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What is Pave?

Optimize and assess your compensation strategies effortlessly with Pave. This innovative platform allows you to refine your compensation decisions while eliminating the hassle of complex spreadsheets, thanks to its integrated real-time connections with your HRIS, ATS, and Cap Table. Historically, managing merit cycles has been a labor-intensive process, requiring teams to gather numerous compensation reports and keep various spreadsheets for different managers. Pave resolves this issue by centralizing compensation data in real-time, making it easier to handle merit cycles from one unified interface. Additionally, candidates and employees often do not have a clear view of their entire compensation package, which includes equity, bonuses, and benefits. Pave empowers you to clearly showcase the full range of offerings, which is crucial for attracting and retaining high-caliber talent. Many conventional surveys demand regular manual uploads, resulting in outdated compensation data. In contrast, Pave provides the most accurate real-time compensation benchmarking insights by swiftly integrating your systems within minutes. With this forward-thinking approach, traditional compensation surveys become obsolete, emphasizing that total rewards involve more than just salary. Ultimately, Pave redefines how organizations handle and communicate compensation, fostering transparency and simplifying the entire process, while also paving the way for more informed decision-making.

What is Kamsa?

Harness the power of global market insights along with experienced compensation specialists to optimize your greatest asset: your employees. Strengthen your compensation choices with strategies grounded in data. Our hybrid approach combines Kamsa's meticulously curated, real-time salary data with the knowledge of our consultants, fostering the creation, support, and implementation of personalized compensation strategies for clients. Drawing from information across more than 500 companies for over 2,000 job positions in 80 distinct global market datasets, you can seamlessly navigate job leveling and career progression. Our cutting-edge AI-driven compensation platform allows you to benchmark your employees' salaries against market standards, unveil compensation trends, facilitate immediate budgeting, and carry out salary and equity evaluations. Work alongside our compensation experts who will closely partner with your team to identify and prioritize your compensation goals. Kamsa guarantees that market data aligns accurately with your specific roles through a smooth onboarding experience. Additionally, tap into our vast compensation and equity market insights to refine job leveling, workforce planning, and the creation of compensation ranges, thereby bolstering your overall compensation strategy for long-term business prosperity. This thorough methodology not only positions your organization to attract top talent but also to maintain it amid a competitive landscape, fostering a thriving workplace culture. By prioritizing comprehensive compensation strategies, you are investing in the future success of your organization.

Media

Media

Integrations Supported

BambooHR
Carta
Charlie HR
Gusto
Justworks
LendAPI
Lever
Paylocity
Rippling
Shareworks
Workday Extend

Integrations Supported

Airalo
Clarify
Maze
Natron
PathAI
Redox
Templafy
Valimail

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Pave

Company Location

United States

Company Website

www.pave.com

Company Facts

Organization Name

Kamsa

Date Founded

2017

Company Location

United States

Company Website

www.kamsa.co

Categories and Features

Pay Equity

Not specified

Salary Benchmarking

Not specified

Categories and Features

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