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Zenskar Closes $15M Series A for Revenue Automation

Key Points
  • Zenskar raised $15 million in a Series A round to expand its AI-native billing and revenue automation platform for B2B companies.
  • Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho co-led the round, with Rocketship, J-Ventures, Future Back Ventures, and Converge participating.
  • The funding will grow Zenskar's Agents Marketplace, a library of AI agents finance teams can deploy across the order-to-cash cycle.
April 20, 2026
Foundrs of Zenskar, Apurv Bansal and Saurabh Agarwal
Credits: Zenskar

Funding details

Zenskar, a New York-based startup co-founded by Apurv Bansal and Saurabh Agrawal, is building an AI-native platform that automates billing, revenue recognition, and collections for B2B companies. The company's bet is straightforward: finance teams need AI agents that can handle real billing complexity, not more spreadsheets layered on top of outdated systems.

The billing process for B2B software companies has grown significantly more complex in recent years. Usage-based pricing, prepaid credits, and tiered plans have replaced simpler subscription models, and existing tools have struggled to keep up. The global billing and invoicing software market is valued at $6.57 billion in 2026 and is expected to grow to $20 billion by 2035, driven by the shift toward cloud-based, automated financial operations. For many finance teams, the software they rely on today was not built for this kind of complexity.

The company has raised $15 million in a Series A round co-led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho. Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge also participated.

Why B2B billing keeps breaking finance teams

The problem Zenskar is trying to solve is not that billing software does not exist. Plenty of it does. The issue is that most of it was designed for a simpler era of flat subscriptions and predictable invoices. Modern B2B companies deal with usage-based tiers, mid-contract amendments, customer hierarchies across multiple entities, and billing in several currencies at once. When the tools cannot handle those edge cases, teams fall back on spreadsheets and homegrown systems. That creates a chain of problems. Revenue leakage, delayed collections, and compliance risks during audits all follow.

Consider AI companies that bill based on token consumption, where costs shift each time a new model launches. Or cloud providers managing tiered pricing across thousands of accounts. These situations are becoming standard, not exceptional.

"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

How Zenskar plans to spend its Series A funding

Most of the new capital will go toward expanding what Zenskar calls its agentic capabilities. In practice, that means growing its Agents Marketplace, a library of AI agents that finance teams can build, customize, chain together, and deploy across the full order-to-cash cycle, which covers everything from invoicing to collections. The goal is to let teams automate tasks like exception handling and approvals without involving engineers.

The company is also investing in integrations with tools finance teams already use daily. Zenskar has built a Slack agent and MCP connections that work with AI assistants like Claude and ChatGPT, allowing teams to assign tasks, review exceptions, and approve actions without switching platforms. Zenskar describes this broader direction as "Zero-Touch Finance," where routine operations run on their own and humans step in only for strategic decisions.

"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

How Zenskar works and who built it

Apurv Bansal and Saurabh Agrawal founded Zenskar in 2022. The two have known each other for over a decade. Bansal, who serves as CEO, previously worked as a product manager at Google, co-founded Wishpicker, which was acquired by Snapdeal, and holds an MBA from Harvard Business School. Agrawal's background includes time at Deutsche Bank and a computer science degree from IIT Bombay.

Technically, Zenskar models contract data as objects on a graph. That means every amendment, pricing tier, usage model, and edge case sits in a single connected structure rather than being forced into rigid, predefined billing logic. On top of this data layer, the platform applies rule-based calculations and purpose-built AI agents. Together, these handle billing, revenue recognition compliant with standards like ASC 606, collections through automated dunning, and SaaS analytics. Zenskar integrates with over 100 tools, including CRMs, ERPs, and payment systems.

The company reports 5x revenue growth over the past year. Some customer results help illustrate the impact: Thriva reduced its monthly billing cycle from days to hours, Pontera now bills clients in a single click, Yembo collects 50% of its revenue a full month earlier with zero leakage, and Vertice closes books 70% faster. Sardine, which had spent four years maintaining in-house billing infrastructure for high-volume, usage-based pricing, moved to Zenskar after finding the platform could handle what its internal system could not.

"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 of Zenskar

The investors behind Zenskar's Series A

This $15 million round adds to a $6.5 million seed round raised in October 2022, according to the company. That earlier round was led by Bessemer Venture Partners, with participation from Shine Capital, Basecamp Fund, and Converge.

The Series A was co-led by Susquehanna Venture Capital, Bessemer Venture Partners, Shine Capital, and Rho. Rocketship, J-Ventures, Future Back Ventures by Bain & Company, and Converge also joined. Bessemer's involvement in both the seed and the Series A is worth noting, as repeat participation from the same investor across consecutive rounds often reflects confidence in a company's direction.

Funding details

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