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Apollo Research

Apollo Research is an AI safety organization specializing in auditing high-risk failure modes, particularly deceptive alignment, in large AI models.

Technology; Information and Internet
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Headquarters
London, United KingdomSource: RevenueBaseRetrieved October 13, 2026
Employee range
11 to 50Source: RevenueBaseRetrieved October 13, 2026
Founded
2023Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
13 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Apollo Research do?

The organization conducts fundamental research on interpretability and behavioral model evaluations and uses this research to audit real-world models. Apollo Research aims to use interpretability tools in model evaluations, combining examination of model internals with behavioral evaluations.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

What the business offers

Services & capabilities.

AI model auditing

Audits address high-risk failure modes in large AI models, particularly deceptive alignment.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

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BADGE PREVIEWApollo Research listed #1 on AI impact assessment companies, September 20, 2026Open the published source list.
Apollo Research

#1 AI impact assessment companies

Snapshot: September 20, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated August 30, 2026, September 18, 2026, September 19, 2026, September 20, 2026, September 26, 2026 and September 30, 2026. How the company lists are built.

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