NEW DELHI, INDIA / ACCESS Newswire / March 20, 2026 / A system-level approach to building, deploying, and operating AI at scale across the enterprise
Data Science Wizards (DSW) today announced the launch of DSW UnifyAI OS, an Enterprise AI operating system designed to help organizations run artificial intelligence as a governed, production-grade system.
UnifyAI OS enables enterprises to build, integrate, deploy, govern, and operate AI at scale in production while retaining full ownership of all enterprise-built artifacts and its source code, avoiding vendor lock-in, choosing their own infrastructure, and building AI-native ecosystems on their own terms.
As AI moves from experimentation into real-world execution, enterprises are increasingly relying on it to power decisions and workflows. However, most environments remain disjointed built on disconnected tools, siloed pipelines, and commercial models that become restrictive as AI adoption scales.
UnifyAI OS introduces a horizontal operating layer that spans the enterprise, enabling AI to run consistently across systems, teams, and workflows while embedding governance directly into execution.
Unlike conventional approaches, UnifyAI OS ensures that:
All AI artifacts models, agents, workflows, and associated source code remain fully owned by the enterprise
AI runs entirely within enterprise-controlled environments across on-premises, private cloud, and hybrid infrastructure
Organizations retain the freedom to choose infrastructure and hyperscalers
Enterprises can build, integrate, and evolve their own AI-native ecosystems without structural dependency
At its core, the system enables organizations to:
Build AI use cases and applications
Integrate internal systems and external AI tools
Deploy AI/ML and agentic workloads into production
Govern execution through policy enforced at runtime
Monitor, manage, and continuously operate AI systems at scale
“What’s emerging is the need for a horizontal layer that can be leveraged across the enterprise one that brings consistency, governance and continuity to how AI runs,” said Sandeep Khuperkar, Founder and CEO, Data Science Wizards.
“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.”
“This has not been an overnight journey. Over the past four years, we have evolved from building tools to frameworks to platforms while staying focused on a long-term vision of an AI Operating System. 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.”
UnifyAI OS separates control from execution through a system-level architecture where governance, policy enforcement, and auditability are embedded into every AI-driven action. This allows enterprises to operate AI systems in real time with the ability to monitor, intervene, and evolve continuously.
“The challenge is no longer building models and agents it is ensuring their execution is reliable, predictable, and governed at runtime in production environments.” said Pritesh Tiwari, Founder and Chief Data Scientist, Data Science Wizards.
“With UnifyAI OS, governance is not an external layer; it is part of how AI runs, ensuring systems remain transparent, controllable, and aligned with enterprise expectations.”
The launch reflects a broader shift in enterprise AI from fragmented experimentation to AI as infrastructure where systems must
Contact Details:
Name: Deepti Dilip
Email: [email protected]
SOURCE: Data Science Wizards
