MSAID GmbH

MSAID GmbH

Cutting-edge data analysis solutions & services for proteomics using powerful machine learning algorithms.

Financials

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Revenues, earnings & profits over time
EUR20192020202120222023
Revenues00000000000000000000
% growth-1444 %6 %33 %42 %
EBITDA00000000000000000000
Profit00000000000000000000
EV00000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x
R&D budget00000000000000000000

Source: Company filings or news article, Dealroom estimates

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More about MSAID GmbH
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MSAID is a startup that operates in the field of proteomics, a branch of biology that studies proteins, their structures, and their functions. The company uses artificial intelligence (AI) to revolutionize the way scientists analyze proteomics data. MSAID's primary clients are scientists and researchers who require advanced data analysis for their proteomics studies.

The company's business model revolves around providing software and data analysis services. They use machine learning algorithms to aid mass spectrometry, a technique used to identify the amount and type of chemicals present in a sample. MSAID has developed a unique AI-driven search algorithm that significantly improves peptide identification, a crucial aspect of proteomics.

MSAID's offerings include INFERYS, a versatile deep learning framework, and CHIMERYS, an intelligent search algorithm. They also offer INFERYS Rescoring, an AI upgrade that enhances the capabilities of the INFERYS framework. Additionally, they provide custom deep learning models that can be tailored to specific needs, instruments, and infrastructures.

One of the company's significant achievements is the development of next-generation data analysis services that can identify up to three times more peptide-spectrum-matches than traditional workflows. This is a significant advancement in the field of proteomics.

MSAID also offers custom in-silico spectral libraries, which are predicted spectral libraries that can be generated for any peptide sequence and organism. These libraries are less expensive and more comprehensive than traditional methods.

In summary, MSAID is a pioneer in applying AI to proteomics, offering innovative software solutions and data analysis services that significantly improve the efficiency and accuracy of proteomics research.

Keywords: Proteomics, Artificial Intelligence, Machine Learning, Data Analysis, Mass Spectrometry, Peptide Identification, Deep Learning, INFERYS, CHIMERYS, Spectral Libraries.

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