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BenevolentAI

BenevolentAI

AI for faster drug discovery

London, UK

BenevolentAI, founded in 2013 and headquartered in London, United Kingdom, is a drug discovery company that was delisted from Euronext Amsterdam and merged with Osaka Holdings S.à r.l. on March 13, 2025, transitioning to private ownership.

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How We Help

Problem Statement

The inefficiency and slowness of traditional drug discovery and development processes, hindering the rapid delivery of effective treatments to patients.

Core Technology

Benevolent Platform™ - an end-to-end computational and experimental platform for drug discovery, combining advanced AI, machine learning, and computational biology to create a comprehensive bioscience knowledge graph.

Key Differentiators

End-to-end AI-enabled drug discovery platform (Benevolent Platform™); Integration of AI and human expertise; Comprehensive bioscience knowledge graph for novel target identification; Clinical-stage pipeline and validated approach (e.g., repurposed drug candidate for COVID-19); Strategic collaborations with major pharmaceutical companies; Disease-agnostic platform applicable across any disease area.

Clinical Focus

Drug Discovery and Development

Target Customers

Pharmaceutical companies

Product Stage

GA/Mature (knowledge exploration tools); Clinical-stage (drug pipeline)

Company Info

Business Model
B2B (collaborations with pharmaceutical companies, commercializing knowledge exploration tools), In-house drug development (advancing own drug pipeline).
Founded
2013
Total Funding
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Website
benevolent.ai

Clinical & IP

🔬

Clinical Validation

Has a clinical-stage pipeline and a validated approach, exemplified by a repurposed drug candidate for COVID-19.

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What do you think of BenevolentAI?

A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

Innovation

Clinical Benefit

Feasibility

Scalability

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