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M3ter

Other B2B Software · London, United Kingdom · Founded 2020

Automating usage-based pricing for software companies with a low code platform, enabling easy billing and revenue recognition, and integrations with leading finance systems MoreLess

M3ter operates as a specialized pricing operations platform targeting B2B software companies, particularly those in the scale-up phase. The company was established in London, United Kingdom, in 2020 by co-founders Griffin Parry and John Griffin. Their journey together began long before M3ter, having previously co-founded GameSparks, a backend-as-a-service venture which they sold to Amazon in 2017. This experience, coupled with several years at AWS observing its sophisticated usage-based pricing mechanisms, highlighted a market gap for a dedicated tool to manage complex billing, leading directly to M3ter's creation.

The firm's core business revolves around automating and managing usage-based and hybrid pricing models, a segment that has grown as software companies shift away from simple, flat-rate subscriptions. M3ter positions its platform as the essential link between a company's CRM and ERP systems, providing the infrastructure to meter usage, apply complex pricing logic, and automate bill calculation. This service is designed for finance, product, engineering, and sales teams within B2B software enterprises. The business model is a SaaS platform that generates revenue by enabling clients to implement these intricate pricing strategies, reduce revenue leakage, and accelerate their billing cycles.

The M3ter platform is engineered to ingest and process high volumes of raw usage data, removing the burden from a client's engineering teams. It integrates with existing systems like Salesforce and NetSuite to ensure data flows are automated and synchronized for accurate billing. A key benefit is the ability to manage complex pricing configurations centrally, allowing businesses to adapt their models as they evolve. The platform is also developing advanced analytics features, such as a Cost Allocator to determine gross margins on a per-customer basis, a Pricing Experimenter to model the impact of pricing changes, and a Usage Forecaster for improved revenue planning. Since emerging from stealth in 2022, the company has secured $31.5 million in total funding over two rounds, including a $17.5M Seed round in February 2022 and a $14M Series A in April 2023, with investors like Notion Capital, Insight Partners, and Union Square Ventures.

Keywords: usage-based billing, pricing operations, B2B SaaS billing, consumption-based pricing, billing automation, metering infrastructure, SaaS monetization, pricing analytics, revenue operations, quote-to-cash, financial technology, subscription management, hybrid pricing, billing integration, revenue recognition, data ingestion, bill calculation, pricing experimentation, customer usage data, scale-up financial tools

Valuation $50–100M
Revenue $1–10M
Headcount <100
Total funding $10–50M
Unlock exact values This page shows ranges. Dealroom has the exact numbers for M3ter and the history behind them.

Talent graph

M3ter's talent

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Team profiled 5 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 2 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
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Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

4 investors on M3ter's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 3 investors entered at this stage
Series A 1 investor entered at this stage

Global footprint

Where M3ter has talent and traffic

Workforce by country
7 countries with
team presence
🇬🇧 United Kingdom55.2%
🇺🇸 United States17.2%
🇷🇴 Romania10.3%
🇦🇺 Australia3.5%
🇵🇱 Poland3.5%
Top 5 of 7 shown

Market sentiment

What the market is saying about M3ter

An AI-synthesized read of the highest-engagement posts about M3ter on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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