Figures is a compensation platform emphasizing pay equity analysis and EU Pay Transparency Directive compliance tooling, backed by over 3.5 million benchmark…
Best for Figures: Compensation teams at companies like Doctolib- or EY-scale needing dedicated pay equity analysis and EU Pay Transparency Directive compliance tools alongside collaborative review workflows.
Best for Pave: Smaller or growing companies (1-200 employees) that want to start with Pave's free Market Data Lite benchmarking before upgrading, or teams wanting AI-assisted job matching and employee-facing tools like the Total Rewards Portal.
At a Glance
Figures
Pave
Primary category
HR
HR
Rating
Not documented
Not documented
Pricing model
Custom
Custom
Starting price
Contact for pricing
Custom (contact sales); free benchmarks available via Market Data Lite for companies with 1-200 employees
Free plan
Not documented
Yes
Free trial
Not documented
Not documented
Platforms
Web
Web
Team collaboration
Not documented
Not documented
AI features
Not documented
Yes
Public API
Yes
Not documented
Key Differences
Free Plan Availability
Figures: Figures has no free tier; all three plans (Structure, Companion, Pay Transparency) are Custom-priced and require a demo.
Pave: Pave offers Market Data Lite free for companies with 1-200 employees.
A free entry point removes the barrier for smaller companies to start benchmarking compensation.
Benchmark Data Scale
Figures: Figures cites over 3,500,000 compensation datapoints.
Pave: Pave sources real-time data from 9,000+ contributing companies across 200+ job families and 16 business functions.
The two platforms report data volume using different metrics, so buyers should ask each vendor for directly comparable figures during evaluation.
Pay Equity and Compliance Tooling
Figures: Figures has a dedicated Pay Equity Analysis feature plus compliance tools built for the EU Pay Transparency Directive, and a standalone Pay Transparency plan.
Pave: Pave's feature list does not document EU Pay Transparency Directive-specific compliance tooling.
Companies operating in the EU need compliance-ready tooling ahead of pay transparency deadlines.
AI-Assisted Benchmarking
Figures: Figures' feature list does not mention AI or machine learning.
Pave: Pave uses AI-assisted job matching and machine learning for benchmark accuracy.
AI-assisted matching can reduce manual effort in mapping roles to the right benchmark data.
HRIS Integration Breadth
Figures: Figures documents integration with 30+ HRIS and review systems specifically.
Pave: Pave does not state a specific integration count, though it offers a Total Rewards Portal and Visual Offer Letter as differentiated employee-facing tools.
A documented integration count helps buyers gauge how easily the tool fits an existing HR tech stack.
Feature-by-Feature
Benchmarking & Data
Feature
Figures
Pave
Compensation benchmark datapoints
Available
Available
AI-assisted job/role matching
Not documented
Available
Salary bands
Available
Available
International market coverage
Not documented
Available
Compensation Planning & Compliance
Feature
Figures
Pave
Collaborative compensation review workflows
Available
Available
Pay equity analysis
Available
Not documented
EU Pay Transparency Directive compliance tools
Available
Not documented
Total Rewards communication portal
Not documented
Available
Visual/candidate-facing offer letters
Not documented
Available
Pricing & Integrations
Feature
Figures
Pave
Free plan
Unavailable
Available
HRIS integrations (documented count)
Available
Not documented
Unlimited user seats
Not documented
Available
Named enterprise customers
Available
Not documented
Pricing Compared
Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.
Figures
Structure — Contact for pricing Custom
Companion — Contact for pricing Custom
Pay Transparency — Contact for pricing Custom
Pay Equity Expert (add-on) — Contact for pricing Custom
Pave
Market Data Lite — Free N/A
Pave Platform (Market Data Pro and modules) — Custom (contact sales) Annual
Pros & Cons
Figures
Pros
Strong focus on European compensation data and compliance with the EU Pay Transparency Directive
Real-time benchmarking data rather than reliance on periodic annual salary surveys
Broad integration coverage with more than thirty HRIS platforms reduces manual data entry
Established customer base including recognizable names like Doctolib, KPMG, and Duolingo
Cons
No published pricing; every quote requires booking a sales demo, which slows initial evaluation
Reported customer counts and dataset sizes vary meaningfully across different sources
Smaller company size (roughly 30-40 employees) relative to some global compensation platform competitors
Primary strength is European market compliance, which may be less relevant for companies operating mainly outside Europe
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
Use Cases
Choose Figures: Compensation teams at companies like Doctolib- or EY-scale needing dedicated pay equity analysis and EU Pay Transparency Directive compliance tools alongside collaborative review workflows.
Choose Pave: Smaller or growing companies (1-200 employees) that want to start with Pave's free Market Data Lite benchmarking before upgrading, or teams wanting AI-assisted job matching and employee-facing tools like the Total Rewards Portal.
Need both: There's no clear complementary scenario - both are compensation benchmarking and planning platforms serving the same core buyer (comp and People teams setting salary bands), so this is typically a head-to-head vendor decision rather than a combined deployment.
Figures
Benchmarking salaries against the market — HR and Total Rewards teams use Figures' real-time benchmarking data to ensure compensation offers remain competitive within their industry and region.
Preparing for EU Pay Transparency compliance — European companies use Figures' Pay Transparency plan and pay equity analysis to meet the reporting requirements of the EU Pay Transparency Directive.
Running structured compensation review cycles — People teams use Figures' review cycle tooling to manage budgets and track manager-proposed raises consistently across the organization.
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.
Frequently Asked Questions
Does either tool have a free plan?
Pave offers Market Data Lite free for companies with 1-200 employees. Figures has no free tier - all plans (Structure, Companion, Pay Transparency) require a custom quote.
Which has more benchmark data?
Figures cites over 3,500,000 compensation datapoints, while Pave sources real-time data from 9,000+ contributing companies across 200+ job families. The two report data volume using different metrics, so they aren't directly comparable.
Does Figures support EU Pay Transparency Directive compliance?
Yes, Figures has dedicated compliance tools for the EU Pay Transparency Directive plus a standalone Pay Transparency plan. Pave does not document this specific compliance capability.
Does Pave use AI for benchmarking?
Yes, Pave uses AI-assisted job matching and machine learning. Figures' feature list does not mention AI capabilities.
How many HRIS integrations does each support?
Figures documents 30+ HRIS and review system integrations. Pave does not state a specific integration count.
Which named companies use each platform?
Figures lists Doctolib, KPMG, TotalEnergies, EY, Qonto, and Swan. Pave does not name specific customers in the available facts.