Bengal-Based Startup Targets Enterprise Expansion and Go-To-Market Partnerships
Mumbai, February 24: Kris@Work, a Bengal-based startup, on Tuesday announced that it has secured $3 million in seed funding to accelerate its expansion plans, strengthen business partnerships, and deepen enterprise adoption of its AI-native Go-To-Market execution platform.The seed funding round was led by Infoedge Ventures, with participation from JN Capital & Growth Advisory and several angel investors, the company said in a statement.
AI-Native GTM Execution Platform Gains Cross-Industry Adoption
Kris@Work operates an AI-native Go-To-Market execution platform designed to address complex GTM processes and fragmented technology stacks. The platform is currently being adopted across industries including technology, financial services, telecom, and automotive.According to the company, businesses in these sectors continue to face operational challenges due to siloed data and disconnected tools, creating inefficiencies in execution and performance tracking. Kris@Work positions its platform as a unified solution built on an agentic architecture to streamline operations and improve coordination.
"Today, it's possible to run operations on an agentic architecture, solving for siloed data. We've seen firsthand the impact on business performance and team productivity. SaaS is converging, and a work companion is the right solution," said Arun Singh, Co-founder and Chief Executive Officer of Kris@Work.
Funding to Drive Enterprise-Scale Deployments
The company stated that the fresh capital will be used to expand its customer base among businesses, strengthen go-to-market partnerships, and complete development of the platform across all four phases.A key focus area will be enterprise-scale deployments, as Kris@Work aims to deepen its footprint in industries grappling with increasingly complex GTM workflows.
With the new funding in place, the startup is positioning itself to scale operations and broaden adoption of its AI-driven execution platform across multiple sectors.
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