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Home » Ravio lands $12m to overhaul global salary benchmarking with real-time HR data
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Ravio lands $12m to overhaul global salary benchmarking with real-time HR data

adminBy adminMay 8, 2025No Comments2 Mins Read
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Ravio lands $12m to overhaul global salary benchmarking with real-time HR dataRavio lands $12m to overhaul global salary benchmarking with real-time HR data

Ravio, a compensation data and decision-making platform for modern workforces, has secured $12m in a Series A funding round to expand its reach and accelerate innovation.

The round was led by US-based Spark Capital, with additional backing from Blackbird in Australia and Cherry Ventures in Europe. This investment aims to bolster Ravio’s efforts to modernise compensation strategy through real-time data integration.

Founded in 2022, Ravio delivers continuously updated compensation benchmarks by connecting directly to HR systems. The platform serves companies across more than 46 countries, helping them simplify pay band infrastructure, run effective merit cycles, and prevent inequalities in salary structures.

The funding will support Ravio’s global growth ambitions and product development, including enhancements to predictive analytics and new hire benchmarking. The firm also plans to expand its dataset across more industries and regions while continuing to invest in next-generation tools to help companies manage pay more effectively.

Ravio’s client base already includes major consumer brands such as Just Eat Takeaway and Octopus Energy, as well as FinTech leaders Wise, Adyen and Mollie. Technology firms including Zoopla and Skyscanner also use the platform to inform their compensation strategies. The platform uses a give-to-get model that securely aggregates anonymised data from clients’ HR systems to generate live market insights.

Ravio co-founder and CEO Merten Wulfert said, “Market data hasn’t kept pace with today’s dynamic market. We’re bringing decades-old survey methodology into the modern age by plugging directly into our customers’ HR systems. This approach automates the data collection process and lets us continuously analyse market movements as they happen.”

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