Gem

Gem is an AI-first recruiting platform that brings the full hiring workflow, including applicant tracking, candidate relationship management, sourcing, outreach, interview scheduling, and analytics, into a single system. It began as a Chrome extension for sourcing on LinkedIn, grew into a recruiting CRM, and now positions itself as an all-in-one platform with AI built into the foundation rather than bolted on, used by more than a thousand talent teams from startups to large enterprises.

Gem offers two ways to deploy. A team can keep its existing applicant tracking system, such as Greenhouse, Workday, SuccessFactors, or Lever, and add Gem's AI agents, CRM, sourcing, scheduling, and analytics on top, or it can adopt Gem's own all-in-one platform with a built-in ATS and CRM and consolidate tools into one.

Sourcing is a core strength. Recruiters search a database of hundreds of millions of profiles using natural-language queries instead of complex Boolean strings, add candidates in one click from LinkedIn and many other sites, and reach them through omni-channel sequences spanning email, LinkedIn InMail, and SMS, with AI-generated personalization, A/B testing, and automated follow-ups. Because Gem holds the full history of every candidate, including past applications, prior outreach, and interview feedback, its AI agents make context-aware recommendations and avoid duplicate contact.

Those AI agents extend across the workflow, handling sourcing, ranking and reviewing applications against job requirements, summarizing profiles, rediscovering and re-engaging past candidates from existing talent pools, and flagging potential fraud. Scheduling automation finds interview times across calendars and time zones and sends reminders, while analytics give recruiters full-funnel pipeline visibility, source effectiveness, forecasting, and diversity insights.

Gem also supports talent marketing through career sites, events, and landing pages, and it meets enterprise needs with SOC 2 compliance, GDPR alignment, and single sign-on. The pitch throughout is consolidation: replacing several separate point tools with one connected, AI-native recruiting platform so recruiters spend less time switching between systems and more time hiring.