| Reference checks | Adaptive conversational references can ask role-relevant follow-ups and connect observations to assessments and Matching Score attributes. | Uses structured reference forms within its background-screening catalog, without answer-triggered deep-dive follow-up questions. |
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| Pre-screening and assessments | Collects eligibility, documents, custom answers, work samples, Tests, and structured assessments within the same Flow. | Static information collection for selected checks without dynamic role assessments, custom matching, or multi-step evaluation Flows. |
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| Matching and scoring | Matching Scores combine ordered role attributes, custom criteria, references, assessments, and supported verification signals. | Returns check results, reports, and risk findings rather than flexible role Matching Scores and evaluation triggers. |
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| Evidence explanation | Single Profiles and Cross-Verified Insights retain source context, gaps, contradictions, confidence, and human-review status across multiple evidence types. | Delivers background-check results and reports for employer review, with status updates and supporting documents available through the platform or API. |
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| Talent Pool and Public Profiles | Talent Pool stores candidates, references, and useful contacts; Public Profiles adds consent-based professional links and People Graph relationships. | Verepass supports credential portability without a talent pool, consent-based Public Profiles, or People Graph intelligence layer. |
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| Fraud and identity protection | Surfaces suspicious patterns across assessments, invitations, references, emails, and response behavior; LinkedIn authentication can support reference identity. | Provides formal identity checks and screening processes that investigate document or identity inconsistencies within selected services. |
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| High-volume workflows | Bulk Import, Bulk Matching, Autopilot links, rules, and multi-company workspaces support high-volume evaluation. | Screening automation, check criteria, integrations, API requests, and rescreening support high-volume background-check operations. |
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| Employee intelligence | | Continues after hire through rescreening without contribution, team pulse, or exit intelligence. |
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| AI and natural-language access | Authorized users can find people, explain evidence, compare measured matches, design Flows, and prepare governed actions through compatible AI assistants. | API and integration access without direct MCP-based use through ChatGPT or Claude. |
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| API and embedded delivery | Direct API access, MCP, and integrations expose Flows, matching, references, checks, verifications, and intelligence to other applications. | Verelink is a REST API for requesting checks, receiving status updates, retrieving results, and embedding screening into ATS, CRM, or talent platforms. |
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| Governance and decision boundary | Roles, permissions, secure links, audit trails, source separation, and human review support controlled decision workflows. | Consent, check criteria, reports, candidate communication, API authorization, and screening controls without Jointl’s source-separated decision Flow and prepare-and-confirm actions. |
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| Fair Unlimited Pricing at hyperscale | Unlimited Flows, applicants, pre-screening and data collection, assessments, conversational reference checks, Talent Pool contacts, Autopilots, employees, associated companies, users, templates and custom forms, Glow Moments, Team Pulse cycles, Exit Intelligence workflows, and Jointl control through ChatGPT and Claude. Scale from one workflow to high-volume, multi-company use without per-applicant friction across included core features. | No directly comparable unlimited model. Usage-based, package-based, per-applicant, per-check, credit-based, or negotiated pricing can increase total costs as volume grows and make broader, deeper evidence collection more expensive. |
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