Zenskar secures $15 million Series A funding led by Susquehanna, Bessemer, Shine Capital, and Rho to expand its AI-native agentic capabilities for complex B2B billing and zero-touch finance automation.
Zenskar, the AI-native billing and revenue automation platform designed for the complexity of modern B2B companies, today announced the closing of a $15 million Series A funding round. The investment was 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 new capital will accelerate the expansion of Zenskar’s agentic capabilities to deliver true zero-touch finance.
Finance teams continue to face challenges because legacy systems were built for simpler environments, often requiring costly workarounds for dynamic pricing, usage-based models, amendments, customer hierarchies, and multi-currency operations. These limitations create risks around revenue leakage, delayed collections, compliance issues, and audit failures. Zenskar addresses these pain points with an architecture built from the ground up to treat complexity as the norm rather than an exception.
"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."
Zenskar has achieved 5x revenue growth over the past year. Customers report significant operational improvements, including scaling without increasing headcount, reducing monthly billing from days to hours, closing books 70% faster, and collecting revenue up to 50% earlier with zero leakage.
“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."
Zenskar models contract data as objects on a graph, incorporating every amendment, usage model, and edge case. This flexible foundation, combined with rule-based calculations and purpose-built AI agents, enables seamless end-to-end automation. Finance teams can create, customize, chain, and deploy agents through the Agents Marketplace without engineering support. Integration via Slack and major AI tools like Claude and ChatGPT further allows teams to assign tasks, review exceptions, and approve actions directly from their workflow.
"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."
About Zenskar
Zenskar is the AI-native billing and revenue automation platform built for the complexity of modern B2B. Unlike legacy order-to-cash systems that bolt AI onto rigid, outdated foundations, Zenskar was architected from the ground up to handle any pricing model, from usage-based tiers and prepaid credits to amendments, customer hierarchies, and multi-entity, multi-currency structures. Purpose-built AI agents, a growing Agents Marketplace, and universal assistant through Slack and other tools empower finance teams across the entire order-to-cash cycle, including billing, revenue recognition, collections, and analytics, without engineering involvement or manual workarounds to advance the company’s core vision: Zero-Touch Finance.
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