Pave
Real-time compensation data and AI-infused workflows for smarter pay decisions.
Executive Summary
Pave is an end-to-end compensation management platform that aggregates real-time compensation data from thousands of companies to provide accurate benchmarks. It empowers HR teams and compensation professionals to make data-driven pay decisions, manage pay ranges, run merit cycles, and communicate total rewards effectively. The platform differentiates itself through its extensive real-time dataset, predictive machine learning, and AI-infused workflows, transforming compensation into a competitive advantage.
Use Cases
- Benchmark compensation against real-time market data to ensure competitiveness.
- Price new jobs and build competitive pay ranges using automated data analysis.
- Plan and execute merit cycles efficiently with built-in workflows and approvals.
- Communicate total rewards transparently to employees and candidates through dynamic portals.
- Analyze and address pay equity gaps within the organization.
- Optimize executive compensation packages with market-validated benchmarks.
Features
Visibility
- Real-Time Compensation Benchmarking: Access up-to-date market data from over 8,600 companies to benchmark salaries and equity for various job families and roles.
- Pay Equity Analysis: Analyze salary trends and identify gaps in pay equity to ensure fair and consistent compensation practices across the organization.
- Dynamic Total Rewards Portals: Communicate the full value of compensation to employees and candidates through personalized, interactive total rewards statements and visual offer letters.
- Executive Compensation Insights: Gain a holistic perspective on executive compensation trends with detailed reports and benchmarks from a diverse set of companies.
Intelligence
- AI-Assisted Job Matching: Utilize advanced AI to automatically match internal roles to Pave's job architecture for accurate benchmarking and range setting.
- Predictive Machine Learning for Equity: Leverage machine learning to right-size new hire equity awards and gain insights that traditional surveys cannot provide.
- Pay Band Optimization: Use AI models to blend and smooth inputs from multiple data sources, creating optimized and competitive pay ranges in minutes.
- Compensation Risk Flags: Identify and flag potential compensation risks or anomalies within the organization to ensure compliance and fairness.
Support
- Support Portal: Access a dedicated online portal for submitting non-critical issues and finding answers to frequently asked questions.
- Email Support: Direct email access to the support team for assistance with product-related queries and issues.
- In-App AI Assistant ('Paige'): Receive immediate generative responses and assistance directly within the application, with the option to escalate to a human team member.
- Product Documentation: Comprehensive guides and resources to help users navigate the platform and maximize its functionalities.
Technical Specifications
- Architecture
- Cloud-native SaaS, unified intelligence layer
- Deployment
- Cloud/SaaS
- Authentication
- SSO, Google SSO, Okta, Email + Password
- API Available
- Yes
- MCP Server
- No
Infrastructure
- GCP
AI/ML Stack
- Machine Learning
- Vertex AI
- Gemini
- NLP
Integrations
- Workday
- BambooHR
- Rippling
- Gusto
Security & Compliance
Certifications: SOC 2 Type II, SOC 1 Type II, ISO 27001, GDPR, CCPA
Encryption: Data encryption, in-product data protection protocols
Pricing
- Model
- Per employee/year, Tiered subscription, Custom enterprise
- Starting Price
- Market Data pricing starts at $95 per employee annually (with volume discounts); Basic plans around $7-$20 per employee/month. Contact sales for full platform pricing.
- Target Customer
- SMB to Enterprise
- Contract Type
- Annual
- Free Trial
- Yes, Limited free access to Market Data Lite (credit card required)
About Pave
Pave provides real-time compensation data and planning tools to help companies make fair, competitive pay decisions.