Bengaluru, February 24, 2026 — Kris@Work, an AI-native Go-To-Market (GTM) execution platform designed for enterprise revenue teams, has raised $3 million in seed funding in a round led by InfoEdge Ventures. The round also saw participation from JN Capital & Growth Advisory (Singapore) and a group of angel investors.
The fresh capital will be used to accelerate product development, expand the enterprise customer base, and strengthen go-to-market partnerships as the company positions itself in the emerging category of AI-driven revenue execution platforms.
Building a Unified AI System for Revenue Teams
Kris@Work is designed as a system-of-work and system-of-insights for enterprise revenue teams. The platform aims to eliminate dependency on multiple disconnected SaaS tools used across sales, customer success, services, support, and revenue operations.
Founded by experienced SaaS professionals, the company was built with the vision of creating a single, unified execution layer for GTM teams. The founding leadership includes Arun Singh (CEO & Co-Founder) and Ramakrishna Mallya (CTO & Co-Founder), supported by Ananta Joshi (Chief Product Officer).
The startup moved from writing its first line of code to signing its first enterprise contract in under seven months, indicating strong market demand for AI-native revenue execution systems.
Addressing SaaS Fragmentation and Productivity Gaps
Enterprise sales and revenue teams often rely on multiple point solutions to manage CRM, marketing automation, customer engagement, support workflows, analytics, and reporting. This fragmentation can create siloed data, workflow inefficiencies, and declining team productivity.
Kris@Work seeks to solve this challenge by consolidating GTM operations into a single intelligent platform powered by agentic architecture and contextual AI.
According to Arun Singh, CEO and Co-Founder of Kris@Work, the increasing complexity of SaaS ecosystems has highlighted the need for a unified operating system for revenue teams. He noted that agent-based AI architectures now make it possible to eliminate data silos and streamline operations across departments.
AI-Powered Agentic Architecture for GTM Execution
The platform is built on a modular, agentic architecture designed to orchestrate multi-agent workflows across the revenue lifecycle — from lead identification and deal closure to account expansion.
Kris@Work integrates contextual AI to provide real-time insights and guidance, automating repetitive tasks while maintaining governance and compliance standards. The system is designed to operate as a “work companion,” enabling teams to focus on strategic, high-value activities rather than manual coordination.
The company plans to complete development across all four phases of its platform roadmap, with deeper automation, multi-agent orchestration, and enterprise-scale deployments as key priorities.
Investor Perspective: AI at an Inflection Point
Kitty Agarwal, Partner at InfoEdge Ventures, highlighted that revenue teams are currently facing “legacy SaaS fatigue” due to an overload of disconnected point solutions. She emphasized that advancements in large language models (LLMs) have created an inflection point for unified AI-powered platforms.
According to investors, platforms that combine intelligent automation, AI co-pilots, and integrated workflows are likely to replace fragmented SaaS stacks in enterprise environments.
The Convergence of SaaS and AI
Kris@Work’s leadership believes that the SaaS industry is undergoing a structural shift. CTO and Co-Founder Ramakrishna Mallya noted that agentic architectures and context-aware AI are enabling smarter, more unified enterprise platforms.
What previously required multiple standalone tools can now be achieved within a single AI-driven system, reducing complexity and improving execution speed.
Chief Product Officer Ananta Joshi added that true enterprise impact requires not only a unified platform but also intuitive user experience and real-time AI intelligence. The company envisions a future where work converges into a single intelligent interface powered by contextual AI.
Enterprise Adoption Across Key Industries
Kris@Work is already being adopted across industries including:
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Technology
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Financial Services
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Telecommunications
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Automotive
These sectors often operate complex GTM motions with fragmented tool stacks, making them ideal candidates for AI-native execution platforms.
The company aims to expand its AI execution layer beyond GTM use cases over the next three years. The long-term vision includes applying the same AI-native framework to additional enterprise functions, creating a broader intelligent operating system for modern organizations.
Scaling AI-First Enterprise Platforms
The fresh funding will support Kris@Work’s expansion into larger enterprise accounts and strengthen its ecosystem partnerships. As AI adoption accelerates globally, enterprises are seeking platforms that go beyond experimentation and deliver measurable business impact.
By combining agentic AI, contextual intelligence, and workflow consolidation, Kris@Work is positioning itself as part of the next generation of AI-first enterprise platforms.
As organizations continue to modernize their revenue operations, demand for unified AI-native execution systems is expected to grow. Kris@Work’s $3 million seed round signals early investor confidence in this evolving enterprise AI category.
Ruchi Kumar is the associate editor at Entrepreneur News Network and TVW News India, where she leads editorial strategy, brand storytelling, and startup ecosystem coverage. With a strong focus on innovation, business, and marketing insights, he curates impactful narratives that spotlight India’s evolving entrepreneurial landscape.