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Maki

Maki, founded in 2022 in Paris, France, develops AI-powered conversational agents to automate talent recruitment stages including sourcing, screening, interviewing, and selection via voice, video, or text.

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Total funding $29M📍 Paris · Western EuropeFounded 2022

About

Maki, founded in 2022 in Paris, France, develops AI-powered conversational agents to automate talent recruitment stages including sourcing, screening, interviewing, and selection via voice, video, or text. The company achieved over 300% growth in 2024 after signing recruitment contracts with more than 50 clients including H&M, BNP Paribas, PwC, Deloitte, FIFA, Abercrombie, and Capgemini.

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CompanyInvestorFounders / teamCo-investment (thicker arc = more shared deals, ×N marks the count)Bigger circle = stronger signal (activity / coverage / interest) · ⛶ fullscreen · scroll / pinch to zoom · hover to highlight · drag nodes · click a node to open its profile

Funding history

Comparable companies· by market

This company

  • Maki

    AI-based conversational agents for automating recruiting

    Series A · $29M · 2025-01

Confirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.

Investors that may fit

Y Combinator

41 Enterprise Software deals in the last 24 months · 34 at a nearby stage · 5 in Western Europe

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Andreessen Horowitz

22 Enterprise Software deals in the last 24 months · 15 at a nearby stage · 1 in Western Europe

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General Catalyst

20 Enterprise Software deals in the last 24 months · 16 at a nearby stage · 5 in Western Europe

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Lightspeed

18 Enterprise Software deals in the last 24 months · 17 at a nearby stage · 3 in Western Europe

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Sequoia Capital

17 Enterprise Software deals in the last 24 months · 11 at a nearby stage · 3 in Western Europe

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Accel

15 Enterprise Software deals in the last 24 months · 9 at a nearby stage · 1 in Western Europe

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Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.

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