Beamery vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Beamery

GrowthHR Tech

Talent Lifecycle Management

Enterprise talent lifecycle platform combining CRM, skills ontology, and workforce planning to help companies build skills-based talent pipelines.

About

Beamery is a London-based talent lifecycle management company that provides large enterprises with a unified platform for managing candidates, employees, and alumni across the full talent lifecycle — from initial attraction through hiring, development, and alumni re-engagement. The platform's core is a talent CRM that enables recruiting teams to build and nurture candidate pipelines over months or years rather than only sourcing reactively when roles open. Beamery's skills taxonomy and ontology engine maps job requirements to underlying skills, enabling skills-based hiring practices that reduce bias and widen the talent pool beyond candidates with traditional credentials. The platform supports workforce planning and internal mobility by giving HR leaders visibility into current skills inventory and gaps relative to future strategic needs. Beamery integrates with enterprise HCM systems including SAP SuccessFactors, Workday, and Oracle HCM, acting as a talent engagement and intelligence layer on top of existing infrastructure. Founded in 2014, Beamery raised over $188M from investors including EQT Ventures, Index Ventures, and Microsoft M12, and counts SAP SE as a strategic partner and investor.

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Adept AI

EmergingAI Infra

AI Agents

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.

About

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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