Kris@Work Secures $3 Million Seed Funding to Innovate AI-Driven GTM Execution Platform

Kris@Work Secures Seed Funding



Kris@Work, a pioneering platform designed to enhance the Go-To-Market (GTM) strategies for enterprise revenue teams, has announced a successful round of seed funding amounting to $3 million. This investment was primarily spearheaded by Infoedge Ventures, alongside contributions from JN Capital Growth Advisory based in Singapore and several angel investors.

Founded by a team of seasoned professionals from the SaaS industry, Kris@Work is crafted to serve as an integrated solution that minimizes reliance on multiple isolated tools that various sales, customer success, support, and revenue operations teams typically employ. The co-founders Arun Singh and Ramakrishna Mallya, complemented by Chief Product Officer Ananta Joshi, established Kris@Work with a vision of synergizing the efforts of GTM teams under a single comprehensive platform.

Since its inception, Kris@Work has made remarkable progress, moving from the initial lines of code to securing its first enterprise agreement within just seven months. This rapid advancement showcases a growing demand for AI-native execution platforms, particularly in a market that is now flooded with fragmented SaaS solutions.

The company's objective with this funding is multi-faceted. They plan to broaden their customer base within enterprises, bolster partnerships for market entry, and finalize developmental stages across four key phases of their platform. These phases will focus on deeper automation, orchestration among multiple agents, and scalable deployments suitable for enterprise needs.

Arun Singh, CEO and Co-Founder of Kris@Work, pointed out the significant challenges posed by utilizing a myriad of disconnected SaaS tools, leading to an urgent need for a new system that addresses these inefficiencies. Singh emphasized, "Teams can greatly benefit from a unified work structure that mitigates data silos and accelerates operational efficiency."

Kitty Agarwal, a partner at InfoEdge Ventures, explained the predicament many Sales and Revenue teams face today. She noted that the growing number of disconnected solutions has led to what can only be described as a legacy SaaS fatigue, which ultimately hampers productivity. Agarwal believes that as sizable language models evolve, the marketplace is ripe for a transformation whereby cohesive, intelligent platforms with integrated AI functionalities can supplant these fragmented workflows.

Kris@Work aims to establish itself as a comprehensive operating system tailored specifically for revenue teams, focusing on automating mundane tasks. By doing this, they allow teams to concentrate on creative and high-value outcomes. As stated by Agarwal, "This is not just a luxury; it’s a necessity in today’s business environment where efficiency is paramount."

Technological advancements in agentic architecture and context-aware AI have positioned Kris@Work to lead the charge toward a more integrated future for companies. Mallya, the CTO and Co-Founder, noted that today’s innovations mean what once required numerous tools can now be accomplished through a single, faster, and more effective solution.

Ananta Joshi, the CPO, added that while a unified platform is undoubtedly beneficial, success ultimately hinges on delivering an intuitive user experience coupled with real-time AI insights. Joshi envisions a future where all aspects of work are seamlessly integrated into one intelligent framework, facilitating enhanced performance in various enterprise functions.

With its ground-breaking approach, Kris@Work is set to reshape the landscape for GTM teams across multiple industries including Technology, Financial Services, Telecom, and Automotive. As they continue to develop their AI-native execution layer over the coming years, Kris@Work is poised to redefine how enterprises approach revenue generation and team dynamics in an increasingly AI-driven world.

Topics Business Technology)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.