In a significant development for India’s enterprise technology landscape, Noida-based CoreOps.AI has secured $3.5 million (approximately ₹29 crore) in a Pre-Series A funding round. The investment was led by Siana Capital Management, with participation from Kettleborough, Arora Venture Partners, and a syndicate of individual investors. This strong vote of confidence underscores the growing market demand for intelligent automation solutions that go beyond simple task automation to modernize the very core of enterprise operations.
The Problem: The Invisible Drag of Legacy Operations
For large enterprises in sectors like manufacturing, finance, and logistics, growth often leads to operational complexity. Legacy systems, siloed data, and manual, repetitive workflows create a massive drag. This leads to:
- High Operational Costs: Inefficient processes consume disproportionate human and financial resources.
- Slow Response Times: Inability to quickly adapt to market changes or internal issues.
- Dependency on Tribal Knowledge: Critical processes reliant on a few key individuals, creating business risk.
- Delayed Digital Transformation: Modern customer-facing applications are built on top of a creaking, outdated operational foundation.
The CoreOps.AI Solution: AI as the Central Nervous System
CoreOps.AI positions itself not as a point solution, but as a holistic platform that acts as an intelligent central nervous system for enterprise operations. Its solutions span three critical, interconnected domains:
- AI-Powered Automation: Moving beyond robotic process automation (RPA), it uses AI to handle unstructured data, make contextual decisions, and manage complex, end-to-end workflows that require judgment and learning.
- AIOps (Artificial Intelligence for IT Operations): Applying AI to IT infrastructure and application management to enable predictive maintenance, automate incident response, and ensure system reliability and performance—a crucial need in today’s always-on digital economy.
- Edge Intelligence: For industries like manufacturing and logistics, processing data at the “edge” (closer to the source, like on a factory floor) is critical for real-time decision-making. CoreOps.AI‘s solutions bring AI directly to these operational frontiers.
By integrating these capabilities, the platform promises to streamline operations, reduce costs, and accelerate secure, scalable digital transformation from the inside out.
The Fuel for Growth: Scaling a Vision for Enterprise AI
The fresh $3.5 million in capital will be strategically deployed to scale this ambitious vision. The funds are earmarked for:
- Engineering Team Expansion: Attracting top-tier talent in AI, machine learning, and enterprise software to enhance the platform’s capabilities.
- Product R&D Enhancements: Doubling down on innovation in core areas like predictive analytics, autonomous workflows, and edge computing integrations.
- Global Scaling: Expanding the company’s reach beyond India to serve large multinational enterprises, positioning it as a global competitor.
The Market Context: Riding India’s $17B+ AI Wave
CoreOps.AI‘s rise is perfectly timed with the explosive growth of India’s AI market, projected to surpass $17 billion and fueled by the national IndiaAI Mission. The Atmanirbhar Bharat vision further amplifies this, creating a push for homegrown, deep-tech solutions that can empower Indian enterprises to become globally competitive.
The company is entering a competitive space with giants like Workday and Deltek, but it is doing so with a sharp focus on the operational layer—the complex, backend workflows that these broader platforms often don’t fully address. This “AI for Ops” niche represents a massive, underserved opportunity.
A Founder-Led Vision with Deep Expertise
The credibility of CoreOps.AI is significantly bolstered by its founding team. Comprising serial tech CEOs with proven track records, they bring not just technical knowledge but a deep understanding of enterprise pain points, sales cycles, and what it takes to build and scale a B2B software company. This experience is invaluable when selling complex, high-value solutions to large, risk-averse corporations.
As CEO Rajiv Srivastava stated, “This funding accelerates deployments that cut operational costs and speed up digital transformation for enterprises.” This focus on tangible ROI is exactly what the current enterprise buying environment demands.
Conclusion: Seizing the Edge in the Enterprise AI Race
The successful Pre-Series A round for CoreOps.AI is a testament to the maturing Indian enterprise tech ecosystem. It shows that investors are backing startups that move beyond replicating global SaaS models to solve complex, high-stakes problems for the largest companies in the world.