PaveOS

PaveOS

PavePave — The AI-powered operating system for compensation

Pave provides an AI-powered compensation platform built on real-time data from HRIS, ATS, and equity systems. Organizations use Pave to benchmark pay globally, price jobs, manage compensation cycles, and communicate total rewards. Trusted by 8,700+ companies, Pave offers Market Data (Lite and Pro) and compensation management workflows with enterprise-grade security and privacy.

Compensation & Benefitssaas

Use Case

Unify compensation intelligence and workflows to set, manage, and communicate pay with confidence. Typical use cases include: pricing new jobs and building pay ranges using real-time market data; running You vs. Market analyses to benchmark pay; executing annual/ongoing compensation planning cycles for salary, bonus, and equity; market pricing roles across geographies with geo‑differentials; ensuring pay equity by flagging employees outside established ranges; generating data-backed visual offer letters and a total rewards portal to communicate value; surfacing workforce metrics (level distribution, span of control) and risks; and giving leadership defensible insights backed by an always-fresh dataset from 8,700+ companies across 50+ countries and 90+ metros. Paige, an AI compensation analyst built on PaveOS, accelerates analysis, explains confidence levels, cites data sources, and applies compensation logic tailored to company context.

Recruiting and HR teams struggle with slow, manual, or document-based offer processes that cause approval delays, inconsistent compensation details, and candidate confusion. Visual Offer Letter centralizes creation, approvals, and delivery so teams can present total compensation clearly (base, bonus, equity, benefits), reduce back-and-forth, speed time-to-accept, and elevate the candidate experience while maintaining control and compliance. It also demystifies equity by letting candidates explore potential value over time and across scenarios, helping employers close top talent with confidence.

Target Audience

Compensation leaders, total rewards teams, HR/People Ops, and Finance leaders at organizations of all sizes—from startups (1–200 employees, eligible for Market Data Lite) to global enterprises with 50,000+ employees—operating across multiple countries/metros and needing defensible, real-time compensation data and scalable planning workflows.

Data Residency

us

Target Segments

StartupKMUEnterprise

Source URLs

  • https://www.pave.com/company
  • https://www.pave.com/pricing?utm_source=openai
  • https://www.pave.com/blog-posts/real-time-integrations?utm_source=openai
  • https://www.pave.com/company/security-and-privacy?utm_source=openai
  • https://www.pave.com/integrations?utm_source=openai
  • https://www.pave.com/products/api?utm_source=openai
  • https://www.pave.com/blog-posts/pave-rippling-integration-make-data-driven-compensation-decisions-in-real-time?utm_source=openai
  • https://www.pave.com/pricing
  • https://support.pave.com/hc/en-us/articles/34380495680535-Smart-Flags?utm_source=openai
  • https://pave.com/products/paige?utm_source=openai
  • https://developers.pave.com/guides/overview?utm_source=openai