Pave is a compensation management and benchmarking platform built for teams that plan and execute pay decisions. It replaces annual, self-reported surveys with continuous access to a compensation dataset drawn from thousands of participating companies.
The platform targets a specific problem: stale market data and spreadsheet-based compensation processes. In competitive fields like technology and AI, pay data can become outdated within weeks, so Pave focuses on keeping benchmarks current.
Pave connects to a company’s HR Information Systems, Applicant Tracking Systems, and Equity Management Systems through secure API connections. Once linked, it ingests and normalizes compensation data and applies AI-assisted job matching to align internal roles with its job catalog. Users can then query the data, build peer groups, and manage compensation cycles inside the platform.
Distinct elements include real-time API-driven data collection, detailed equity compensation visibility covering burn rates and unvested holdings, and Pave Agent, a generative AI assistant built to answer compensation and market pricing questions.
Pricing
Pave offers a free plan called Market Data Lite for companies with 1 to 200 employees, covering base salary and new hire equity benchmarks for the overall U.S. market plus one additional market. Paid tiers include Market Data Pro, priced as a single flat fee for global benchmarks, predictive insights, and peer group reporting, and the Full Suite, which adds modules such as Market Pricing, Compensation Planning, Team View, Total Rewards Portal, and Visual Offer Letter. Enterprise pricing is available on request for organizations scaling up to 50,000 or more employees. Specific dollar amounts for the paid plans are not published on Pave’s site.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Real-time compensation benchmarking from 9,000+ connected companies
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AI-assisted job matching and job leveling against a global catalog
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Pave Agent, an AI assistant for market pricing questions
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Market Pricing tools for building competitive salary ranges
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Compensation Planning module for centralized merit cycle budgets
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Equity insights covering new-hire grants, refresh grants, and vesting
Use Cases
Benchmarking Specialized Roles
Compensation teams use Market Data Pro to access real-time base salary, bonus, and equity data across more than 250 job families. This helps them price competitive roles, such as Machine Learning Engineer positions, accurately.
Running Annual Merit Cycles
HR and compensation leaders use the Compensation Planning module to execute salary reviews and promotions. The tool centralizes the budget, applies guardrails to limit exceptions, and gives managers worksheets to work from.
Evaluating Geographic Expansion
Business leaders use Pave Agent to assess the financial impact of opening a new office. It analyzes talent density and cost efficiency across more than 150 global markets and recommends locations along with geo-differentials.
Communicating Total Compensation
People Operations teams use the Total Rewards Portal to show employees the full value of their pay package. It combines base pay, bonuses, and real-time valuations of unvested equity to support retention.
Extending Job Ladders
Compensation analysts use Pave to build new levels into existing job functions. The platform analyzes progression ratios and market benchmarks to recommend pay bands for the new levels.
Strengths & Weaknesses
Strengths
Uses real-time API integrations with HR systems instead of self-reported survey data.
Includes detailed equity benchmarking that standard cash-focused surveys typically do not cover.
Offers a functional free tier for companies with 200 or fewer employees.
Provides an AI assistant, Pave Agent, built specifically to answer compensation and market positioning questions.
Prices Market Data Pro as a single flat fee rather than charging per data point or country.
Weaknesses
The free Market Data Lite plan is capped at companies with 200 employees or fewer.
Free tier geographic coverage is limited to the U.S. plus only one additional market.
Some pay types are not available in all 150-plus covered countries due to data sufficiency limits.
Specific pricing for the Pro and Full Suite tiers is not listed publicly on the website.
Who Is This For?
Compensation and Total Rewards leaders who need current, defensible market data and streamlined workflows to build pay bands and run merit cycles.
Founders and HR leaders at startups who can use the free Market Data Lite plan to set up structured pay practices and equity benchmarks early on.
People managers who need guided interfaces and guardrails during compensation review cycles to recommend and explain pay adjustments.
Talent acquisition and recruiting teams who use the Visual Offer Letter tool and real-time data to close candidates with market-aligned offers.
Frequently Asked Questions
How does Pave collect its compensation data?
Pave connects directly to HRIS and equity management systems through secure API connections. Data flows in and updates continuously instead of relying on manual survey submissions.
Who contributes to Pave’s compensation dataset?
The dataset includes more than 9,000 participating companies, ranging from early-stage startups to large enterprises.
What types of pay can I benchmark with Pave?
You can benchmark base salary, target bonus as a percentage and value, total cash compensation, new-hire equity, refresh equity, and total or unvested equity holdings.
Which locations does Pave cover for benchmarking?
Market Data Pro covers pay benchmarks in more than 150 countries and metros, including over 30 U.S. metros and more than 40 international metros.
Is there a free version of Pave?
Yes. Market Data Lite is free for companies with 1 to 200 employees and includes base salary and new hire equity benchmarks for the U.S. plus one other market.
How is Market Data Pro priced?
Market Data Pro uses a single flat price that includes all features, locations, and job families, without extra charges per data point or country.
What does Pave Agent do?
Pave Agent is a generative AI assistant built to answer compensation and market pricing questions instantly, such as evaluating hiring competitiveness for a role or location.
Does Pave integrate with existing HR software?
Pave connects to HR Information Systems, Applicant Tracking Systems, and Equity Management Systems through secure API connections, though specific third-party product names are not listed publicly.
What is included in the Full Suite plan?
The Full Suite includes Market Data Pro along with Market Pricing, Compensation Planning, Team View, Total Rewards Portal, and Visual Offer Letter modules.
Pave’s published sources do not list specific third-party integration brand names. Integrations are described by system category: HR Information Systems (HRIS) sync organizational structures, rosters, job codes, and current compensation data. Equity Management Systems (EMS) provide data on equity grants, unvested holdings, burn rates, and vesting schedules. Applicant Tracking Systems (ATS) map new hire data and connect to candidate-facing workflows like the Visual Offer Letter.