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Enhancing Research Productivity by 30%
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Pharmaceuticals
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
Use Cases
- Predictive Quality Analytics
Services
- Cloud Planning, Design & Implementation Services
The Challenge
Arcturus Therapeutics, a leader in RNA medicines, faced several challenges in their research process. The lack of standardized molecular design tools hindered their ability to collaborate effectively. Their legacy Electronic Lab Notebook (ELN) was cumbersome and led to low usage among scientists. It took an average of 10 days for experimental data to be entered into the system, if at all. Additionally, the absence of a standard data store and sequence repository scattered data and prevented the capture of institutional knowledge.
About The Customer
Arcturus Therapeutics is an industry leader in the development of RNA medicines. The company's mission is to leverage its versatile, breakthrough RNA platform to create novel therapies for rare diseases that currently lack adequate treatments. Arcturus collaborates with Janssen Pharmaceuticals and Ultragenyx Pharmaceutical, demonstrating its significant presence and influence in the pharmaceutical industry.
The Solution
Arcturus Therapeutics implemented Benchling's all-in-one, cloud-based suite to address their challenges. This suite allowed Arcturus scientists to design sequences together and share plasmids and annotations, enhancing collaboration. The Benchling Lab Notebook, with its rich protocol repository and direct Molecular Biology integration, was adopted by 90% of the users, a significant increase from the 20-30% user adoption of the legacy ELN. The time to data entry was reduced from 10 days to 1 day. Benchling became the central source of truth for the organization, enabling scientists to quickly locate data and reallocate more than 30% of their day-to-day work towards science, rather than note-taking and searching data.
Operational Impact
Quantitative Benefit
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