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Side-by-side record

Checkr vs. Google Vertex AI

A side-by-side view of the product records we have today. Use it to narrow the question, then confirm current pricing, limits, and security details with each vendor.

The short version

Google Vertex AI starts at Free per seat, versus Checkr at $30. Google Vertex AI carries the higher aggregate rating (9.6/5 vs 4.5/5).

Full comparison

Checkrfrom $30 per report
Google Vertex AIfrom Free
Audyense Score70AS*Strong29AS*Low
PositioningThe AI-powered verification platform for high-stakes decisionsGoogle Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence.
Free tierNoYes
DeploymentCloud / SaaSCloud / SaaS
Best fitSMB, Mid-market, EnterpriseStartup, SMB, Mid-market
Pricing plans
  • Basic$30
  • Essential$60
  • Complete$95
  • EnterpriseCustom pricing
  • Free or entry planFree
  • Higher tiersCustom pricing
Applicant tracking (ATS)NoNot an ATS; integrates with 100+ ATS/HRIS systems instead of replacing them.—
Benefits administrationNoNo benefits administration functionality.—
Employee directory & org chartNoNo employee directory feature found.—
Mobile appPartialNo dedicated native admin app; candidates use a mobile-optimized web Candidate Portal.—
Employee onboardingPartialDigital Form I-9/E-Verify via partner, but not a full onboarding suite.—
PayrollNoNo payroll functionality.—
Performance reviewsNoNo performance review functionality.—
Public APIYesRESTful JSON API with webhooks; vendor claims 3B+ API calls/year and 99.95% uptime.—
Reporting & dashboardsYesDashboard shows check status; Enterprise tier adds automated adjudication workflows.—
Time-off & PTO managementNoNo time-off/PTO management functionality.—
AutoML Capabilities—YesDocumented in the independently researched profile.
Custom Model Development—YesDocumented in the independently researched profile.
Pre-built Models—YesDocumented in the independently researched profile.
Model Deployment and Monitoring—YesDocumented in the independently researched profile.
Model Versioning and Management—YesDocumented in the independently researched profile.
Real-time Predictions—YesDocumented in the independently researched profile.
Custom Training Containers—YesDocumented in the independently researched profile.
Multi-Cloud Deployment—YesDocumented in the independently researched profile.
AI Explanations—YesDocumented in the independently researched profile.
Data Labeling Services Integration—YesDocumented in the independently researched profile.
Jupyter Notebooks—YesDocumented in the independently researched profile.
AI for Multiple Data Types—YesDocumented in the independently researched profile.
Model Hyperparameter Tuning—YesDocumented in the independently researched profile.
Custom Training Jobs.—YesDocumented in the independently researched profile.
Integrations verified——
Aggregate rating4.5 · 367 reviews9.6 · No reviews yet
Integrations
WorkdayPaylocityiCIMSGreenhouseGustoIntuit QuickBooks+5 more
—
Security & compliance
SOC 2 Type IISOC 3ISO/IEC 27001ISO/IEC 42001+3 more
—
Pros
  • Easy-to-use, intuitive dashboard (G2: 93% ease-of-use score)
  • Fast turnaround times, rated above prior vendors by most reviewers (G2: 97% score)
  • Deep integration library with 100+ ATS/HRIS partners (G2: 93% integrations score)
  • Modern REST API with webhooks and high reported uptime (99.95%) for developer-led implementations
  • Independent review documents a concrete business workflow
  • Documented capability: AutoML Capabilities
  • Documented capability: Custom Model Development
  • Documented capability: Pre-built Models
  • Documented capability: Model Deployment and Monitoring
Cons
  • Customer support responsiveness is inconsistent per multiple Capterra/TrustRadius reviewers
  • Turnaround times can vary, and international checks reportedly take up to two weeks or more
  • Per-report and add-on pricing (MVR, drug screening, verifications) can add up for high-volume hiring
  • Some reviewers note the platform can feel hands-off for edge cases requiring more account-manager support
  • Pricing and usage limits should be checked against the exact plan
  • Implementation effort depends on the team's data and process maturity
  • Reported outcomes should be validated with the buyer's own data
Visit Checkr ↗Visit Google Vertex AI ↗

Editorial read of this comparison

The table summarizes structured facts; this section explains what the differences mean for a real buying decision.

