Kris@Work Raises $3M Seed Funding to Build AI-Native GTM Execution Platform

Kris@Work, an AI-native Go-To-Market (GTM) execution platform for enterprise revenue teams, has raised $3 million in seed funding led by InfoEdge Ventures, with participation from JN Capital & Growth Advisory and several angel investors.

The funding marks a significant step forward in the evolution of AI-driven revenue operations and signals growing investor confidence in unified, AI-first enterprise platforms.

Building the Future of AI-Native Revenue Operations

Kris@Work is positioning itself as a new system of work and system of insights for revenue teams, designed to eliminate the complexity of managing multiple disconnected SaaS tools across:

• Sales
• Customer Success
• Services
• Customer Support
• Revenue Operations

Instead of relying on fragmented point solutions, Kris@Work acts as a central AI-powered work companion, enabling seamless GTM execution from a single platform.

Founded by experienced SaaS leaders Arun Singh and Ramakrishna Mallya, with product leadership led by Ananta Joshi (Chief Product Officer), the company was conceived as a unified AI operating layer for modern revenue teams.

Notably, Kris@Work progressed from its first line of code to securing its first enterprise contract in under seven months — underscoring strong market demand for AI-native GTM execution platforms.

Why AI-Native GTM Platforms Are the Next Big Shift

The enterprise SaaS ecosystem is rapidly evolving. Revenue teams today face:

• Tool fragmentation
• Data silos
• Workflow inefficiencies
• Declining productivity due to SaaS fatigue

Kris@Work operates in a fast-growing category of enterprise AI platforms for GTM and revenue execution, competing alongside global innovators reimagining how sales, marketing, and customer success operate in an AI-first world.

According to Arun Singh, CEO & Co-Founder, the SaaS landscape is converging:

“Over the past few years, managing multiple disjointed SaaS tools has become increasingly challenging. Removing this fragmentation requires a new system-of-work and system-of-insights. Today, agentic architectures make it possible to solve siloed data problems and dramatically improve business performance.”

Investor Perspective: AI Co-Pilots Replacing Fragmented SaaS

Kitty Agarwal, Partner at InfoEdge Ventures, believes the market is reaching a major inflection point:

“Sales and revenue teams are overwhelmed by disconnected point solutions, leading to legacy SaaS fatigue. As large language models mature, unified intelligent platforms with AI co-pilots can replace fragmented workflows. Kris@Work’s vision of becoming a one-stop operating system for revenue teams aligns perfectly with where the market is headed.”

This shift toward AI co-pilot platforms and agentic architectures is reshaping enterprise productivity at scale.

How Kris@Work Plans to Use the $3M Funding

The newly raised capital will be used to:

• Expand the enterprise customer base
• Strengthen GTM partnerships
• Complete development across four platform phases
• Enhance multi-agent orchestration capabilities
• Enable deeper automation for enterprise-scale deployments

Ramakrishna Mallya, CTO & Co-Founder, emphasized the technological transformation underway:

“Agentic architectures and context-aware AI are making platforms smarter and more unified. What once required multiple tools can now be achieved through a single platform — faster and with better results.”

Meanwhile, Ananta Joshi, Chief Product Officer, highlighted the importance of user experience:

“A single platform alone is not enough. True impact comes from pairing it with intuitive UX and real-time AI intelligence. Converging everything into a single intelligent window defines the future of work.”

The Bigger Picture: SaaS Convergence and the Rise of AI Work Companions

The Kris@Work funding round reflects a broader trend in enterprise technology:

• SaaS consolidation
• AI-native operating systems
• Multi-agent orchestration
• Workflow automation powered by large language models

As AI matures, enterprises are increasingly looking for integrated AI-first platforms that reduce complexity while increasing productivity and revenue efficiency.

With strong early traction and investor backing, Kris@Work is positioning itself to lead the next generation of AI-native GTM execution platforms.