
Pave
Founded Year
2019Stage
Series C | AliveTotal Raised
$162.98MValuation
$0000Last Raised
$100M | 3 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-56 points in the past 30 days
About Pave
Pave is a company that provides compensation management software within the HR technology sector. The platform includes compensation data, market data benchmarking, and workflows for compensation planning and communication. Pave serves the HR and talent management sectors, offering tools for compensation strategies and processes. It was founded in 2019 and is based in San Francisco, California.
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Pave's Product Videos



ESPs containing Pave
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The compensation management and planning market provides solutions that enable employers to efficiently manage their total compensation packages for employees. These software platforms offer analytics, benchmarking, and planning tools to assist companies in navigating various geographies, roles, and levels, while ensuring equitable practices. Many vendors offer comprehensive end-to-end compensatio…
Pave named as Leader among 15 other companies, including Automatic Data Processing, Carta, and Syndio.
Pave's Products & Differentiators
Benchmarking
Real-time salary and equity benchmarks
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Research containing Pave
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Pave in 2 CB Insights research briefs, most recently on Sep 11, 2024.

Expert Collections containing Pave
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Pave is included in 4 Expert Collections, including HR Tech.
HR Tech
5,910 items
The HR tech collection includes software vendors that enable companies to develop, hire, manage, and pay their workforces. Focus areas include benefits, compensation, engagement, EORs & PEOs, HRIS & HRMS, learning & development, payroll, talent acquisition, and talent management.
Unicorns- Billion Dollar Startups
1,257 items
Fintech
9,394 items
Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.
Fintech 100
250 items
250 of the most promising private companies applying a mix of software and technology to transform the financial services industry.
Pave Patents
Pave has filed 6 patents.
The 3 most popular patent topics include:
- floors
- garden features
- honeycombs (geometry)

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
2/18/2021 | 9/17/2024 | Pavements, Mirrors, Garden features, Floors, Hydrology | Grant |
Application Date | 2/18/2021 |
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Grant Date | 9/17/2024 |
Title | |
Related Topics | Pavements, Mirrors, Garden features, Floors, Hydrology |
Status | Grant |
Latest Pave News
Jul 13, 2024
Cyber security (Representative Image) In a major breakthrough in cybersecurity, a team of Indian scientists has created a new, user-friendly way to generate truly unpredictable random numbers, which is crucial for stronger encryption in quantum communications. This method could revolutionise how sensitive data is protected in the future. Quantum cryptography, also known as quantum encryption, refers to various cybersecurity methods for encrypting and transmitting secure data based on the naturally occurring and immutable laws of quantum mechanics. The Raman Research Institute, Bengaluru, which is an autonomous institute of the Department of Science and Technology (DST), performed a photonic experiment to demonstrate a violation of what is called the Leggett Garg Inequalities (LGI) -- a litmus test for "quantumness" in a system in a loophole-free manner. Taking this further, over the last few years, the researchers at RRI'S Quantum Information and Computing (QuIC) lab carried out extensive research in collaboration with researchers from Indian Institute of Science (IISc), Bengaluru, IISER-Thiruvananthapuram and the Bose Institute, Kolkata to use such LGI violation in a completely unexplored domain-- truly unpredictable random number generation, secure against device tampering and imperfections. These numbers are crucial in applications like cryptographic key generation, secure password creation and digital signatures among others. “We have successfully generated random numbers using temporal correlations certified by the violation of the Leggett Garg Inequality (LGI)," said Professor Urbasi Sinha, faculty at the QuIC lab at Raman Research Institute, and the corresponding author of the paper published in the Physical Review Letters. "These are temporal analogues of the popularly known Bell inequalities-- a set of mathematical expressions that compare the predictions of quantum mechanics with those of classical physics. Our experimental setup ensures a loophole-free violation of LGI, providing an additional advantage of generating loophole-free randomness,” Professor Sinha added. According to the researchers, this new method offers the enhanced protection "we all need in our daily lives, by using truly random numbers to generate keys that will be used to encrypt the passwords". There are several advantages to generating certified random numbers using this method. "These include the creation of strongly protected passwords, enhanced account security by resisting brute-force attacks, ensuring uniqueness, integrity thereby preventing forgery and token generation with multi-factor authentication, adding a crucial security layer in this vulnerable cyber world," explained Dr Debashis Saha, IISER Thiruvananthapuram faculty and co-author of the study. The experiment generated over 9,00,000 random bits at a rapid rate of nearly 4,000 bits/second. This high random number generation can help in using these numbers towards various applications that require rapid randomness. With further engineering interventions and innovations, devices adopting this method could find powerful applications not only in cybersecurity and data encryption, but also in the context of varied types of randomness-based simulations and randomized control trial statistical studies in diverse important areas. “These include economic surveys, drug designing/testing, as well as for any futuristic technology that would rely on provable unpredictability as a critical resource”, said Bose Institute’s Professor Dipankar Home, another co-author of the study.
Pave Frequently Asked Questions (FAQ)
When was Pave founded?
Pave was founded in 2019.
Where is Pave's headquarters?
Pave's headquarters is located at 1 Montgomery Street, San Francisco.
What is Pave's latest funding round?
Pave's latest funding round is Series C.
How much did Pave raise?
Pave raised a total of $162.98M.
Who are the investors of Pave?
Investors of Pave include Y Combinator, Andreessen Horowitz, Index Ventures, Tudor Havriliuc, Jeff Weiner and 15 more.
Who are Pave's competitors?
Competitors of Pave include Assemble, Ravin AI, Aeqium, Comprehensive, Salary.com and 7 more.
What products does Pave offer?
Pave's products include Benchmarking and 4 more.
Who are Pave's customers?
Customers of Pave include Dropbox.
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Compare Pave to Competitors