Where each tool fits, and where it may not

Checkr

Checkr is a background-check and identity-verification platform that combines AI with human review to deliver criminal history, employment/income, identity, driving record, and drug-screening checks. It is used across workforce hiring, gig/marketplace onboarding, tenant screening, and mortgage/insurance verification, with an API-first architecture and 100+ pre-built ATS/HRIS integrations.

A particularly good fit for: High-volume or gig/marketplace hiring teams needing fast, API-driven background checks Companies that want background checks embedded directly into an existing ATS/HRIS Organizations needing strong compliance/security posture (SOC 2, ISO 27001) for screening data

May be a poor fit if: Teams wanting a full HRIS/payroll/onboarding suite in a single product Buyers who want predictable flat per-seat pricing instead of per-report/add-on usage costs

Google Vertex AI

Google Vertex AI is a powerful platform that signifies Google’s unwavering commitment to advancing the field of artificial intelligence. It’s designed to simplify and optimize the entire process of building and deploying machine learning models, making AI accessible to a broader range of users while also providing tools for experts to create customized solutions. This platform offers a unified environment where data preparation, model development, and model deployment are seamlessly integrated, offering a holistic approach to AI development. One of the standout features of Google Vertex AI is its AutoML capabilities. These tools cater to users with varying levels of expertise, allowing them to build AI models without the need for deep technical knowledge. Whether it’s image recognition, natural language processing, or structured data analysis, AutoML simplifies model creation, democratizing AI by empowering business professionals and data enthusiasts to harness its power. For those with more specialized needs, Google Vertex AI supports custom model development. It enables data scientists and machine learning engineers to work with popular deep learning frameworks such as TensorFlow and PyTorch, providing a high degree of flexibility to craft models tailored to specific use cases. This duality in approach, accommodating both novices and experts, makes Vertex AI an inclusive platform that can cater to diverse user profiles. Vertex AI’s seamless integration with other Google Cloud services is another noteworthy feature. This integration guarantees scalability and reliability, as organizations can tap into Google Cloud’s robust infrastructure, data storage, and analytics tools. As AI solutions grow in complexity and data volumes increase, this cohesive environment ensures that AI models can evolve to meet the demands of real-world application

A particularly good fit for: B2B teams evaluating HR and People software Teams that need documented workflow capabilities and fit guidance Organizations willing to validate implementation and plan limits

May be a poor fit if: Teams seeking a workflow outside the product's documented focus Teams needing unlimited usage without plan limits

Pricing and plan structure

Checkr: Published starting price $30 per report

  • Basic$30 per report
  • Essential$60 per report
  • Complete$95 per report
  • EnterpriseCustom pricing

Google Vertex AI: Published starting price Free

  • Free or entry planFree
  • Higher tiersCustom pricing

Capabilities worth validating

  • Checkr: Mobile app, Employee onboarding, Public API, Reporting & dashboards Integrations include Workday, Paylocity, iCIMS, Greenhouse.
  • Google Vertex AI: AutoML Capabilities, Custom Model Development, Pre-built Models, Model Deployment and Monitoring, Model Versioning and Management

Questions to answer before switching

  • Does Checkr's selected plan include the features and limits we need?
  • Does Google Vertex AI's selected plan include the features and limits we need?
  • Does the exact integration path for Workday, Paylocity, iCIMS support the sync direction, permissions, and volume we need?
  • Is a hosted-only deployment acceptable for the team and customers who will use this system?

How to evaluate this shortlist

A useful comparison turns the differences between HR & People tools into a concrete test. Use these steps to avoid choosing from a feature table or the lowest headline price alone.

  1. Start with a representative HR & People workflow, not a feature checklist. Define who will use it, what data goes in, and what outcome the team needs.
  2. Test the complete path through Workday, Paylocity, iCIMS: permissions, sync direction, failure handling, and volume limits often matter more than the integration name.
  3. Compare the cost of the real scenario, including users, usage, storage, support, and contract requirements. The entry price alone does not measure adoption cost.
  4. Before switching, list the evidence gaps, request a demo of the critical workflow, and confirm security, data residency, export, and support with each vendor.

Structured signals help narrow the shortlist, but a trial with a real workflow is still the best way to validate the decision.

Research basis

Last checked: 2026-08-18. Pricing, integrations, feature support, and review signals can change, so treat this as a research snapshot and verify the final decision with the vendor.

Sources consulted: Checkr product site, G2, Capterra; Google Vertex AI product site, FinancesOnline review, Vendor website