Celldom

Celldom

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Private Company

Total funding raised: $3.5M

Overview

Celldom is a private, pre-revenue platform company founded in 2016, focusing on advanced live cell analysis. Its core technology automates the processing and multi-parameter analysis of over 100,000 single cells per plate, capturing secreted proteins, morphology, migration, gene expression, and surface proteins over time without complex microfluidics. The platform aims to address critical bottlenecks in identifying rare cells and characterizing dynamic cell-cell interactions, which are essential for cell therapy development and bioprocessing. Celldom's approach provides a unique tool for researchers and developers needing functional, longitudinal data at single-cell resolution.

Cell TherapyAI / Machine Learning

Technology Platform

Live single-cell biology platform using microwell arrays and AI-driven analytics to perform real-time, high-throughput, multi-parameter functional analysis (including secreted protein detection, morphology, migration, gene expression, surface proteins) on individual cells over time under standard culture conditions.

Funding History

2
Total raised:$3.5M
Seed$3.5M
SeedUndisclosed

Opportunities

The rapid growth of the cell therapy market creates strong demand for tools that can characterize functional potency and identify rare, highly active cell clones.
The platform's unique ability to measure secreted proteins and cell-cell interactions in real-time addresses a critical gap in single-cell analysis, positioning it for adoption in both drug discovery and manufacturing QC.

Risk Factors

Intense competition from larger, well-funded single-cell analysis companies poses a significant market penetration challenge.
As a pre-revenue private company, Celldom is dependent on securing additional funding to scale operations and achieve commercial traction, making it vulnerable to shifts in investor sentiment.

Competitive Landscape

Celldom competes in the single-cell analysis market against established players like 10x Genomics (genomics-focused), Sartorius (Incucyte live-cell imaging), and Berkeley Lights (optofluidic cell selection). Its key differentiation is the combination of long-term live-cell imaging, high-throughput secretome analysis, and AI-driven behavioral tracking without complex microfluidics.