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Arist

AI voice interviews that survey a whole workforce

Raised to date

$14.1M

of $22.5M offered across 1 Form D filing

Still open
$8.4M
Investors
9
Last filed
Jul 27, 2026

About

Arist is a San Francisco enterprise learning and workforce-intelligence company that delivers training and enablement to employees inside the tools they already use - Microsoft Teams, Slack, WhatsApp and SMS - rather than in a separate LMS. It began as a text-message microlearning platform built on Stanford behavioral research, delivering science-backed lessons employees complete in under five minutes, and has since added AI agents for L&D and enablement. Its current flagship, Arist Diagnostic, runs AI voice interviews across an entire workforce in multiple languages and turns the results into personalized recommendations pushed back through Slack, Teams and SMS. The company says its platform is used by more than 10% of the Fortune 500, including WHO, HP and Takeda.

Delivers learning and workforce diagnostics in the flow of work over chat and SMS instead of an LMS, and interviews an entire employee population with AI voice agents rather than sampling a fraction of it the way a consulting engagement would - with the organization retaining the resulting data.

Funding

  • EquityFiled Jul 27, 2026Form D
    $14.1M/ $22.5M

Product

Arist Diagnostic

Enterprise workforce intelligence and learning platform

An AI-powered employee intelligence platform that conducts anonymous AI voice interviews across an entire workforce, analyzes the responses, and delivers personalized recommendations and follow-through into Slack, Teams and SMS with real-time progress tracking.

  • AI voice interviews across an entire employee population, in multiple languages
  • Structural anonymity so responses stay candid
  • AI analysis without consultant preconceptions

Built for

Large enterprises with big distributed or frontline workforces - Fortune 500 companies plus government bodies and nonprofits - buying for L&D, enablement and compliance teams

People on file