Zenskar, an AI-native billing and revenue automation platform for B2B companies, announced it has raised $15 million in a Series A round to expand its agentic capabilities and accelerate adoption of its “zero-touch finance” approach. The financing 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 company is focused on solving revenue automation challenges for modern B2B businesses with complex pricing models, including usage-based billing, prepaid credits, multi-entity structures, and multi-currency operations. Zenskar’s AI-native platform is designed to replace legacy systems that struggle to handle such complexity, often leading to revenue leakage, delayed collections, and compliance risks.

The new funding will support the expansion of Zenskar’s agentic capabilities, including its Agents Marketplace, which enables finance teams to create, customize, and deploy AI agents across the full order-to-cash lifecycle without requiring engineering resources. The platform also integrates with tools like Slack and major AI systems, allowing teams to manage workflows, review exceptions, and approve actions directly within their existing environments.

Zenskar has reported strong growth, including a fivefold increase in revenue over the past year, driven by demand from companies seeking to automate finance operations while maintaining accuracy, auditability, and compliance. The platform uses a flexible data model that treats contract and billing data as interconnected objects, enabling it to handle complex scenarios without rigid constraints.

By combining rule-based systems with AI-driven automation, Zenskar aims to provide finance teams with a scalable infrastructure that reduces manual work, accelerates financial processes, and improves operational efficiency across billing, revenue recognition, collections, and analytics.

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