Case Study: Dyno Therapeutics achieves faster AI-driven gene therapy development with Benchling

Unlocking the future of gene therapy with AI-powered design

Dyno Therapeutics is a Watertown-based, VC-backed biotech using AI and machine learning to design AAV capsids for more effective gene therapy delivery. The company faced fragmented, legacy documentation (OneNote and Google Sheets), inaccessible and inconsistent data, and organizational silos that hindered automation, model training, and cross-team collaboration.

By centralizing data on Benchling and standardizing sample ontology and metadata, Dyno harmonized schemas, enforced inherited metadata, and made data FAIR and machine-ready. The change saved scientists time, enabled in silico ML screening of capsid sequences, accelerated milestones, improved decision making, and increased the probability of technical success through better collaboration and automation.

Dyno Therapeutics

Eric Kelsic

Founder & CEO