Juicebox (PeopleGPT) vs Metix AI (formerly OpenJobs AI) (2026)

Juicebox (PeopleGPT)

by Juicebox

Metix AI (formerly OpenJobs AI)

by OpenJobs AI Inc. (dba Metix AI)

Pros

• ✓PeopleGPT natural language search removes the Boolean expertise that traditional sourcing tools assume, so recruiters without specialist search skills can run effective searches across 800M+ profiles.
• ✓A hosted MCP server, listed in the Claude and ChatGPT connector directories, lets an AI assistant query recruiting analytics and create or manage Juicebox Agents, and Agent 4.0 pulls role context from tools such as Notion and Google Drive over MCP connectors.
• ✓Integration coverage is documented rather than implied: 41 ATS systems and 21 CRMs, with job import, rediscovery of past applicants and automatic export of shortlisted profiles back to the ATS.
• ✓The trust center publishes SOC 2 Type II, GDPR and CCPA, a third-party AI bias audit for NYC Local Law 144 and 24 named subprocessors, which matters for regulated hiring.

Limitations

• –ATS and CRM integration, network sourcing and SSO all sit in the custom-priced Business tier, so the teams most likely to need pipeline handoff cannot see what it costs without contacting sales.
• –Per-seat pricing scales linearly with headcount at $99 to $179 per seat billed yearly, and always-on Juicebox Agents add $199 per agent per month on top of seats.
• –Contact data is metered: Starter includes 500 contact credits a month, phone numbers are not available on Starter and cost 3 credits each on Growth, and unlimited contact credits require Business.
• –PeopleGPT is trained on people data gathered from 30+ public sources. Customer data is excluded, but organizations sensitive to candidate-data provenance should review that distinction before adopting.

Pros

• ✓Credit-based pricing charges only for candidates who have already replied with interest, so spend maps to interview-ready people rather than sourcing volume that never converts.
• ✓A human delivery lead reviews every match before it is delivered, adding a quality gate that fully unsupervised sourcing tools do not have.
• ✓A July 2026 Deel partnership white-labels Employer of Record and payroll inside the platform, so an accepted offer moves to compliant onboarding across 130+ countries without adding a separate vendor.

Limitations

• –The privacy policy states customer data is used to train and improve AI models and documents no opt-out from that training, which is unusual for the category and will fail security-conscious procurement.
• –No SOC 2 Type II, ISO 27001, or HIPAA certification is published, and GDPR appears only as a processing legal basis, so a formal enterprise vendor security review has nothing to evaluate.
• –Starter covers 3 candidates and 1 active role per month, and credit consumption varies with role difficulty and market response, so monthly cost is harder to forecast than fixed-seat software.