Vayu, the Tel Aviv-based startup transforming billing and revenue management for B2B tech companies, has secured $7 million in seed funding. The round was co-led by Flint Capital and The Garage, with participation from Fresh.Fund, Secret Chord Ventures, and angel investors including former Melio and Softbank executives.
Founded by fintech and data veterans Erez Agmon (CEO), Shenhav Avidar, and Shai Gross, the team brings extensive experience from companies like PayPal, Melio, and WSC Sports.
The startup developed the first revenue management platform that enables hyper-dynamic pricing for B2B tech companies. Their proprietary data metering technology processes tens of millions of events daily, allowing businesses to transition from basic usage-based pricing to sophisticated hyper-dynamic pricing models that can incorporate unlimited variables. Their no-code platform automates billing, aligns pricing with value, and provides real-time revenue insights, converting raw data into precise, real-time billing rules.
As B2B companies increasingly adopt complex pricing structures in the Generative AI and API-driven era, traditional billing systems are struggling to keep pace. Hybrid pricing models that blend usage-based, subscription tiers, and outcome-based pricing have become the norm, with 46% of SaaS companies already adopting them. Gartner predicts that by 2027, 75% of application providers will revamp their pricing models to support API-based consumption, up from just 25% today. Many companies report challenges in balancing simplicity and predictability, turning revenue management into a critical bottleneck.
"Pricing in today's GenAI-driven economy must go beyond just consumption or tiers to reflect relationships and outcomes," said Erez Agmon, CEO and Co-Founder at Vayu. "In a reality where pricing models have countless variations and each contract has its unique fingerprint, finance teams need full control of their revenue processes. At Vayu, we enable them to adopt any pricing model, launch new offerings, and seamlessly iterate on pricing, without relying on engineering resources."
