Top 10 AI startups in Healthcare in UK

Updated: April 25, 2024

1
Funding: $1.2B
babylon was founded with a single purpose: To put an accessible and affordable health service in the hands of every person on earth. How? We’ll do this by combining the ever growing computing power of machines, with the best medical expertise of humans to create a comprehensive, immediate and personalized health service and making it universally available.
2
Funding: $474.4M
Exscientia is applying AI and big data processing to accelerate drug discovery and development.
3
Funding: $292M
A leading British artificial intelligence company located in the knowledge quarter of London with a focus in health and drug development
4
Funding: $219.2M
Juvenescence AI is focused on developing drugs that were discovered by Artificial Intelligence Techniques.
5
Funding: $217M
Medopad connects patients and providers in real time. It also collects data through wearables and lets patients send their data to healthcare professionals. The platform also offers providers and insurers ways to analyze large amounts of data using artificial intelligence and machine learning.
6
Funding: $217M
Huma combines data from biomarkers with predictive algorithms both to help monitor patients, and uses the same technology to help researchers and pharmaceutical companies run clinical trials
7
Funding: $106.7M
RenalytixAI is a developer of artificial intelligence (AI) enabled clinical diagnostic solutions for kidney disease.
8
Funding: $82.7M
CHARM Therapeutics uses deep learning on 3D molecular configurations to develop molecule therapeutics to target pathogenic proteins.
9
Funding: $70.6M
Lifebit is building the world’s first intelligent genomics platform that understands DNA data and generates meaningful insights like humans do.
10
Funding: $67.9M
Biotechnology company integrating artificial intelligence with expert pharmacology to discover treatments for rare diseases
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11
Funding: $67.3M
Your.MD is the world’s smartest AI health information service, offering everyone free access to the health information they need. Your.MD empowers people to discover what’s wrong with them thanks to the world’s first AI system designed to understand individual situations and personal factors, receive medically certified guidance (in partnership with the UK’s NHS)
12
Funding: $58.9M
Ultromics clinicians and engineers working together to set new standards for world-class cardiovascular diagnostic tools.
13
Funding: $35.5M
Using Artificial Intelligence (AI), deep learning algorithms Brainomix team is bringing complete stroke imaging decision support solution to hospitals worldwide.
14
Funding: $31.3M
HelloSelf is a health and wellness platform that provides its users with digital access to therapists.
15
Funding: $28.7M
Harnessing the power of machine learning to create better protein therapeutics.
16
Funding: $15.9M
RwHealth’s platform combines AI machine learning and data science to give healthcare providers access to data which can aid their decision-making.
17
Funding: $11.3M
Oxford Drug Design focuses on developing and delivering services and technologies in computer-aided drug discovery.
18
Funding: $9M
Skin Analytics uses artificial intelligence to screen for melanoma skin cancer.
19
Funding: $8.5M
Vine Health provides intelligent digital technology to support people going through cancer treatment to manage their care, using a combination of behavioural science and AI.
20
Funding: $8.5M
Vinehealth is a AI-driven platform providing support to improve the quality of life and survival of cancer patients.
21
Funding: $5.8M
Abtrace provides a data driven layer on existing Electronic Health Record systems delivering proactive healthcare and earlier diagnosis. It uses machine learning to detect, monitor and treat chronic and long-term health conditions.
22

ChatableApps - Worlds First Neuroscience-led AI Hearing Aid App, making everyday conversation accessible to everyone, everywhere
23

Pangaea’s AI-driven software has proven to find 6x more suitable patients for Biopharmaceuticals and Hospitals, including those who are undiagnosed and miscoded, improve screening success rates by 400%, and save 90% in time by automatically generating clinical narratives for regulatory reports, from tables, figures, and listings.