Zenskar Secures $15M Series A to Pioneer AI-Native Zero-Touch Finance Automation

Zenskar, the AI-native billing platform, announced a $15 million Series A funding round to advance its vision of Zero-Touch Finance. Led by Susquehanna Venture Capital and Bessemer Venture Partners, the capital will expand the company's agentic capabilities for B2B revenue operations. This investment follows a period of 5x revenue growth and brings the company's total equity funding to approximately $21.5 million.

Finance teams currently struggle with legacy tools built on linear data models that fail to handle modern usage-based pricing and complex contracts. These rigid systems force manual workarounds in spreadsheets, leading to revenue leakage and audit risks. Zenskar aims to eliminate this operational grunt work by rebuilding the financial foundation from the ground up to handle real-world complexity without human intervention.

The platform uses a graph-based data model to handle every amendment and usage tier without engineering intervention. By decoupling metering, billing, and revenue recognition, Zenskar ensures that changes in one area do not cause cascading errors across the system. This modular approach allows for deterministic orchestration of core financial math while safely leveraging AI for reasoning and extraction. A major focus for this funding is the expansion of the Agents Marketplace, a library of specialized AI agents for order-to-cash cycles. These agents can be customized and chained to perform multi-step workflows under strict human supervision. Additionally, an AI Copilot integrates with tools like Slack to allow teams to approve actions within their existing communication channels. Companies like 100ms and Sardine have already seen significant efficiency gains, with some closing their books 70% faster using Zenskar's infrastructure. Others report collecting revenue a full month earlier by automating complex billing cycles that previously required manual oversight. This traction validates the shift from simple AI chatbots to proactive agentic workflows in enterprise finance.