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Gem

by Gem

AI Application
Low Confidence

Gem is the leading AI recruiting platform for talent acquisition teams that helps them find the best candidates, hire faster, and operate as a strategic recruiting function. Intended users are recruiting and talent acquisition (TA) teams, from startups to global enterprises (1,200+ TA teams). Products include CRM, ATS, Scheduling, Analytics, Integrations, plus AI agents: AI Sourcing Agent (surfaces candidates not previously seen), AI Application Review Agent (narrows and ranks hundreds/thousands of applications at a click), and AI Fraud Detection Agent (flags fraudulent/low-quality applications). Documented use cases from customer stories: surfacing top applicants from high-volume inbound, sourcing talent for critical roles, automating follow-ups, running fraud checks and AI matching on applications.

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Transparency Score

Weighted across four pillars · updated October 15, 2026

Overall grade
52% weighted
ABCDF

Capabilities

Candidate Sourcing
Application Review And Ranking
Fraud Detection
Recruiting Crm
Applicant Tracking
Interview Scheduling
Recruiting Analytics
Candidate Engagement

AI Models

Underlying AI models powering this application

GPT

Vendor Information

Complete information about the vendor/provider of this AI application

GemView all products →
Gem Software, Inc.
Contact Information
www.gem.com
support@gem.com
Registered Address
525 Market Street, 6th Floor, San Francisco, CA, 94105, US

Infrastructure

Platforms hosting this application — each inherits its own transparency grade.

Amazon Web Services (AWS)
Amazon
F
Microsoft Azure
Ltd. (Microsoft Azure)
F
Heroku
Heroku
F
View full infrastructure →

EU AI Act Provider Information

Verification Status:
Unverified
Gem Software, Inc.
525 Market Street, 6th Floor, San Francisco, CA, 94105, US
support@gem.com
Publishes a channel for reporting security incidents or vulnerabilities: https://www.gem.com/compliance/responsible-disclosure (read 13 October 2026).

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

Compliance & Risk

Get insights into risk by running assessments on this AI application.

Work at Gem? Claim this listing to correct or complete the data.

Added: October 13, 2026
Updated: October 15, 2026

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