Cardiff, United Kingdom

Engineering the future of drug discovery

We use machine learning to optimise and develop the current drug discovery process. Our world-first computational technique means we can discover new antibodies, faster and better.

Antiverse is recognized as one of the top biotech startups in the UK with our antibody discovery service already in use by big pharma.

Co-founded in 2017 by engineers Murat Tunaboylu and Ben Holland, our team is dedicated to engineering the future of drug development to change the course of people's lives. We are passionate about what we do and the impact our discoveries will have on patients across the globe. Based in Cardiff, our expert team spans structural biology, machine learning and medicine - and together, we are always striving for that next breakthrough in drug discovery.

10x Diversity with AI-Augmented Drug Discovery
Existing antibody discovery methods are well-developed and often effective at discovering binders. But when you need to find the best possible candidate, or when finding a suitable candidate is hard with current methods, your options are limited and often costly.
Antiverse works alongside your expert lab scientists, using next-generation sequencing (NGS) to extract even more data from existing workloads. Our AI-Augmented Drug Discovery platform and trained models analyse the statistics gained from thousands of experiments. These are compared against known data to propose the best selection of candidates according to your criteria.


Targeted selection

When you have too many antibody-antigen binding options to choose from, we can provide targeted options so you can focus on testing safely in the knowledge that you have the cream of the crop in front of you.

Binder recovery

When you struggle to find sufficient binders, we can recover potential binders that are so often missed by conventional methods.

Binder customisation

When you have some binders that bind but are deficient in other aspects, we can generate new variants to expand your options.

How We Do It

01

To benefit from AI-Augmented Drug Discovery, the input required is surprisingly minimal and risk-free. All that is needed are the panning outputs and the resulting campaign performance metrics. By deep-sequencing the panning outputs, we can glean invaluable information about the underlying process, allowing us to select sequences that would otherwise be missed, whilst screening out sequence anomalies that don't require a second longer of your time.

02

Through looking at hundreds of thousands of sequences from the different panning rounds, we can assess the abundance and enrichment of each sequence, in combination with analysis of the sequence itself and how similar sequences behave, to give each sequence a score related to its binding.

03

Combining the binding scores and our dual-clustering methods, we can select the tradeoff between diversity and confidence that best suits the customer.

04

Because simple clustering using sequence similarity alone misses important aspects, we use structural-based clustering as well as clustering in a transformed sequence space that represents and respects the variation of natural human antibody repertoires.
Our story

At the forefront of the drug discovery process

Everything we do here at Antiverse challenges the status quo. We work in an industry where there are more antibodies than there are stars in the universe, so that makes our work fiercely exciting and fun. We like to think differently and are fortunate to have a brilliant team based in Cardiff. It’s our mission to make a difference to people’s lives that drives us.

Team

Everything we do here at Antiverse challenges the status quo. We work in an industry where there are more antibodies than there are stars in the universe, so that makes our work fiercely exciting and fun. We like to think differently and are fortunate to have a brilliant team based in Cardiff. It’s our mission to make a difference to people’s lives that drives us.

Ben Holland
Co-founder/CTO
Co-developed world’s first antibody generator. MEng Engineering Science from Oxford University, inventor on several patents, 14 years commercial experience.
Murat Tunaboylu
Co-founder/CEO
Former software manager in a robotics company, automated DNA synthesis workflows at Thermo Fisher Scientific, 16 years experience.
Kerstin Papenfuss
Investor Director
Expert in antibody drug development, biotechnology and pharmaceutical market places. Leadership roles at LifeArc, the Cell and Gene Therapy Catapult and Deep Science Ventures.
Joe Peskett
ML & Software Engineer
Implements machine learning solutions, working on the infrastructure and systems required to build, optimise and deploy the models.
Dr Andrew Moyes
Senior ML Engineer
Developer of novel computer vision algorithms for automatic analysis of medical images with a focus on domain shift and representation learning.
Ryan Emerson
ML Engineer
Bachelors degree in Pharmaceutical Science and masters in Data Science. Ryan co-organises the PyData Cardiff group.
Serbulent Unsal
Senior ML Engineer
Researcher and experienced software developer. Thesis on multiscale tumor modeling,  specialised in computational methods to characterize and manipulate proteins using artificial intelligence (AI).
Michael Mahdavi
Business Development Lead
Masters degree in Chemistry with specialisation in Biochemistry and bachelors in Biology and Biotechnology. Sold his
first company at 19.
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News

AI-ADD Top 20 pharma

Antiverse collaborates with a top 20 pharma company to identify antibody drug candidates using AI Augmented Drug Discovery platform.

Antiverse’s platform accurately identified diverse and rare antibodies.
Project demonstrates potential of Antiverse’s platform to reduce time and costs associated with antibody drug discovery.

Read More

£1.4M Seed III Round

Antiverse, a biotechnology company developing a computational antibody drug discovery platform, has raised seed funding totalling £1.4 million ($2 million USD), comprising new investment and match funding from Innovate UK, the UK’s innovation agency.

Accepted into MI Garage programme

The programme is designed for startups with well defined business models and technical capability, in addition to access to computation power, the programme provides the frameworks and expertise to accelerate the responsible and ethical development and application of AI across industry.

Hello Tomorrow’s Top 500

We’ve been selected as one of Hello Tomorrow’s Top 500 deeptech startups from over 4,500 applications from 119 countries!

Seed I Round

It is our pleasure to share that Antiverse has closed its Seed Round with well-known, highly regarded investors from software and biotech industries. The capital and the new connections acquired at this round will give Antiverse the chance to bring its machine learning model to the next level.

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