Flexomics

Flexomics

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Private Company

Total funding raised: $4.5M

Overview

Flexomics is an early-stage biotech innovator building a unique functional genomics platform. Its core technology, centered on the FLEX picowell chip, enables researchers to culture, assay, and image live cells before performing single-cell RNA sequencing on the same sample, creating a direct link between cell behavior and molecular identity. The company, founded in 2020, operates as a private platform technology provider, securing non-dilutive funding through prestigious grants and industry partnerships to advance its tools for therapeutic discovery.

OncologyImmunology

Technology Platform

Integrated platform combining live-cell fluorescence imaging and single-cell RNA sequencing on a proprietary microfluidic picowell chip (FLEX chip). Enables 'Bring Your Own Assay' functional studies with direct linkage of phenotypic imaging data to transcriptomic profiles from the same individual cells.

Funding History

1
Total raised:$4.5M
Seed$4.5M

Opportunities

The growing demand for integrated multi-omic data in drug discovery, particularly for complex biologics and cell therapies, presents a major opportunity.
Flexomics' unique ability to link live-cell function directly to genotype can address critical bottlenecks in antibody discovery, cell therapy characterization, and target validation.

Risk Factors

Key risks include slower-than-expected adoption by researchers accustomed to separate imaging and sequencing workflows, potential competition from large life science tool companies, and the execution challenges of scaling a hardware/consumable platform and transitioning from grant funding to sustainable commercial revenue.

Competitive Landscape

Flexomics competes in the single-cell analysis space against large players like 10x Genomics, BD, and Standard BioTools, which focus primarily on sequencing or mass cytometry. Its unique differentiator is the seamless, on-chip integration of extended live-cell imaging prior to sequencing. It may also face competition from academic labs developing custom integrated methods and from companies specializing in high-content imaging or spatial genomics.