Nanite

Nanite

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Private Company

Total funding raised: $53.5M

Overview

Founded in 2019 and based in Cambridge, USA, Nanite is a private, pre-clinical biotech leveraging a proprietary AI platform called SAYER to engineer polymer nanoparticles for genetic drug delivery. The platform integrates computational design, automated synthesis, and multi-modal biological screening to rapidly identify PNPs with optimal tissue targeting, expression, and safety profiles. Nanite is initially targeting genetic diseases, with disclosed work in cystic fibrosis and an HIV gene therapy project funded by the Gates Foundation, positioning itself as a potential disruptor in the gene therapy delivery space.

Genetic DiseasesCystic FibrosisHIV

Technology Platform

SAYER™: An AI-powered, closed-loop platform that integrates computational polymer design, high-throughput synthesis & characterization, multiplexed in vivo screening, and machine learning to engineer tissue-specific polymer nanoparticles (PNPs) for gene delivery.

Funding History

2
Total raised:$53.5M
Series A$40M
Seed$13.5M

Opportunities

The massive and growing gene therapy market is critically constrained by delivery challenges.
Nanite's non-viral, tunable polymer nanoparticles could address the limitations of viral vectors and LNPs, enabling safer, repeatable, and tissue-specific genetic medicines.
Success could position the company as a leader in next-generation delivery or an attractive platform partner for large pharma.

Risk Factors

High technical risk in proving AI-designed polymers are effective and safe in humans.
Intense competition from other novel delivery technologies.
Significant funding required to advance through clinical trials.
Unproven scalability of PNP manufacturing and potential unknown long-term toxicity profiles.

Competitive Landscape

Nanite competes in the crowded gene delivery space against established viral vector companies, LNP developers (e.g., those used in mRNA vaccines), and other biotechs exploring novel lipid, polymer, and virus-like particle technologies. Its key differentiator is the integrated use of AI and high-throughput in vivo multiplexing to systematically decode and design polymer-biology interactions.