CoreOps.AI has been able to close a major funding round. It has already raised $3.5 million in pre-series A investment, which is a crucial move towards its mission to simplify and fast-track the modernisation of legacy enterprise systems. This massive capital inflow will position CoreOps.AI to grow its AI-based platform and broaden its market base among major client companies that struggle with obsolete organisational models.

Funding round details

Siana Capital Management led the $3.5 million pre-Series A round. The funding round also included prominent investment by Kettlebrough and Aroa Venture Partners, as well as the contributions of other individual investors. As a measure of wider investor confidence in the company, the vision and technology of CoreOps.AI. This venture capital raise offers this startup the financial runway to propel its platform-first strategy as the choice alternative to the traditional and resource-consuming enterprise transformation strategies.

The major aim of using this new capital is well outlined in three main aspects geared to strengthen the growth curve of the company. CoreOps.AI is planning to drastically increase its technical capacity, making the main technology stay on the edge of technology and be capable of supporting large enterprise implementations.

The fund will be utilised in accelerating product development, whereby the company will have the ability to quickly introduce new features and capabilities to meet market demands. Lastly, the capital is set to undertake large-scale deployments with large enterprise clients, building the platform presence in many large organisations.

Vision and market position

In 2024, the company was founded by a team of industry veterans, Rajesh Janey, Ankur Sharma, Rajnish Gupta, and Rajiv Srivastava. The founders developed the company based on a core but strong belief about the impact of digital transformation: the process must not be defined by protracted project delivery durations, the cycle of constant consultation, and the use of huge piles of fragmented and disconnected software. Their vision is that such a traditional, slow paradigm can be substituted by an agile, artificial intelligence-led, and automation-based approach.

Its AI-driven platform is the solution that the company offers, and it is supposed to offer a unified and effective way to modernise an enterprise. Directly addressing the fundamental issues of large organisations, this platform assists them in consolidating data, automating operations, and achieving a successful modernisation of decades-old systems with a significantly greater agility than before. Through the combination of these essential functions into one, all-encompassing, AI-first platform, CoreOps.AI will significantly contribute to minimising the time and complexity involved in the frequently costly upgrades of large-scale systems.

CoreOps.AI platform has already proven that it is able to support more than 20 enterprise use cases that cut across a wide spectrum of sectors of critical importance to the economy. These are industries in which operational models may severely hamper growth and efficiency, such as in manufacturing, financial services, retail and healthcare. The platform in such environments is made to be used to simplify the complex processes and to remove the friction that often slows down the speed of innovation and competitiveness in the market.

The company strategically establishes itself as a platform-first alternative to the historically dominant, consulting-based transformation model. Long, multi-year project schedules and costlier human expertise tend to define the upgrades in this traditional model.

CoreOps.AI is the solution to this paradigm, replacing these lengthy timelines with upgrades driven by automation and the ability to integrate data smoothly, providing businesses with an immediate payoff and a more flexible operational base. The company is confidently betting that an AI-first, automation-first model is not merely a fad but the true route to the future of business operations in the world.

Conclusion

The $3.5 million raised during the pre-Series A round is a strong indication that investor confidence is in the business model of CoreOps and its technological ability to uproot enterprise software markets. The new capital has placed CoreOps.AI in a good position to build its platform, grow its team and increase its deployments, creating an AI-first, agile and modern operational future of large global enterprises.