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Verbit.ai

AI · New York City, United States · Founded 2016

Using smart AI technology to disrupt transcription and captioning with automation and speed

Valuation $1–2.5B
Revenue $100–500M
Headcount 1–2k
Unlock exact values This page shows ranges. Dealroom has the exact numbers for Verbit.ai and the history behind them.
Power Law Unicorn$1–10B valuation tier Thoroughbred$100M+ revenue
Knowledge graph
Market map NYC AI Map by Lux Capital

Talent graph

Verbit.ai's talent

Book a demo to see the people
Employees mapped 1,629 incl. 11 AI specialists
Founders Hidden — book a demo/100 quality score
Key operators 12 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

21 investors on Verbit.ai's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 4 investors entered at this stage
Horizon Capital
HV Capital
Vertex Holdings
Vertex Ventures Israel
Series A 3 investors entered at this stage
ClalTech
Vintage Capital
Viola Ventures
Series B+ 14 investors entered at this stage
Stripes
Azura
TCP Venture Capital
Sapphire Ventures
ICON fund
Disruptive AI
Google for Startups Accelerator
More Capital
40 North Ventures
Samsung Next
Third Point Ventures
Omer Cygler
Lion Investment Partners
Vertex Growth Fund

Ownership

Who owns Verbit.ai

Estimated cap table from Dealroom's shareholder data — share of equity by holder. Stakes as last recorded by Dealroom (2026). Percentages are indicative.

14.5% Sapphire Ventures
  • Sapphire Ventures 14.5%

Some investors are hidden on this public profile. See the full cap table on Dealroom →

Global footprint

Where Verbit.ai has talent and traffic

Workforce by country
🇺🇸 United States · New York City HQ
Book a demo for the full country breakdown
Web traffic by country
94K monthly visits
across markets
🇺🇸 United States15.6%
🇬🇧 United Kingdom8.1%
🇨🇦 Canada6.7%
🇮🇳 India4.6%
🇦🇺 Australia4.6%
Top 5 markets shown

Patent intelligence

$6M patent portfolio · 11 active families

Estimated portfolio value
$6M
0.28% of valuation · 8.8× smaller than top peer SoundHound ($49M)
11 active patent families
Where Verbit.ai innovates Audio frequencyAutomatic speechData scienceMetadataPhrase

Where Verbit.ai concentrates vs peers

Each axis is a top-10 topic across Verbit.ai and its closest peers. #1 = 100, #10 = 10, absent = 0.

Compare against

Source: Dealroom Patent Intelligence · Patsnap. Request a demo for the full per-sub-category breakdown, individual records, and quality-score history.

Capital deployed

Verbit.ai's 5 investments and acquisitions.

Every disclosed deal where Verbit.ai appeared as a backer or acquirer, 2021–2022. Toggle between venture rounds, M&A, or both. The map below is grouped by the target company's sector — the colored pill on each chip is the round type.

Portfolio analysis

5 deals across Verbit.ai's capital deployment.

Where the deals concentrate by sector, stage, and decade.

By sectorCount
    By stageCount
      By periodCount

        01 · Deployment strategy vs peers

        Where Verbit.ai deploys vs peers

        Each axis is a Dealroom topic tag — picked from the cluster's most-tagged themes. Values are normalized per axis: the peer with the highest tag-coverage on that axis sits at the edge, others scale relative to them. Toggle between M&A, venture, or both.

        Compare against

        02 · Portfolio market map

        Verbit.ai's portfolio, mapped.

        Each chip is one company. Pill colour shows round type — green for Seed, blue for Series A, purple for B/C+, pink for late-stage, amber for M&A. Bigger sectors keep their full list behind “+ N more”.

        Stage
        Period
        5 of 5 deals

        Market sentiment

        What the market is saying about Verbit.ai

        An AI-synthesized read of the highest-engagement posts about Verbit.ai on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

        Reading the room on X — pulling top posts and synthesizing themes…

        Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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