Zenskar Raises $15 Million Series A to Expand Agentic Capabilities for B2B Revenue Automation

Investment by Susquehanna, Bessemer, Shine Capital, and Rho Advances Zenskar’s Agentic Approach to Billing and Revenue Infrastructure

NEW YORK--(BUSINESS WIRE)--Zenskar, the AI-native billing and revenue automation platform powering Zero-Touch Finance for real-world complexity, today announced a $15 million Series A 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 expand Zenskar's agentic capabilities.

Zenskar was built to solve revenue automation for the complex pricing and business models of modern B2B companies through an AI-native approach. The Series A funding enables Zenskar to expand its agentic capabilities, including its Agents Marketplace — a growing library of agents that finance teams can create, customize, chain, and deploy across the full order-to-cash cycle without engineering involvement. Their Slack agent and MCP that connects with major AI tools like Claude, ChatGPT, etc. allows teams to assign tasks, review exceptions, and approve actions from wherever they work.

"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,” said Apurv Bansal, CEO and Co-Founder of Zenskar. “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.”

With usage-based tiers, prepaid credits, amendments, minimum commitments, customer hierarchies, multiple entities and multiple currencies, workarounds create cascading risks, including revenue leakage, delayed collections, and audit and compliance issues.

"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

Zenskar has seen 5x revenue growth in the past year, with strong momentum continuing across customers.

Across the board, the results are the same: less time on operations. Posh is scaling their business without increasing head count. Thriva’s monthly billing takes hours, not days, Pontera bills its clients in a single click, Yembo collects 50% of revenue a full month earlier with zero revenue leakage, and Vertice closes books 70% faster.

When standard tools hit their ceiling, teams are forced to build and maintain in-house systems. Sardine did exactly that – four years of managing in-house infrastructure for their high-volume, usage-based pricing – before discovering Zenskar could handle it.

“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

Unlike platforms that force finance teams into rigid, one-size-fits-all logic, Zenskar models contract data as objects on a graph — covering every amendment, every usage model, every edge case. This foundational flexibility paired with rule-based calculations and purpose-built AI delivers a seamless end-to-end automation experience where finance teams set the rules and agents execute it.

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.