Operating systems have long powered the digital backbone of enterprises, managing everything from computing infrastructure to complex applications. Now, as artificial intelligence moves from experimentation to real-world deployment, a new generation of enterprise operating systems is emerging, designed specifically to run and govern AI at scale. Organisations are increasingly seeking AI system layers that can operate continuously, securely and within strict regulatory environments, turning AI into a dependable part of everyday operations.
One such system is set to enter the enterprise AI landscape soon. UnifyAI OS, an AI-native operating system, is designed to help organisations build, deploy, operate and govern AI, machine learning and agentic workloads continuously within enterprise environments. The platform is being introduced by Data Science Wizards (DSW), which plans to formally launch it in mid-March, positioning it as a governed AI operating layer for global enterprises under regulatory and operational constraints.
Unlike conventional AI platforms that function as standalone tools, UnifyAI OS is embedded within enterprise infrastructure, enabling organisations to maintain strict control over data, compliance and operational policies. A key feature is its ability to run entirely within customer-controlled environments, including on-premise systems, private clouds, and hybrid infrastructures, while retaining full ownership of models, agents, workflows, artifacts and source code, and integrating with the broader AI ecosystem without vendor lock-in.
The platform introduces governance-as-code at runtime, ensuring enterprise policies and regulatory controls remain active during execution, not just at deployment. This allows organisations to audit, trace and control AI workloads continuously, a critical requirement for highly regulated industries.
“AI is no longer experimental for enterprises. It is becoming core to how decisions are made and operations are run,” said Sandeep Khuperkar, Founder and CEO of Data Science Wizards. “This shift requires an operating system capable of governing AI at enterprise scale, not just a collection of disconnected tools or platforms.”
The system’s architecture separates control from execution, using a non-bypassable kernel to govern policy, lifecycle management and auditability, while managed runtimes execute AI models and agentic workflows within defined operational boundaries. This ensures every action is traceable and operates within enterprise-defined policies.
According to Pritesh Tiwari, Founder and Chief Data Scientist at Data Science Wizards, enterprises need AI systems that remain powerful, transparent and fully controllable. “We built UnifyAI OS to ensure organisations retain complete sovereignty over their AI systems, including what use cases they build, how those systems operate, and where their data resides,” he said.
Built for regulated sectors such as banking and insurance, the platform ensures runtime governance, compliance and auditability, while enabling enterprise-scale AI across telecom, healthcare, manufacturing, and retail. Its launch signals a new era in India’s deep-tech landscape, with foundational AI infrastructure moving beyond apps to system layers that govern AI operations globally.
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