Salesforce acquires m3ter to add consumption-based billing to Agentforce

Salesforce has signed a definitive agreement to acquire m3ter, a London-based metering and rating platform built for consumption-based billing. The deal will integrate m3ter’s infrastructure natively into Agentforce Revenue Management, giving Salesforce customers the ability to launch, track, and bill usage-based and outcome-based pricing models without leaving the platform. Financial terms were not disclosed.

The acquisition reflects a structural shift in how software companies charge for their products. Traditional per-seat subscriptions made sense when humans were the primary users, but AI agents that perform work autonomously create a billing problem: if one agent replaces ten employees, selling ten licences no longer works. Salesforce itself has been navigating this tension, moving Agentforce to a consumption model built on Flex Credits where each agent action costs roughly $0.10.

m3ter was founded in 2020 by Griffin Parry and John Griffin, who previously co-founded GameSparks, a cloud services company acquired by Amazon in 2017. The pair spent three years at AWS after the acquisition, where they saw first-hand how Amazon’s usage-based billing infrastructure worked at scale. They left to build m3ter as a standalone metering layer that could sit between a product and its billing system.

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The platform ingests product usage data in near real time, applies configurable pricing rules, and outputs billable charges to whatever CRM, ERP, or invoicing system a company uses. m3ter raised $17.5 million in seed funding from Union Square Ventures, Insight Partners, and Kindred Capital in 2022, followed by a $14 million Series A led by Notion Capital in 2023. Its customers include Paddle, Onfido, and Sift.

“We founded m3ter to solve the hardest problems in usage-based pricing,” Parry said. “Joining Salesforce allows us to bring our high-scale mediation and rating capabilities to the world’s largest enterprise install base.” The transaction is expected to close in the second quarter of Salesforce’s fiscal year 2027, subject to customary closing conditions.

m3ter is the latest in a series of acquisitions Salesforce has made to assemble the infrastructure for its AI agent strategy. The company acquired Contentful earlier this month for a native content layer, completed an $8 billion deal for Informatica in late 2025 for data integration, and bought Momentum, Qualified, and Cimulate for conversation intelligence, AI sales engagement, and digital experience simulation respectively.

The pattern is clear: Salesforce is buying the components it needs to make Agentforce a complete platform rather than a feature bolted onto its existing CRM. m3ter fills the monetisation gap, the infrastructure required to actually charge customers for what AI agents do. Without native metering, enterprises running consumption-based models have to stitch together third-party billing tools or build custom integrations, a problem that becomes harder as pricing models grow more complex.

Whether this translates into revenue growth is the question investors are watching. Salesforce reported $11.13 billion in revenue for fiscal Q1 2027, up 13% year on year, and Agentforce reached $1.2 billion in annual recurring revenue. The stock fell roughly 1.7% on the day of the m3ter announcement, sitting closer to its 52-week low of $163.52 than its high of $276.80.

Investors want proof that consumption-based AI revenue can scale fast enough to offset the structural threat to seat-based licensing. A billing infrastructure acquisition is a bet on plumbing rather than a growth catalyst, and the market priced it accordingly.

For m3ter, the outcome is a fast exit for a company that raised just $31.5 million in total funding. For Salesforce, it is another piece in a stack that now spans data (Informatica), content (Contentful), agents (Agentforce), and billing (m3ter). The question is whether enterprises will consolidate on that stack or continue assembling their own from best-of-breed vendors, a choice that the shift to consumption pricing makes more consequential with every agent deployed.