Cytomos

Cytomos

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Private Company

Total funding raised: $5.7M

Overview

Cytomos is pioneering a novel Process Analytical Technology (PAT) for the biopharma industry with its AuraCyt® platform, commercialized as the Celledonia® system. This technology measures intrinsic cell properties without labels or complex assays, aiming to deliver rapid, predictive insights to accelerate bioprocess optimization and cell therapy manufacturing. The company is investor-backed, collaborates with large biotechs and pharma on proof-of-concept studies, and targets becoming the leading partner for real-time, single-cell analytics in bioprocessing. Its mission is to streamline drug discovery, development, and manufacturing through real-time monitoring and automation-enabling data.

Cell TherapyDiagnostics

Technology Platform

AuraCyt® / Celledonia®: A label-free, real-time single-cell analysis platform that measures intrinsic biophysical/biochemical properties to predict cell performance in bioprocessing. It uses microfluidics and proprietary signal processing for rapid, assay-free insights.

Funding History

2
Total raised:$5.7M
Seed$4.5M
Grant$1.2M

Opportunities

The rapid growth of cell and gene therapies creates an urgent need for advanced process analytical technology (PAT) to improve manufacturing efficiency and consistency.
Cytomos's label-free, real-time platform is well-positioned to become a standard tool for bioprocess optimization and monitoring, enabling faster development and lower costs for high-value therapeutics.

Risk Factors

Key risks include the challenge of displacing established analytical methods in a conservative industry and the need to robustly validate the predictive power of its novel technology across diverse applications.
As a pre-revenue startup, the company also faces financial dependency on investor funding and competitive pressure from larger instrument companies.

Competitive Landscape

Cytomos competes with established life science tools companies offering flow cytometers and analyzers (e.g., Beckman Coulter, Sartorius) and newer startups in label-free cell analysis (e.g., using impedance, imaging). Its differentiation lies in the combination of label-free operation, real-time predictive output, and specific application focus on bioprocessing decision-making.