Seven AI drug discovery companies to watch


Seven companies have been highlighted in Clarivate’s ‘Companies to Watch Report’ for delivering more effective and safer medicines to market faster by leveraging artificial intelligence (AI) and machine learning (ML) technology.

From identifying novel targets to simulating how drugs will function in the human body, Clarivate says the companies are combining innovative technologies with therapeutic area expertise and data sets of partners to make incredible strides in the space.

In addition, this year’s report shows the US and China lead the way in patent activity to use AI for drug discovery, with India coming in third. Understanding IP creation as a benchmark of early success can inform the future potential of inventions, investment and partnership opportunities.

This year’s companies to watch:

AQEMIA – a next-generation pharmatech company, which uses unique quantum and statistical mechanics algorithms to fuel generative AI to design novel drug candidates.

Auransa – an AI-native biopharma company which harnesses available data to discover highly intractable diseases with poorly understood biology, aiming to raise the standard of care for cancers by prioritising both efficacy and tolerability in the drugs advanced through trials.

Enveda Biosciences – focuses on the natural world for drug discovery. Enveda Biosciences leverages a combination of ML, metabolomics and automation to identify bioactive, plant-based molecules of interest to overcome the challenges inherent to both synthetic and natural product–based small molecule development.

Pharos iBio – utilises AI technology to develop treatments for refractory and rare diseases such as cancers and to identify novel therapies and repurpose existing therapies across the company’s eight lead candidates that are undergoing preclinical or clinical evaluation.

Quris-AI – combines patient-on-a-chip, AI and real-time nano-sensing technologies to predict the safety and efficacy of drug candidates in humans in a quick, effective and scalable manner.

Relation Therapeutics – uses high-resolution biology, ML and clinical insights to discover transformational medicines. Both computational and experimental technologies are incorporated to better understand human biology and the causes of complex diseases.

SandboxAQ – combines AI and quantum technology (AQ) to address some of the world’s biggest challenges, including drug discovery for complex, undruggable targets and the limited accessibility of fast, accurate, and cost-effective medical imaging.

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