendor Lock-in
An enterprise data platform is infrastructure that stays in use for years. Over that time data volumes grow, use cases change, and new analytics, machine learning and AI technologies arrive.
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Kubernetes Data & AI
Kubernetes Data & AI: One Platform Model, Different Infrastructure
Kubernetes was long seen as the layer applications run on. It has become the layer data and AI workloads run on too.
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Data residency and AI
Enterprise AI With Data Kept in Türkiye
Using enterprise AI does not require sending company data to AI services outside Türkiye.
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Data sovereignty
Data Sovereignty: From the Location of Data to End-to-End Control
One question has sat at the centre of enterprise data strategy for a long time: where is our data held? It has lost none of its importance. In finance, the public sector, healthcare and energy in particular — wherever regulation, security or sensitive data set the terms — which country or region the data sits in is a serious architectural criterion.
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Kauzas Data Platform
You set the physical boundaries of your data, too.
Kauzas Data Platform lets you place your enterprise data infrastructure in the environment you choose. Its Kubernetes-based architecture runs lakehouse, data mesh and data processing workloads in AWS Local Zone İstanbul, the data center of your choice, or on-prem — and the organization decides where the data and control layers sit.
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Kauzas AI Platform
Enterprise AI that works inside your organization's permission boundaries.
Build enterprise search, AI assistants and agents over the data you already have. Manage user, agent, tool and data-source permissions from one place.
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