
Rajiv Srivastava on CoreOps.AI’s bid to be the ‘AI operating system’ for enterprises


At a time when senior technology leaders are leaving corporate roles to build AI-led ventures, Noida-based CoreOps.AI is carving out its niche in enterprise modernisation. Founded by four industry veterans with decades of experience in the technology industry, the technology startup is positioning itself as an “AI operating system for enterprises.”
Rajiv Srivastava, co-founder of CoreOps.AI and former Redington Group and HP India head, told TechCircle that the company’s mission is to “modernise without disruption” by embedding artificial intelligence into legacy systems without requiring the costly “rip and replace” approach that has traditionally accompanied digital transformation.
“We are building an AI platform that accelerates modernisation by focusing on intelligent automation, data orchestration and legacy transformation. Our approach enables enterprises to achieve results 50% faster and at 25% lower cost,” Srivastava said.
A veteran-led venture

The founding team includes Srivastava, Rajesh Janey (former Wipro, HP, NetApp, EMC and Tech Mahindra executive), Rajnish Gupta (formerly with HP, Microsoft and Zebra Technologies), and a US-based technologist, Ankur Sharma, who earlier founded Taxspanner and also served at Intel and Mode Mobile in senior positions.. Together, the quartet brings decades of experience straddling technology, product, sales and customer engagement.
Their collective belief: artificial intelligence represents the most profound shift in technology since the advent of cloud computing. “We saw the internet boom at the start of the century, the rise of cloud computing and SaaS, and now we’re in the AI era,” Srivastava noted.
The AI play
The company launched its flagship Agentic AI platform globally in July, a move Srivastava describes as phenomenal for a startup of its age. The platform allows enterprises to build AI agents that can be applied across industries, cutting the time to deployment by half.

While the technology is industry-agnostic, CoreOps.AI has chosen to focus initially on healthcare, retail and manufacturing, with particular emphasis on supply chain automation and sales productivity. “The beauty of a platform is that it lends itself to diverse use cases. But early specialisation helps in building depth, and we have chosen these three industries to start with,” Srivastava explained.
Within naming any company, he said, a Big Four consulting firm engaged CoreOps.AI to optimise workflows in its tax division, where customer GST queries often took between 1.5 and 10 days to resolve. With the company's agentic AI platform, response times dropped to about 10 minutes, while query handling costs were reduced by nearly 85%.
Differentiation and competition
India has seen a flurry of high-profile AI ventures launched by former corporate leaders, including CP Gurnani and others. But Srivastava believes CoreOps.AI's differentiation lies in its platform-led approach.

“Most players are building sector-specific AI applications. We have built a repeatable, interoperable and cost-optimised platform that allows us to create AI agents faster, across industries, using open source tools and working seamlessly with AWS, Azure or Google Cloud,” he said.
The company currently employs about 70 professionals—one of the largest dedicated AI teams in the country, according to Srivastava—and continues to expand its product engineering strength.
Security-first design
To address issues around its clients’ data security and compliance in AI deployments, the startup has built a multi-layered governance framework that incorporates role-based access, human-in-the-loop checkpoints for high-risk decisions, audit trails, and sandbox environments.
The platform is also aligned with compliance standards such as GDPR, SOC-2 and ISO 27001. “Security is the number one gating factor for enterprise adoption. Every action on our platform is auditable, reversible and policy-driven,” Srivastava said.
Road ahead

Looking ahead, CoreOps.AI plans to expand its product suite, broaden industry coverage and establish itself as a “reference platform” for enterprise AI globally. The long-term vision, Srivastava said, is to become the default modernisation platform for enterprises worldwide.
“Our ambition is to build a world-leading AI company from India. In the next few years, we want to create an ecosystem of 10,000 AI developers and 1,000 enterprise customers globally,” he added.
Srivastava is also bullish on the broader AI-led transformation of enterprises. He foresees a near future where digital agents work alongside human teams, industry-specific AI specialists emerge, and productivity surges across sectors—from healthcare to legal services.
“We are shaping our company even as the future is being shaped. Talent will be the key differentiator, and our goal is to be a company that is not just a technology leader but also a great place for employees, customers and partners,” he said.