# Pave

**Source:** https://geo.sig.ai/brands/pave  
**Vertical:** HR Tech  
**Subcategory:** HR Software  
**Tier:** Emerging  
**Website:** pave.com  
**Last Updated:** 2026-04-14

## Summary

Real-time compensation benchmarking and band management platform; crowdsourced data from customer network replaces annual surveys for pay equity compliance.

## Company Overview

Pave is a compensation intelligence and management platform helping companies benchmark salaries, design compensation bands, and communicate pay equity to employees and candidates. Founded in 2019 and headquartered in San Francisco, Pave aggregates real-time compensation data from thousands of companies through its customer network to provide continuously updated benchmarking that replaces expensive annual compensation surveys from Radford, Mercer, and comparable firms.

The company raised $46 million in Series B funding in 2022, backed by Andreessen Horowitz and others, and has grown rapidly as pay transparency legislation spreads across US states and companies face pressure to demonstrate equitable compensation practices. Pave's platform covers the full compensation management workflow: benchmark role against market data, set internal bands, model offer scenarios, communicate total compensation packages to employees, and generate pay equity analyses for leadership and boards.

In 2025, Pave has become particularly relevant as pay transparency laws in California, New York, Colorado, and other states require companies to publish salary ranges in job postings — forcing many organizations to formalize compensation bands for the first time. The company competes with Radford (Aon), Mercer, and newer entrants like Levels.fyi (consumer) and Compa. Pave's real-time crowdsourced benchmark model is its key differentiator over annual survey cycles, giving HR leaders access to current market rates rather than data that is 6-18 months old by the time it reaches users.

## Frequently Asked Questions

### What is Pave?
Pave is a real-time compensation benchmarking platform that helps companies make smarter pay decisions. Founded in 2019 and based in San Francisco, Pave operates the world's largest compensation database for private companies after acquiring Option Impact.

### What products and services does Pave offer?
Pave offers real-time compensation benchmarking, equity planning and modeling, total rewards management, offer benchmarking, and compensation analytics. These tools help companies manage and optimize their compensation strategies.

### Who are Pave's customers?
Pave serves over 8,500 customers including notable companies like Databricks, OpenAI, Ramp, and Roblox. The platform is designed for companies seeking data-driven compensation decision-making.

### When was Pave founded?
Pave was founded in 2019 and participated in Y Combinator's S20 batch.

### Where is Pave headquartered?
Pave is headquartered in San Francisco, California.

### What is Pave's latest funding round?
In June 2022, Pave raised a $100 million Series C at a $1.6 billion valuation, led by Index Ventures. This round coincided with their acquisition of Option Impact from Morgan Stanley.

### How large is Pave's compensation database?
Pave operates the world's largest compensation database for private companies, containing over 1 million employee records. This database was expanded through the acquisition of Option Impact.

### What technology approach does Pave use?
Pave provides real-time compensation benchmarking, allowing companies to access up-to-date market data for compensation decisions. The platform aggregates data across its extensive customer base and employee records.

### How can I get started with Pave?
Based on the provided information, specific onboarding details are not available. Companies interested in Pave should visit their website or contact their sales team directly.

### What recent partnerships has Pave announced?
In 2024, Pave partnered with Greenhouse to launch Offer Insights. This partnership integrates Pave's compensation data with Greenhouse's recruiting platform.

## Tags

b2b, saas, hr-tech, analytics, enterprise

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*