Trisk Bio manufactures adeno-associated virus (AAV) capsids using suspension bioreactors that achieve over 97% purity and high yields exceeding 1e15 vg/L. Their technology enables consistent production across all development stages, addressing the challenge of scalability in AAV manufacturing.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Product
Problem
Adeno-associated virus (AAV) manufacturing for gene therapy faces challenges in achieving high purity and yields, particularly when scaling up production from research to clinical and commercial stages. Inconsistent production methods across development phases can lead to variability in AAV quality and quantity, hindering therapeutic efficacy and increasing costs.
Solution
Trisk Bio addresses these challenges by manufacturing AAV capsids using suspension bioreactors, achieving purity levels exceeding 97% and high yields of over 1e15 vg/L. Their technology ensures consistent production across all development stages, eliminating the need to alter processes during scale-up. By employing automated skids and parallelized systems, Trisk Bio maintains tight control over manufacturing processes, minimizing operator error and enabling rapid optimization of conditions for quality and yield. This scale-out approach ensures robustness and reproducibility, delivering high-quality AAV for gene therapy applications.
Target Audience
Trisk Bio's primary customers are gene therapy developers and researchers requiring high-quality, scalable AAV manufacturing for preclinical studies, clinical trials, and commercial production.
Features
- Suspension bioreactors for high-yield AAV production (1e15+ vg/L from harvest)
- Downstream processing steps yielding >97% pure AAV
- Automated skids for tight process control and minimal operator error
- Parallelized systems enabling consistent production across all development stages
- Scale-out approach for rapid optimization of quality and yield without scale-up concerns