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BenevolentAI

Biotech & Life Sciences · London, United Kingdom · Founded 2013 · Public via SPAC 2021

BenevolentAI is a leading, clinical-stage AI-enabled drug discovery company

Revenue $6.9M

Talent graph

BenevolentAI's talent

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Employees mapped 69 incl. 18 AI specialists
Founders Hidden — book a demo/100 quality score
Key operators 15 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia 10 alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

6 investors on BenevolentAI's cap table

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

Series B+ 6 investors entered at this stage
Woodford Investment Management
Tech Nation
Lansdowne Partners
Temasek
Goldman Sachs
Lundbeck

Global footprint

Where BenevolentAI has talent and traffic

Workforce by country
4 countries with
team presence
🇬🇧 United Kingdom94.3%
🇺🇸 United States5.4%
🇮🇹 Italy1%
🇫🇷 France0.7%
4 countries shown
Web traffic by country
14K monthly visits
across markets
🇮🇳 India36.4%
🇺🇸 United States27.9%
🇬🇧 United Kingdom21.4%
🇨🇦 Canada5.7%
🇫🇷 France2.1%
Top 5 markets shown

Patent intelligence

$3M patent portfolio · 29 active families

Estimated portfolio value
$3M
170.4× smaller than top peer Genmab ($488M)
29 active patent families
Where BenevolentAI innovates Data miningData scienceDiseaseMolecular biologyNeuro-degenerative disease

Where BenevolentAI concentrates vs peers

Each axis is a top-10 topic across BenevolentAI 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 BenevolentAI

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