Pave

What Pave does

Pave is an AI-powered compensation management platform serving compensation and total rewards professionals at enterprises and growth-stage technology companies. Founded in 2020 by Matt Schulman (formerly of Meta, Wharton economics graduate) and headquartered in San Francisco, the company operates as Trove Information Technologies, Inc. and has built a unified platform spanning compensation benchmarking, pay range pricing, merit cycle management, total rewards communication, and offer letter generation. The platform is built entirely on Google Cloud, leveraging Vertex AI and Gemini to power AI-assisted job matching, pay band optimization, compensation risk flagging, predictive benchmarking through machine-learning-blended data sources, and an interactive conversational AI agent branded as Pave Agent (Paige).

The product portfolio spans a free Market Data Lite tier (for companies with 1–200 employees), a premium Market Data Pro subscription, and a Workflows suite covering Market Pricing, Compensation Planning (including the Q1 2025-launched Cycle Insights reporting), Team View, Total Rewards Portal, and Visual Offer Letter. Pave monetizes through annual enterprise subscriptions sold via a sales-led motion targeting enterprise and mid-market buyers, supplemented by a self-serve free tier and a partner ecosystem that includes HCM/ATS/EMS technology integrations and compensation consultants. The company's 9,000+ company dataset, significantly expanded via the June 2022 acquisition of Advanced-HR (Option Impact) from Morgan Stanley, positions it as the world's largest private-company compensation database, and underpins both its benchmarking products and its ML-derived "Calculated Benchmarks" that fill data gaps.

Pave has raised $160 million across four rounds, most recently a $100 million Series C in June 2022 at a $1.6 billion valuation, with Andreessen Horowitz, Index Ventures, YC Continuity Fund, Bessemer Venture Partners, and Craft Ventures as core financial backers. Named enterprise customers include Databricks, Cloudflare, Xero, Workato, Clio, Chronosphere, Checkr, Cockroach Labs, SharkNinja, Dandy, Dropbox, and Instacart, with published outcome metrics showing cycle time compression from months to weeks. The company maintains ISO 27001, SOC 2 Type 1 and Type 2, GDPR, CCPA, and EU Data Act compliance and is actively expanding geographically into Europe.

Name

Pave

Legal name

Trove Information Technologies, Inc.

Website

https://pave.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

101–250 employees

Short description

Pave is an AI compensation management platform serving enterprise and growth-stage companies with integrated tools for real-time benchmarking, merit cycle planning, and total rewards communication, leveraging a dataset of 9,000+ companies on Google Cloud infrastructure.

Ownership category

akta.pro rank

Product category

Compensation Management Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

eSignature, Forms & Digital Workflow Platforms (HDAEAHAJ)

Keywords

• Compensation management software
• Compensation benchmarking
• Merit cycle planning
• Total rewards platform
• Market pricing tools

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Subscription-based SaaS: Pave operates as a compensation management SaaS platform selling subscriptions to its full suite of products. The company offers multiple tiers including Market Data Lite (free), Market Data Pro, and Workflows software. Subscriptions are sold to companies needing compensation benchmarking, planning, and management capabilities.
2. Market Data Pro: Premium compensation data and predictive insights designed for total rewards professionals, sold as a subscription tier.
3. Enterprise Software - Workflows: Compensation ecosystem workflows for enterprises with powerful tools ensuring every pay decision adds business value.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels8 records

Core offering

Pave is an AI-powered compensation platform that combines real-time market benchmarking data with workflow software for planning merit cycles, modeling budgets, generating offer letters, and communicating total rewards to employees. Its core products span compensation data (Market Data Pro/Lite), planning and modeling (Compensation Planning, Team View), and employee-facing communication (Total Rewards Portal, Visual Offer Letters), with an AI assistant (Pave Agent/Paige) built on Google Cloud's Vertex AI and Gemini.

Product overview

Pave is an AI-powered compensation platform providing a unified ecosystem for compensation benchmarking, planning, and communication. The platform consists of Market Data products (Market Data Pro and Market Data Lite) delivering real-time compensation benchmarks from over 9,000 companies, combined with Compensation Management tools including Market Pricing, Compensation Planning, Team View, Total Rewards Portal, and Visual Offer Letter. Pave Agent provides AI-powered conversational insights, while Pave Data Lab offers an insights community for compensation professionals. The platform leverages Google Cloud infrastructure with Vertex AI and Gemini for job matching, pay band optimization, and risk flagging.

Differentiator

Problem solved

Functional benefit

Brands

• Pave Agent: AI compensation intelligence agent designed to help find insights for compensation programs through an interactive chat interface.
• Market Data Pro
• Market Data Lite
• Market Pricing
• Compensation Planning
• Total Rewards Portal
• Team View
• Visual Offer Letter
• Pave Data Lab

