Sixfold Bioscience

Sixfold Bioscience

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Private Company

Total funding raised: $3M

Overview

Sixfold Bioscience is a private, pre-clinical stage biotech pioneering a novel approach to RNA therapeutic delivery. Its proprietary Mergo® platform uses machine learning and evolutionary principles to design programmable RNA tags that direct therapeutic RNA to specific cells, addressing the major industry bottleneck of extra-hepatic delivery. Founded by Dr. Anna Perdrix Rosell and Dr. George Foot, the company has assembled a multidisciplinary team of over 20 to advance its platform and build a pipeline of RNA therapies for genetic diseases. While holding significant potential, the company faces risks inherent to novel platform validation and the competitive drug delivery landscape.

Genetic Diseases

Technology Platform

Mergo® platform: an AI-powered system for designing programmable RNA tags that direct therapeutic RNA to specific cell types, inspired by natural, unencapsulated RNA delivery mechanisms.

Funding History

2
Total raised:$3M
Grant$500K
Seed$2.5M

Opportunities

The platform addresses the fundamental bottleneck in RNA therapeutics—extra-hepatic delivery—which could unlock hundreds of disease targets in neurology, muscular disorders, and beyond.
A validated delivery technology could generate immense value through internal pipeline development and high-value partnerships with large biopharma companies.

Risk Factors

The core technology is novel and unproven, facing significant technical hurdles in achieving specific, potent, and safe delivery in vivo.
The company operates in an intensely competitive landscape against well-funded alternatives and is reliant on continued funding as a pre-revenue, pre-clinical entity.

Competitive Landscape

Sixfold competes in the crowded RNA delivery space against companies developing advanced lipid nanoparticles (e.g., Acuitas, Genevant), ligand-conjugated platforms (e.g., Alnylam's GalNAc), and viral vectors. Its differentiation lies in its biologically-inspired, unencapsulated approach and its integrated AI/ML-driven design cycle.