Accelerating Thanokine™based therapeutics with a modern data infrastructure
Company Size
11-200
Region
- America
Country
- United States
Product
- Benchling
Tech Stack
- Cloud Computing
- Data Warehousing
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Healthcare & Hospitals
- Life Sciences
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Inzen Therapeutics is a biopharma startup based in Cambridge, MA. The company focuses on the process of cell death as the start of therapeutics discovery. Their lead programs are designed to kill tumor cells and direct Thanokines™ from the dying tumor to rewire the microenvironment to generate strong immune responses. There are further indications in fibrosis and regeneration. The company's Data Science team plays a crucial role in extracting knowledge from a myriad of lab activities. However, they were facing challenges in integrating wet lab and informatics teams.
The Challenge
Inzen Therapeutics, a biopharma startup, was facing challenges in integrating wet lab and informatics teams. The scientists were using different terminologies to describe the same processes and data, which was slowing down data integration and discovery. They were unable to track samples through the entire experiment lifecycle, which hindered their understanding of the cell of interest. As a small startup with limited resources, they needed a solution that was intuitive to use and easy to maintain.
The Solution
Inzen Therapeutics implemented Benchling, an electronic lab notebook (ELN) and laboratory information management system (LIMS) solution. The implementation process was collaborative and streamlined, with Benchling providing an Implementation Manager to work with Inzen to design and implement a custom data structure in just three months. With Benchling, Inzen's scientists have greater visibility into all of their data and more confidence in their insights. All of their high-value samples are traceable from the moment they are registered, and the full history of manipulations as well as any downstream samples is visible at a glance, even if they were generated by different scientists working months apart. All of the data is now standardized, effortlessly searchable, and easy to pull out of Benchling’s data warehouse.
Operational Impact
Quantitative Benefit
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