Products and services

• Market Data Lite Free-tier compensation benchmarking product that provides access to a subset of Pave's real-time market data, enabling compensation professionals and HR teams to look up market salary data points without a paid subscription.
• Market Data Pro Paid subscription product providing full access to Pave's real-time compensation benchmarking dataset, including AI-powered job matching, peer set selection, and filters by role, level, location, and company size. Used by compensation and total rewards professionals at mid-market and enterprise companies.
• Market Pricing Tool that allows compensation teams to run market price points for specific roles, applying Pave's real-time benchmarking data to set competitive salary ranges. Used by compensation professionals to inform range construction.
• Compensation Planning Workflow software for running annual merit, bonus, and equity refresh cycles, including manager recommendations, HR/finance review, approvals, and integration with HRIS/payroll systems.
• Team View Budget modeling and headcount planning tool that lets compensation leaders visualize the cost impact of merit, bonus, and equity decisions across teams and departments before finalizing awards.
• Total Rewards Portal Employee-facing portal that communicates total rewards statements (base, bonus, equity, benefits) to employees, supporting pay transparency and employee understanding of compensation.
• Visual Offer Letter Tool that generates visual, branded offer letters illustrating the full compensation package (base, bonus, equity) for new hires, designed to improve offer acceptance rates.
• Pave Data Lab Advanced analytics workbench that enables compensation teams and data analysts to run custom analyses, build reports, and explore Pave's compensation dataset for deeper insights.
• Pave Agent (Paige) Generative AI assistant branded as "Paige," built on Google Cloud's Vertex AI and Gemini, providing a conversational interface for compensation benchmarking, job matching, and analytics queries within the Pave platform.
• Pave Workflows (Platform) End-to-end compensation management platform that combines benchmarking (Market Data), planning workflows, modeling (Team View), and communication (Total Rewards Portal, Visual Offer Letters) into a single integrated system replacing fragmented compensation tooling.

Quantifiable outcome

• Compensation cycles reduced from 2 months to 3 weeks
• +5 more outcomes

Named customers9 records

Segments3 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration1 record

AI capability9 records

Feature10 records

Partnerships

Seven partnerships are on record, tiered minor, core and supporting.

• PAVE EuropeminorGTM or Marketing Partner · 13 March 2026Strategic partnership for Vehicle Tech Week Europe event in Stuttgart, Germany (June 23-25, 2026) - appears to be a different PAVE organization focused on automotive testing/expo.
• Culture AmpcoreTechnology or Integration · 3 December 2025Culture Amp's new partner ecosystem includes Pave to expand HR technology integrations. The partnership aims to improve HR processes, data accuracy, and employee experience by offering customizable and integrated solutions.
• NewfrontcoreGTM or Marketing Partner · 23 February 2025Strategic partnership to simplify employee benefits and compensation management. Pave and Newfront combined proprietary data to create the True Cost of Hiring Report providing total rewards benchmarks.
• Carver EdisonsupportingStrategic or Co-development Partner · 12 September 2024Partnership to broaden employee ownership and optimize equity programs for public companies.
• Google CloudcoreTechnology or IntegrationPave is built entirely on Google Cloud, utilizing Vertex AI and Gemini to power AI capabilities including smart job matching, intelligent search, pay band optimization, compensation risk flags, and the Pave Agent named Paige. This provides security, scalability, and speed for enterprise-grade compensation planning.
• Alpine RewardssupportingGTM or Marketing PartnerPartner for Compensation Forums and Merit Cycle State of the Union webinar, presenting on pay practices to watch in 2025.
• NewfrontcoreStrategic or Co-development PartnerCo-developed Total Rewards Report: The True Cost of Hiring in 2025, combining proprietary datasets to reveal fully-loaded cost of hiring across company sizes, industries, and locations.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Emerging players

• Compa: Compa is an emerging AI-native compensation intelligence platform that ingests HRIS data to provide real-time market benchmarks and pay-equity insights. It competes with Pave on AI-first positioning and is a credible disruptor for the lower end of the enterprise market.
• Carta: Carta is the dominant equity management and cap-table platform for private companies and is expanding into broader compensation benchmarking. Its overlapping private-company customer base and equity compensation data make it a meaningful adjacent competitor to Pave.
• Lattice: Lattice is a people-management platform focused on performance, engagement, and (recently) compensation. As Lattice expands into comp planning and benchmarking workflows, it competes with Pave for the HR-tech budget of mid-market and growth-stage employers.

Broad incumbents

• ADP: ADP is a global payroll and HCM incumbent serving millions of employers. ADP's compensation data and benchmarking capabilities (including via ADP DataCloud) compete with Pave, especially as ADP expands its mid-market and enterprise analytics offerings.
• Mercer: Mercer is a long-established global consulting incumbent offering Mercer | Comptryx compensation surveys and benchmarking alongside broader HR consulting. It competes with Pave's Market Data products in the enterprise and multinational segments.
• Workday: Workday is a dominant enterprise HCM and financial management platform with native compensation planning and benchmarking modules. As Workday embeds AI comp features, it represents the most significant bundling threat to Pave's stand-alone Compensation Planning workflow product.
• UKG (Ultimate Kronos Group): UKG is a major HCM and workforce management incumbent that acquired PayScale in 2022. It now bundles PayScale's comp benchmarking with its HCM platform, posing a direct bundled-platform threat to Pave's enterprise comp planning workflows.
• Radford (Aon): Radford, owned by Aon, provides compensation surveys and benchmarking tools with strong penetration in technology and life sciences. It is a primary incumbent competitor to Pave's Market Data Pro offering, especially for tech and growth-stage clients.

Direct peers

• Salary.com: Salary.com provides compensation data, salary benchmarking tools, and HR analytics to enterprises and individuals. It competes directly with Pave's Market Data Pro and Market Pricing products and is increasingly embedding AI-driven comp insights.
• PayScale (now part of UKG): PayScale is the closest direct competitor to Pave, offering compensation benchmarking data and software to HR professionals. Acquired by UKG in 2022, it now bundles comp benchmarking with UKG's broader HCM suite, directly competing for the same enterprise comp-benchmarking wallet share.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/pavecomp
• YouTubeyoutube.com/@pavecompensation
• Facebookfacebook.com/pave
• LinkedInlinkedin.com/company/pave-comp
• Instagraminstagram.com/pavecomp

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Subsidiaries1 record

Funding overview

Funding rounds4 records

Investors19 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Pave