3. Real-time compensation benchmarking software
The first two categories in this guide are, at their core, ways to work with traditional salary survey data – better interfaces for accessing it, or better tools for managing it across multiple sources.
This third category is different in kind.
Real-time compensation benchmarking software is a software-first approach to the same underlying problem: understanding what the market pays for a given role.
Rather than building on the old-school salary survey model, these benchmarking platforms replace it – pulling compensation data directly from company HR systems via live integrations, and delivering benchmarks through a purpose-built platform rather than as a data product bolted onto a consultancy.
It's the modern alternative to salary surveys in software form.
It changes several things in practice:
- Benchmarks update continuously as contributing companies make pay changes, rather than on a fixed annual or quarterly cycle
- There's no survey submission process to contend with – data contribution is automated via the HRIS connection, removing the manual overhead and the errors that come with it
- Job mapping is handled at onboarding (usually supported by the software provider’s team), not repeated each year manually when a new survey is released
- Peer groups are configurable by funding stage, company size, industry, and location using filters in-platform – not determined by which companies happened to participate in a given survey or which datasets you can afford to pay for
- Compensation management tools – like salary band creation, pay equity analysis, or compensation review workflows – are typically built into the same platform.
And those changes show up clearly in how compensation decisions get made day to day.
As Evert Kraav, Senior Compensation Manager at Bolt, describes it: "We don't have to worry about expired or old data or how we should age it. Those questions go out of the window now that we have Ravio."
Ravio is a dedicated compensation benchmarking platform – software-first, built around live HRIS integrations rather than survey submissions.
Where the salary survey tools in the first two categories are built by consultancies that added software later, Ravio is built the other way around: the platform is the product, and the data flows through it continuously rather than arriving as a periodic export.
That means the limitations of the survey model don't apply.
Data comes directly from source systems and updates continuously after setup, so there's no manual submission overhead and no errors introduced by the give-to-get process.
A team of data scientists validates benchmarks monthly, removing outliers, checking statistical robustness, and publishing sample size and confidence indicators per benchmark so you can see how reliable a given figure is before you use it.
The peer group is configurable – by funding stage, company size, industry, and location – so you're comparing against companies that actually resemble yours, not whichever large enterprises dominated participation in a given survey cycle.
And job mapping is handled at onboarding by Ravio's team of experts, so you're not spending weeks aligning your internal roles to an external job catalogue before you can use the data.
Beyond benchmarking, Ravio’s compensation software also includes other market trends data, salary band creation, pay equity analysis, and more.
You can also upload external datasets – including traditional survey data – and compare them side by side within the platform, which is how teams like Bolt use it: Ravio for fast-moving tech roles and markets, survey data for broader coverage where they need it.