Zenskar, an AI-native billing and revenue automation platform built to deliver zero-touch finance for complex B2B businesses, has closed a $15m Series A funding round.
The raise was led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho, with additional backing from Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge.
The capital will be directed towards expanding Zenskar’s agentic capabilities, including the further development of its Agents Marketplace — a growing library of AI agents that finance teams can build, tailor, chain together, and deploy across the entire order-to-cash cycle without requiring any engineering resource.
The platform also features a Slack agent and model context protocol (MCP) that connects with leading AI tools, enabling teams to delegate tasks, review exceptions, and approve actions from within their existing workflows.
The company has recorded fivefold revenue growth over the past year, with momentum continuing to build across its customer base.
Several clients have reported substantial operational improvements: Thriva has reduced its monthly billing process from days to hours, Pontera now bills clients in a single click, Yembo collects half of its revenue a full month earlier with no revenue leakage, Vertice closes its books 70% faster, and Posh has been able to scale without adding headcount.
Sardine, which had spent four years running its own in-house infrastructure to manage high-volume, usage-based pricing, has since moved to Zenskar’s platform.
Zenskar was founded to address the revenue automation challenges faced by modern B2B companies with complex pricing arrangements. Rather than layering AI onto existing legacy systems, the platform was architected from scratch to handle usage-based tiers, prepaid credits, contract amendments, minimum commitments, customer hierarchies, multi-entity structures, and multi-currency operations.
Without a purpose-built foundation, these complexities tend to produce cascading problems — including revenue leakage, delayed collections, and audit and compliance risks. The platform models contract data as objects on a graph, covering every amendment, every usage model, and every edge case, and pairs that structural flexibility with rule-based calculations and purpose-built AI to deliver end-to-end automation across billing, revenue recognition, collections, and analytics.
Zenskar CEO and co-founder Apurv Bansal said, “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.”
Susquehanna investment advisor Sai Araveti said, “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.”
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