Payscale focuses on compensation data and technology in the human resources industry. The company offers solutions for managing compensation, providing multiple streams of fresh, transparently curated, and validated salary data. It also provides software for automating compensation management and tools for salary comparison and job pricing. It was formerly known as Underpaid.com. It was founded in 2002 and is based in Seattle, Washington.

Salary.com provides employee compensation data, software, and services within the human resources technology sector. The company offers tools for compensation management, including salary data, compensation planning, and job market analysis for employers, as well as resources for career development and salary negotiation for individuals. Salary.com serves enterprises, small businesses, and individuals. It was founded in 1999 and is based in Waltham, Massachusetts.
Comprehensive is a company specializing in compensation management software within the human resources sector. Its main offerings include tools for salary benchmarking, compensation reviews, and visualization of total rewards, designed to facilitate efficient, transparent, and equitable compensation decisions. The software primarily caters to businesses looking to automate their compensation processes and integrate with existing HR systems. It was founded in 2021 and is based in San Francisco, California.
MorganHR is a company that provides HR compensation consulting and software solutions within the human resources sector. The company offers services including compensation consulting, management software for workforce, training for manager conversations, and talent search for professionals. MorganHR primarily serves sectors needing effective compensation strategies and management, including corporate HR departments. It is based in Deer Park, Illinois.
Kamsa specializes in compensation management within the human resources sector. The company offers a software platform that leverages real-time global salary data and AI tools to assist organizations in making data-driven pay decisions, alongside expert consultancy for compensation strategy and implementation. Kamsa primarily serves businesses looking to streamline their compensation management processes. Kamsa was formerly known as CultivatePeople. It was founded in 2017 and is based in Arlington, Virginia.
LaborIQ focuses on compensation and labor market analytics software within the human resources technology sector. The company's main offerings include tools for salary benchmarking, compensation planning, and labor market forecasting to assist businesses in attracting new hires and retaining employees. LaborIQ primarily serves human resources professionals, recruiters, and human resources consultants. It was founded in 2019 and is based in Dallas, Texas.
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