Bengaluru-based AI-native GTM execution platform Kris@Work has raised $3 million in a seed funding round led by Info Edge Ventures, with participation from JN Capital & Growth Advisory and a group of angel investors.
The fresh capital will be deployed to accelerate enterprise customer acquisition, deepen go-to-market partnerships, and complete development across all four phases of its platform, the company said in a press release.
Co-founded by Arun Singh and Ramakrishna Mallya, Kris@Work is positioning itself as a new “system of work” and “system of insights” for enterprise revenue teams. Built on deep SaaS operating experience, the platform is designed to address structural inefficiencies that sales, marketing, and customer success teams face in complex enterprise environments.
Building an AI-Native Execution Layer
Kris@Work operates in a fast-evolving category of enterprise AI platforms focused on GTM and revenue execution. As global organizations rethink how teams function in an AI-first world, the startup aims to simplify and unify fragmented workflows.
The platform consolidates multiple tools into a single intelligent interface that proactively guides users across sales and GTM journeys. By reducing context switching and automating routine tasks at scale, Kris@Work enables teams to operate with real-time intelligence rather than reactive reporting.
Leveraging a modular, agentic architecture combined with contextual AI, the company covers the entire revenue lifecycle—from lead identification and deal closure to account expansion. The system delivers real-time insights, end-to-end workflow automation, and strong governance frameworks suited for enterprise environments.
Expanding Beyond GTM
Currently serving a growing base of enterprise customers across technology, financial services, telecom, and other sectors, Kris@Work is building what it describes as an extensible execution layer.
Over the next three years, the company plans to expand its AI-native framework beyond GTM use cases into additional enterprise functions, applying the same modular architecture across multiple areas of work.
With fresh backing and a clear product roadmap, Kris@Work is aiming to become a foundational intelligence layer for enterprise revenue teams navigating the next phase of AI-driven transformation.
