deepMirror Copy - Digital Life Sciences R&D. Powered by Small Data AI.

Make Breakthrough Discoveries.
From Small Data.

AI can revolutionise global health. Yet adoption is slow, because building and deploying AI requires vast quantities of curated data.

Meet DeepMirror Spark, our agile, small data focussed Breakthrough Discovery platform. Request early access now to use AI from day 1.

Make Breakthrough Discoveries.
From Small Data.

AI can revolutionise global health. Yet adoption is slow, because building and deploying AI requires vast quantities of curated data.

Meet DeepMirror Spark, our agile, small data focussed Breakthrough Discovery platform. Request early access now to use AI from day 1.

Applications

Applications

Myoglobin

Small Proteins

admin Applications

Predict properties and other experimental endpoints of Antibodies and small proteins

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Small Molecules

admin Applications

Predict molecular properties and other experimental endpoints

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Microscopy Images

admin Applications

Classify and segment microscopy images with our assistive digital workflows

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Oligonucleotides

admin Applications

Predict RNA/DNA sequence properties and other experimental endpoints

News

News

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The Big Future of Small Data

10 May, 2022

What is Small Data AI and why is it important for the Life Sciences?

molecule

Accelerating Open Source Drug Discovery for Global Health

18 March, 2022

See how the DeepMirror platform may speed up Open Source Drug Discovery for Global Health

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Building the future of Digital Pathology from small data

14 February, 2022

See how the DeepMirror platform may speed up the development of new Pathology tools.

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Growing AI Fast with ML-Ops: Breaking the barrier between research and production

4 January, 2022

Check out how we break the barrier between AI research and production.

Team

Dr Maximilian Jakobs

Dr Maximilian Jakobs

Co-Founder, CEO

Dr Andrea Dimitracopoulos

Dr Andrea Dimitracopoulos

Co-Founder, President

Ryan Greenhalgh

Ryan Greenhalgh

CTO

Amir Shirian

Amir Shirian

Machine Learning

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Trusted By

Trusted By

Trusted by

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