Power Law company profile

Scribe

AI · San Francisco, United States · Founded 2019 Unicorn

Workflow documentation and AI-driven process optimization

Valuation

$1–2.5B

Latest valuation · 2026

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Revenue

$10–50M

Latest reported FY

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Headcount

100–500

Current team size

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Featured in Unicorn$1B+ valuation tier · Power Law dataset 2026 $1B+ revenueColt · Power Law growth-stage

Investors

15 investors on Scribe's cap table

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

Seed 11 investors entered at this stage

Amplify Partners

XYZ Venture Capital

Sweat Equity Ventures

Morado Ventures

Nick Mehta

John Thompson

Eric Wu

Series A 1 investor entered at this stage

Tiger Global

Series B+ 3 investors entered at this stage

New York Life Ventures

The StepStone Group

Redpoint

Global footprint

Where Scribe has talent and traffic

AI talent share

1.5% of workforce is AI talent
(5 of 331 staff)

Core AI51.51%

Other AI00%

Non-AI workforce32698.49%

Workforce by country

🇺🇸 United States · San Francisco HQ

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Web traffic by country

2.5M monthly visits
across markets

🇺🇸 United States38.9%

🇮🇳 India6.7%

🇮🇩 Indonesia5.5%

🇬🇧 United Kingdom3.7%

🇨🇦 Canada3.4%

Top 5 markets shown

Patent intelligence

$230k patent portfolio · 3 active families

Estimated portfolio value

$230k

0.02% of valuation · 1805.8× smaller than top peer ServiceNow ($415M)

3 active patent families

Where Scribe innovates Mechanical engineeringStructural engineeringBottleElectrical and Electronics engineeringMouth parts

Where Scribe concentrates vs peers

Each axis is a top-10 topic across Scribe 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.

Market sentiment

What the market is saying about Scribe

An AI-synthesized read of the highest-engagement posts about Scribe 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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