Single-Cell Artificial Intelligence for breakthrough biomedical discovery

Big data challenge

Biomedical researchers are overwhelmed with the volume and complexity of single-cell data and consequently, only a fraction of this insightful resource is utilized and translated into clinically-relevant knowledge and applications. Moreover, scientists, if all done correctly, can take months of intense analysis to arrive to possible biomarker insight.

A new opportunity

Single-cell devices produce a new type of data with unprecedented depth and resolution. This single-cell data holds the answers to long-standing biological questions, and if used to its full potential, can ultimately lead to early and ultra-sensitive detection of a wide range of diseases.

Single-cell Biology & AI

Scailyte was established to build and apply Artificial Intelligence technology (i.e. Convolutional Neural Network) for the interpretation of single-cell data. We aim to unlock human’s single-cell ‘hidden secrets’ and convert highly complex data into new medical insights and usable knowledge.

Unprecedent biomedical insight

Product & Services

Highlights

Check our latest achievements and news

Seminar in Mass & Flow Cytometry Data Analysis by Deep learning
Seminar in Mass & Flow Cytometry Data Analysis by Deep learning
Event date: December 12, 2018
Join us at the German Rheumatism Research Centre Berlin (DRFZ) for our Seminar about the Analysis of Flow and Mass Cytometry Data.

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Seminar in Mass & Flow Cytometry Data Analysis by Deep learning
Seminar in Mass & Flow Cytometry Data Analysis by Deep learning
Event date: November 22, 2018
We are pleased to announce a Seminar at the University of Zurich about the Analysis of Flow and Mass Cytometry Data with ScaiVision.

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Scailyte has been selected as one of Hello Tomorrow’s Top 500 deeptech start-up
Scailyte has been selected as one of Hello Tomorrow’s Top 500 deeptech start-up
Event date: November 28, 2018
Scailyte has been selected as one of Hello Tomorrow’s Top 500 deeptech start-ups from over 4,500 applications from 119 countries!

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