ooligo

Pave

compensation-benchmarking salary-benchmarking · equity-benchmarking · compensation-planning · total-rewards · compensation-ai-agents
AI-NATIVE MCP FREEMIUM
Recruiting & TA
8.0 /10

What it is

Pave is a real-time compensation benchmarking and planning platform. Instead of buying an annual salary survey, a customer connects its HRIS, ATS and cap-table tools, and Pave pools the anonymised pay data of every connected company into live benchmarks for salary, bonus and equity. Its pricing page counts 9,000+ participating companies, 290+ job families, and coverage of 60+ countries and 90+ metros. It is the product the rest of the category measures itself against: Compa and Ravio both position against it.

Pave was founded in 2019 in San Francisco by CEO Matt Schulman. Andreessen Horowitz led its $16M Series A in December 2020, and Index Ventures led a $100M Series C in June 2022 that came with the purchase of Morgan Stanley’s Advanced-HR business (Option Impact and the VC executive compensation survey). Pave’s own investor page puts total funding at $160M.

The question it answers for a recruiting team: what should this offer be, in cash and equity, against companies that actually look like ours, this month?

Why it shows up in recruiting stacks

Recruiters lose finalists when they price against stale survey bands, and the damage shows up in offer acceptance rate. Pave addresses this at three points.

Benchmarks from connected systems. The integrations page lists 17 HRIS connectors (including Workday, Rippling, BambooHR, HiBob, ADP, Personio and UKG), three ATS connectors (Greenhouse, Ashby, Lever) and six equity platforms including Carta, Pulley and E*Trade. The Recent Hire filter on the paid tier narrows a benchmark to what peers paid people they hired recently, which is the closest thing to offer data.

The Pave Agent. Pave has shipped the agent in steps through 2026. On 13 August it was extended to reason over a customer’s merit-cycle history, pay ranges and uploaded documents, with every recommendation citing its sources. On 17 August it was paired with live job-posting data. On 15 September it gained web search for questions Pave’s own data cannot answer, such as a competitor’s equity policy or a state pay-transparency rule. On 2 October it started producing the deliverable itself (decks, documents, dashboards). The same answers are reachable from Claude over MCP, so a recruiter drafting an offer does not have to leave their assistant.

The offer itself. The Visual Offer Letter add-on shows a candidate their total compensation, including the equity, as an interactive page instead of a PDF line item. For startups where equity is a large share of the package, that is the part of the offer candidates misread most.

Pricing reality

Pave publishes tiers, not prices.

  • Market Data Lite is free: salary and equity benchmarks for the US plus one other market, from the same 9,000+ company dataset.
  • Market Data Pro (quote) adds custom peer groups, all 60+ countries, the Recent Hire filter and unvested equity benchmarks.
  • Agentic Market Intelligence (quote) adds the Pave Agent and MCP access.
  • Agentic Workflows (quote) adds market pricing, Pave as a comp data warehouse, and unlocks the Compensation Planning, Team View, Total Rewards and Visual Offer Letter add-ons.

Vendr’s buyer data puts the median contract at $36,150 a year, with an observed range of about $8,500 to $74,000. By company size Vendr reports $15,000-45,000 a year at 100-500 employees, $40,000-100,000 at 500-1,500, and $90,000-200,000+ above 1,500. Vendr also says implementation and premium data fees can add 10-30% to year one. Treat these as directional: they come from a firm that sells negotiation services.

Best for

Compensation and TA operations leads at US-headquartered, venture-backed companies of roughly 100-1,500 employees, where equity is a real part of the offer and the comp team also needs merit cycles in the same tool. Start on the free Lite tier to check whether your job families are covered before you talk to sales.

Skip it if most of your headcount is in Europe, if you need a named survey house for board or audit purposes, or if your hiring is mostly hourly frontline roles with no equity.

Versus the alternatives

Aon Radford and Mercer are the two largest survey providers in tech and enterprise pay. Pick them when a compensation committee or auditor expects a named survey, or for executive pay.

Compa is the fastest-growing challenger, with a $35M Series B in January 2026, a dataset of peer offers rather than employee pay, and an agent that auto-approves in-policy offers. Pick Compa for enterprises of 2,000+ employees on Workday where recruiters price offers against offers. Pick Pave below that size, or when you want to start free.

Ravio is the pick for European companies of 100-2,000 employees, at a lower entry price and with EU Pay Transparency Directive reporting built in.

Watch-outs

  • Give-to-get means your pay data is in the pool. Benchmarks are built from connected customers’ HRIS and cap tables. Guard: get the anonymisation rules and minimum cell sizes in writing before connecting, and clear the data flow with legal and, in EU entities, the works council.
  • Coverage gaps in niche roles and levels. G2 reviewers flag thin benchmarks for some functions and blurred IC-versus-leadership splits. Guard: on Lite, price your ten hardest-to-fill roles before buying; any role with a thin sample needs a second source.
  • Equity is valued at the last round. A reviewer notes Pave values equity at the last funding valuation, which flatters packages at companies whose next round would come in lower. Guard: in the Visual Offer Letter, show share count and strike price next to the dollar value, and have finance sign off on the valuation shown.
  • Year-one cost creeps. Add-ons are only available on the top tier, and implementation fees come on top. Guard: price every module you will need in the first quote, take a multi-year term only with an escalator cap of 3-5%, and time the signature for quarter-end.