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DSW launches UnifyAI OS for enterprise AI deployment and governance

DSW launches UnifyAI OS for enterprise AI deployment and governance

Data Science Wizards has launched UnifyAI OS, an enterprise AI operating system aimed at helping companies build, deploy, and manage AI across business systems through a single layer.

The product targets a growing enterprise technology issue as companies move AI from pilot projects to production use. In many organisations, AI efforts still run through separate tools, isolated data pipelines, and vendor-controlled platforms. That often creates problems in deployment, governance, and long-term control over systems and code.

DSW said UnifyAI OS is built to bring AI workloads, governance, and operations into one system. The platform is designed to support the full lifecycle of enterprise AI, including building use cases, connecting internal systems and external AI tools, deploying AI and agent-based workloads, enforcing policy during runtime, and monitoring operations at scale.

The company said the platform is structured to let enterprises retain ownership of AI artifacts such as models, agents, workflows, and source code. It also supports deployment across on-premises, private cloud, and hybrid infrastructure, while allowing companies to choose their own infrastructure and cloud providers.

Sandeep Khuperkar, Founder and CEO, Data Science Wizards, said, “As AI scales, the traditional model of building isolated use cases and paying for each one becomes both operationally limiting and economically inefficient. Enterprises need a system that allows them to build and operate AI freely, with full ownership and without structural constraints. With UnifyAI OS, we are at the beginning of that journey, and we are committed to building it with depth, discipline, and long-term sustainability for enterprise customers.”

A key part of the platform is its system architecture, which separates control from execution. DSW said this allows policy enforcement, auditability, and runtime governance to be built into AI-driven actions rather than added later as external checks.

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