
- Sun, 1 March 2026
A Seed Round Focused on AI Native Revenue Execution
Kris@Work has raised 3 million dollars in a seed funding round led by Infoedge Ventures. The round also saw participation from JN Capital and Growth Advisory Singapore along with several angel investors.
The capital comes less than two years after the company was launched in 2024 by Arun Singh and Ramakrishna Mallya.
The startup is building what it calls an AI native Go To Market execution platform for enterprise revenue teams.
Solving Tool Fatigue in Enterprise Sales
Revenue teams today rely on a stack of disconnected SaaS tools to manage pipelines, communication, reporting, and execution.
Kris@Work aims to unify these fragmented systems into a single intelligent interface. The platform is designed to act as both a system of work and a system of insights, guiding teams through workflows in real time.
By reducing context switching and automating routine tasks at scale, the company believes it can significantly improve productivity and execution quality.
Built on Agentic Architecture and Context Aware AI
At the core of Kris@Work’s platform is agentic architecture powered by advanced large language models.
The system proactively guides users, surfaces insights, and orchestrates workflows across different stages of the revenue cycle. Instead of relying on multiple point solutions, enterprises can operate through a unified window that brings data and actions together.
The company believes that as AI matures, SaaS platforms will converge into intelligent operating systems rather than isolated tools.
What Comes Next
Kris@Work plans to use the fresh funding to expand its enterprise customer base and strengthen its go to market partnerships.
The company is also working toward completing development across all four phases of its platform, with a focus on deeper automation, multi agent orchestration, and enterprise scale deployments.
As enterprise software enters a new phase shaped by AI first design, Kris@Work is positioning itself as a foundational layer for revenue operations.




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