Zenskar announced it has raised $15 million in a Series A funding round led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho, with participation from Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge.

The funding will be used to expand Zenskar’s agentic capabilities as the company builds out its vision for “zero-touch finance,” enabling automation across complex B2B revenue workflows without requiring engineering support.

Zenskar’s platform is designed to address the increasing complexity of modern B2B pricing models, including usage-based billing, prepaid credits, multi-entity structures, and multi-currency operations. Traditional systems often struggle with these requirements, forcing finance teams to rely on manual workarounds that can lead to revenue leakage, delayed collections, and compliance risks.

At the core of Zenskar’s approach is an AI-native architecture that models contract and revenue data as flexible objects, allowing finance teams to define rules while AI agents execute tasks across the entire order-to-cash lifecycle. The platform includes an Agents Marketplace, where teams can create, customize, and deploy automation agents, as well as integrations with tools like Slack and leading AI platforms to manage workflows in real time.

The company has reported strong traction, including fivefold revenue growth over the past year, with customers using the platform to reduce operational workload, accelerate billing cycles, and improve financial accuracy.

Zenskar positions itself as an alternative to legacy financial systems that were not designed for the complexity of modern business models or the integration of AI. By embedding automation directly into the underlying infrastructure, the company aims to enable finance teams to shift focus from manual processes to strategic decision-making.

The investment reflects growing demand for AI-driven financial infrastructure as enterprises look to modernize revenue operations and support increasingly dynamic pricing and business models.

KEY QUOTES:

“Finance teams aren’t struggling because they lack AI tools. They’re struggling because the systems underneath those tools were built for a simpler world. Bolting AI onto these broken foundations preserves their limitations, so we built an entirely new architecture, one that can truly free finance from their operational grunt work so they can focus on strategic work.”

Apurv Bansal, CEO And Co-Founder, Zenskar

“Finance teams have lagged in AI adoption because accuracy, auditability, and compliance are non-negotiable. Legacy systems treat complexity as an exception, not the norm, forcing teams into costly, error-prone workarounds and making any AI built on top of them unreliable. Zenskar’s flexible foundation is what lets AI deliver on its promise.”

Sai Araveti, Investment Advisor, Susquehanna

“The problems that break finance teams aren’t the obvious ones, but the complex ones like bespoke pricing structures that are dynamic, AI token consumption that changes each time a new model drops, or ASC 606-compliant revenue recognition that needs to be closed in a day. What makes Zenskar different is that their AI-native, agentic architecture was built exactly for this and to make sure a developer is not required anytime something changes. We’re excited to partner with the team as they make zero-touch finance a reality.”

Anant Vidur Puri, Partner, Bessemer Venture Partners