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

Scailyte raises CHF 2.75M in seed funding and gains Swisscom Ventures & Zürcher Kantonalbank as investors
Scailyte raises CHF 2.75M in seed funding and gains Swisscom Ventures & Zürcher Kantonalbank as investors
Event date: January 11, 2019
Scailyte AG, a Swiss startup in the emerging and rapidly growing field of single-cell technologies, raised CHF 2.75M in seed funding

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Porto Conference: Biobanking 2019
Porto Conference: Biobanking 2019
Event date: February 14, 2019
Our specialist Lina Belmaachi, will present the features and use-cases of #ScaiBmd at the Biobanking 2019 Conferences on the 14-15 February

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Porto Conference: 2nd Annual Companion Diagnostics & Biomarkers 2019
Porto Conference: 2nd Annual Companion Diagnostics & Biomarkers 2019
Event date: February 14, 2019
Our specialist Lina Belmaachi, will present the features and use-cases of #ScaiBmd at the 2nd Annual Companion Diagnostics & Biomarkers

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