Kris@Work, an AI-native go-to-market performance platform designed explicitly around enterprise revenue teams, has been able to raise $3 million in its seed funding round. This round of investment was funded by Info Edge Ventures, and other investors included JN Capital and Growth Advisory, which are located in Singapore.

Some of the key angel investors also contributed to the funding round. The capital injection is an important milestone in the life of the Bengaluru-based startup in its quest to transform the manner in which enterprise teams handle their sales and marketing processes in a more automated environment.

Fund utilization and effective operations

Kris@Work has the potential to succeed in the changing needs of the AI-first professional world due to the support of more established investors and a strong sense of technology vision. The newly acquired funds have a clear and strategic roadmap, which is outlined by the company. The proceeds will chiefly be used to increase its enterprise customer base as well as enhance its go-to-market partnerships, according to a press release of the firm.

The investment will assist the company in completing the development of all four stages of its platform. With the emphasis on these fundamental areas, Kris@Work will establish itself as a vital infrastructure provider of revenue teams needing high execution potential along with real-time intelligence.

Kris@Work was co-founded by Arun Singh and Ramakrishna Mallya, and was created to be a new system of work and a system of insights. The founders have used their broad experience in software-as-a-service to fill the operational loopholes that enterprise teams often face.

The platform is designed to enable these revenue teams to be more efficient by having a unified interface. This is a strong strategy because it eliminates the necessity of context-switching among various tools and lets the users stay focused on their primary goals, and the platform takes initiative to walk them through the complicated processes of sales and go-to-market.

Integrated technology and expansion plans

The platform utilizes agentic architecture and contextual artificial intelligence to deliver an entire solution to go-to-market teams. This is a comprehensive technology that encompasses the entire revenue lifecycle, such as the identification of leads, closing of deals, and the growth of existing accounts.

Kris@Work can automate routine work at scale and offer end-to-end workflow automation, meaning that teams can have high governance and still assume the benefits of real-time insights. The startup has had a wide and increasing customer base of enterprise customers across different industries that include technology, financial services, and telecommunications.

Kris@Work is one of the fast-paced sectors of enterprise AI technology that are reconsidering sales, marketing, and customer success functions in an AI-first world. Although its mission is currently focused on executing revenue, the vision of the company goes way beyond that.

The system is integrated around a modular, agentic architecture, which should be highly extensible. The company will increase this layer of execution to incorporate more functions of the enterprise within the next three years. It is aimed at ensuring that the same AI-native platform can be applied to several aspects of work so that Kris@Work could become a multifunctional tool to be used in different corporate activities.

Conclusion

The successful seed round of $3 million led by Info Edge Ventures makes Kris@Work a force to reckon with in the new enterprise solutions industry based on artificial intelligence. By integrating the different tools into one smart interface and automating the what-goes-where processes of the go-to-market mechanism, the company will be fulfilling a dire requirement of contemporary revenue teams.

As the startup continues with its development stages and widens its influence to other enterprise operations, it is likely to become central to how other organizations in the world will conduct their business operations.