Compare Pave and Harver on pricing, features, platforms, and ratings — both HR tools, Custom vs Contact for pricing pricing to decide which fits your team.
At a Glance
Pave
Harver
Primary category
HR
HR
Rating
Not documented
Not documented
Pricing model
Custom
Contact for pricing
Starting price
Custom (contact sales); free benchmarks available via Market Data Lite for companies with 1-200 employees
Not documented
Free plan
Yes
Not documented
Free trial
Not documented
Not documented
Platforms
Web
Web
Team collaboration
Not documented
Not documented
AI features
Yes
Yes
Public API
Not documented
Not documented
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Pave
Market Data Lite — Free N/A
Pave Platform (Market Data Pro and modules) — Custom (contact sales) Annual
Harver
No individual plan breakdown documented yet.
Pros & Cons
Pave
Pros
Real-time HRIS-connected data is fresher than traditional annual or semiannual compensation surveys
Free Market Data Lite tier gives early-stage startups usable benchmarks without a paid contract
Broad dataset sourced from thousands of participating companies supports granular role and level matching
Combines benchmarking, band-building, and merit-cycle workflows in one platform rather than separate tools
Backed by significant venture funding, supporting continued product investment
Cons
Pricing is not published and requires a sales conversation for anything beyond the free tier
Reported annual costs can be significant for mid-market and larger companies
Full value depends on integrating a company's HRIS, which adds setup and data-governance overhead
Primarily optimized for venture-backed tech companies, which may limit fit for other industries
Advanced global market pricing and total rewards modules are gated behind paid tiers
Harver
Pros
Reduces time-to-hire for high-volume recruiting
Science-backed assessments aim to reduce hiring bias
Combines assessments, video interviews, and reference checks in one suite
Scales to large candidate pools across industries like retail and BPO
Backed by acquisitions (Outmatch, pymetrics, Checkster) that broaden its assessment science
Cons
Pricing is not published and requires a sales conversation
Primarily built for enterprise/high-volume hiring rather than small businesses
Assessment-heavy process can add extra steps to the candidate experience
Onboarding and configuration may require vendor support
Use Cases
Pave
Building defensible pay bands — HR teams use Pave to design compensation bands tied to real-time market data so pay decisions are consistent and defensible across the organization.
Running merit and equity refresh cycles — People teams use Pave's cycle workflows to collect manager recommendations, apply budget guardrails, and approve pay and equity changes in one system.
Benchmarking pay for early-stage hiring — Startup founders and early HR hires use the free Market Data Lite tier to price initial roles competitively without an enterprise contract.
Harver
Volume Hiring for Contact Centers — Screening large applicant pools for contact center and BPO roles using standardized assessments.
Retail Seasonal Hiring — Quickly assessing and ranking large numbers of seasonal or hourly retail applicants.
Enterprise Structured Interviewing — Standardizing interview and assessment processes across large hiring teams to improve consistency.
Bias Reduction in Hiring — Using structured, validated assessments instead of unstructured interviews to reduce hiring bias.