In a significant move underscoring the growing investor appetite for enterprise AI platforms, CoreOps.AI has raised USD 3.5 million (~INR 31.48 crore) in a Pre-Series A funding round led by Siana Capital Management, with participation from Kettleborough VC, Aroa Venture Partners, and several high-net-worth individual investors.
Founded in 2024 by technology veterans Rajesh Janey, Ankur Sharma, Rajnish Gupta, and Rajiv Srivastava, the deep-tech startup is on a mission to modernise legacy enterprise systems through an AI-native, automation-led platform that reduces dependency on traditional consulting-heavy transformation models.
CoreOps.AI Platform-First Approach to Modernisation
CoreOps.AI offers a modular enterprise AI platform comprising three key components — AgentCORE, DataCORE, and CORESight.
- AgentCORE enables enterprises to deploy intelligent AI agents across ERP, CRM, and core systems.
- DataCORE streamlines data integration and cleansing, providing a unified enterprise data layer.
- CORESight powers real-time analytics and decision intelligence for business operations.
Together, these modules form the foundation of what the company describes as an “enterprise AI operating system”, designed to double the speed of modernisation, cut operational costs by up to 25%, and enable autonomous decision-making across functions.
The platform has already supported over 20 enterprise AI use cases across manufacturing, BFSI, retail, and healthcare sectors — helping organisations unify data, automate workflows, and operationalise AI at scale.
Focus on Scalability and Real-World Deployment
Unlike traditional digital transformation initiatives that rely heavily on manual consulting, CoreOps.AI’s platform-first strategy emphasises automation, integration, and measurable outcomes.
Chief Executive Officer Rajiv Srivastava remarked,
“Enterprises today need AI that is real — deployed, integrated, and delivering business outcomes. This investment enables us to accelerate our mission of building the enterprise AI operating system — helping organisations modernise 2X faster, reduce operational costs by up to 25%, and unlock autonomous intelligence across business functions.”
This pragmatic focus on real-world deployment rather than experimental pilots has attracted strong early adoption among large enterprises looking for faster, scalable transformation pathways.
Investor Confidence and Market Outlook
Dr. Archana Hingorani, Managing Partner at Siana Capital Management, expressed confidence in the company’s engineering and product maturity:
“CoreOps.AI stands out for its engineering depth and the practical value its agentic AI brings to large enterprises. The platform’s scalability and strong customer traction position it to lead the next wave of AI-driven enterprise transformation.”
The infusion of capital will be used to expand CoreOps.AI’s engineering teams, advance its product roadmap, and scale global delivery capabilities to meet the growing demand for AI-enabled modernisation. The startup also plans to expand its partner ecosystem to accelerate deployment and innovation.
Positioning Within a Rapidly Expanding AI Ecosystem
CoreOps.AI operates in a global enterprise AI market projected to reach USD 155 billion (~INR 14 lakh crore) by 2030, with India’s generative AI sector alone estimated to become a USD 17 billion (~INR 1.52 lakh crore) opportunity. The startup competes in a space populated by players such as UiPath, ServiceNow, Automation Anywhere, and emerging Indian firms like Gnani AI, KOGO, Sarvam AI, and thriwin.io — all vying to define the future of agentic AI and process automation.
With a clear focus on delivering tangible transformation rather than incremental efficiency, CoreOps.AI aims to establish itself as the intelligent core of next-generation enterprise operations. As enterprises worldwide push to integrate AI deeply into their systems, the company’s AI-native, automation-first approach could position it as a pivotal enabler of enterprise modernisation in the AI era.
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