Side-by-side comparison of AI visibility scores, market position, and capabilities
Talent acquisition platform with a recruiting CRM and sourcing automation suite designed for technical and high-volume enterprise hiring teams.
Gem is a San Francisco-based talent acquisition platform that provides recruiting teams with a CRM purpose-built for talent — combining candidate relationship management, multi-channel outreach sequencing, and deep analytics into a single system that overlays on top of LinkedIn and ATS platforms. The platform's sourcing automation allows recruiters to build email and LinkedIn outreach sequences with AI-personalized messaging that dramatically increases response rates from passive candidates, particularly for hard-to-fill technical roles. Gem's analytics layer provides recruiting leaders with funnel metrics, diversity pipeline reporting, and historical conversion data that enable data-driven capacity planning and goal-setting. The platform integrates bidirectionally with major ATS vendors including Greenhouse, Lever, iCIMS, and Workday Recruiting, ensuring candidate data is synchronized across systems without duplication. Gem serves talent acquisition teams at fast-growing technology companies and enterprises that need to hire significant numbers of engineers and technical specialists at speed. Founded in 2017, Gem raised over $100M from investors including Accel, ICONIQ Capital, and Greylock Partners.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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