Eightfold AI vs Adept AI

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

Eightfold AI

GrowthHR Tech

AI Talent Intelligence

AI talent intelligence platform using deep learning to match candidates on skills potential, helping enterprises build diverse and future-ready workforces.

About

Eightfold AI is a Santa Clara-based talent intelligence company that applies deep learning to the challenge of matching people to opportunities based on demonstrated skills potential rather than job titles or pedigree. The platform ingests a company's internal people data alongside external candidate signals to build a unified talent graph that powers recruiting, internal mobility, workforce planning, and diversity programs. Eightfold's AI predicts which candidates are most likely to succeed in a given role by analyzing patterns across millions of career trajectories, identifying transferable skills that traditional keyword-matching systems miss. Enterprise customers in manufacturing, financial services, retail, and technology use Eightfold to reduce time-to-hire, improve quality-of-hire, and surface internal candidates for open roles before looking externally. The platform integrates with major ATS vendors including Workday, SAP SuccessFactors, and iCIMS. Founded in 2016 by former Google and Facebook engineers Ashutosh Garg and Varun Kacholia, Eightfold raised over $410M at a $2.1B valuation from investors including SoftBank, General Atlantic, and Capital One Ventures, making it one of the most highly valued pure-play talent intelligence companies.

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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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