Kris@Work raises $3 Mn in Seed round led by Infoedge Ventures

Kris@Work, an AI-native go-to-market (GTM) execution platform for enterprise revenue teams, has raised $3 million in a seed funding round led by Info Edge Ventures, with participation from JN Capital & Growth Advisory (Singapore) and s

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Gyan Vardhan
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Kris Work

Kris@Work, an AI-native go-to-market (GTM) execution platform for enterprise revenue teams, has raised $3 million in a seed funding round led by Info Edge Ventures, with participation from JN Capital & Growth Advisory (Singapore) and several angel investors.

The proceeds will be used to expand its enterprise customer base, strengthen go-to-market partnerships, and complete development across all four phases of the platform, the company said in a press release.

Co-founded by Arun Singh and Ramakrishna Mallya, Kris@Work is built as a new system of work and system of insights to help revenue teams operate more efficiently and execute with real-time intelligence. The platform draws on deep SaaS experience to address operational gaps faced by enterprise teams.

Kris@Work operates in a rapidly evolving category of enterprise AI platforms for GTM and revenue execution, alongside a new generation of global players rethinking how sales, marketing, and customer success teams function in an AI-first world.

The Bengaluru-based startup unifies multiple tools into a single intelligent interface that proactively guides users through sales and GTM workflows, reduces context switching, and automates routine tasks at scale. It serves a growing base of enterprise customers across technology, financial services, telecom, and other sectors.

Leveraging a combination of agentic architecture and contextual AI, Kris@Work provides a unified platform for GTM teams, covering lead identification, deal closure, and account expansion. The platform delivers real-time insights and guidance, automates workflows end-to-end, and maintains strong governance.

The company said the platform is built on a modular, agentic architecture designed to extend beyond GTM use cases. Over the next three years, Kris@Work plans to expand this execution layer to additional enterprise functions, applying the same AI-native framework across multiple areas of work.

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