Kris@Work Raises $3M to Fight SaaS Fatigue with AI Co-Pilot

SAN FRANCISCO, CA – February 24, 2026 – Kris@Work, a startup developing an AI-native platform for enterprise revenue teams, announced today it has closed a $3.0 Million seed funding round. The investment was led by Infoedge Ventures, with participation from Singapore-based JN Capital & Growth Advisory and several angel investors. The company aims to tackle a growing problem in the corporate world: the inefficiency caused by a sprawling ecosystem of disconnected software tools.

Founded by SaaS industry veterans Arun Singh and Ramakrishna Mallya, Kris@Work is positioning itself as a unified “system of work and system of insights” for Go-To-Market (GTM) teams. The platform is designed to serve as a central work companion for sales, customer success, services, and revenue operations, reducing the dependency on a patchwork of point solutions. This new capital injection will be used to expand its enterprise customer base, forge new go-to-market partnerships, and accelerate the development of its ambitious multi-phase platform.

The Battle Against 'SaaS Fatigue'

The modern enterprise runs on Software-as-a-Service (SaaS), but the very tools meant to boost productivity are often becoming a source of friction. Industry analysis reveals that concerns over “SaaS sprawl” have surged in the past year, as companies grapple with dozens of applications that don't communicate with each other. This fragmentation forces employees into constant “context switching,” toggling between different interfaces and workflows, which erodes focus and wastes valuable time.

This phenomenon, often dubbed “legacy SaaS fatigue,” is particularly acute for revenue-generating teams. Sales and customer success professionals frequently find themselves navigating a complex web of CRM systems, sales engagement tools, data analytics dashboards, and communication apps. The result is siloed data, a disjointed view of the customer journey, and a measurable decline in productivity. According to Kitty Agarwal, Partner at InfoEdge Ventures, the market is at a critical juncture.

"Sales and Revenue teams today are overwhelmed by a proliferation of disconnected point solutions, leading to legacy SaaS fatigue and a measurable decline in productivity," said Agarwal. "As large language models mature, we believe the market is at an inflection point where 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, automating repetitive work and enabling teams to focus on higher-value, creative outcomes, is the need of the hour."

A New Paradigm: Agentic Architecture and Contextual AI

Kris@Work’s answer to this fragmentation is not just another tool, but a foundational shift in how work is done, powered by what it calls “agentic architecture” and “contextual AI.” This isn't about simply embedding a chatbot into an existing interface. Instead, the platform is built from the ground up on a framework of AI agents—autonomous systems that can perceive, reason, plan, and execute tasks without constant human intervention.

In practice, these agents can automate complex workflows, from identifying promising leads to orchestrating deal closure and managing account expansion. This is enabled by contextual AI, which allows the platform to understand data in its specific environment, considering user behavior, historical data, and situational factors to provide highly relevant, real-time insights and guidance. This approach moves beyond static, rule-based automation toward a dynamic, self-optimizing system.

"Over the past few years, the challenges of managing multiple disjointed SaaS tools have become evident," stated Arun Singh, CEO & Co-Founder of Kris@Work. "Removing this fragmentation needs a new system-of-work and system-of-insights for teams to move faster. Today, it's possible to run operations on agentic architecture, solving for siloed data. We've seen first-hand the impact on business performance and team productivity. SaaS is converging, and a work companion is the right solution."

This technological underpinning is what the company believes sets it apart in a crowded market. "SaaS is at a new inflection point. Agentic architectures and context-aware AI are making platforms smarter and more unified," added Ramakrishna Mallya, CTO & Co-Founder. "What once required multiple tools can now be achieved through a single platform, faster and with better results."

Investor Confidence and Market Validation

The $3 million seed round signals strong investor confidence in Kris@Work's approach. Lead investor Infoedge Ventures and participant JN Capital & Growth Advisory are betting that the market is ready to move beyond incremental improvements and embrace a new, AI-native operating model. This investment aligns with a broader trend in venture capital, which sees massive potential in AI-first solutions that can fundamentally restructure enterprise operations. The global Revenue Operations (RevOps) platform market, which aims to unify these functions, is projected to exceed $18 billion by 2033.

Perhaps the most compelling evidence of the market's readiness is Kris@Work's early traction. The company impressively moved from its first line of code to securing its first enterprise contract in under seven months—a rapid validation of its product-market fit. The platform is already being adopted by customers in diverse and demanding sectors, including Technology, Financial Services, Telecom, and Automotive, demonstrating its versatility and appeal to large-scale operations.

The company plans to use the new funds to build on this momentum, with a roadmap focused on delivering deeper automation, multi-agent orchestration, and robust enterprise-scale deployments.

The Future of Work for Revenue Teams

Looking ahead, Kris@Work envisions a future where the complexities of enterprise software are abstracted away from the end-user. The goal is to create a single, intuitive interface that serves as the command center for all GTM activities. This vision extends beyond just consolidating tools; it's about augmenting human capabilities with intelligent automation and real-time guidance.

"A single platform is only half the solution. True outcomes come from pairing it with an intuitive user experience and real-time AI intelligence," explained Ananta Joshi, the company's Chief Product Officer. "Converging everything at work into a single intelligent window is how we see the future of work."

Over the next three years, Kris@Work plans to expand its AI-native execution layer beyond GTM to other core enterprise functions, applying the same framework of agentic architecture and contextual intelligence. By doing so, the company is not just building a product for revenue teams; it is laying the groundwork for a new generation of enterprise software designed for an AI-first world.