Engineering sweet proteins at scale to improve population health
公司规模
11-200
地区
- America
国家
- United States
产品
- Sweet protein products
技术栈
- Benchling’s R&D Cloud
- Data Visualization
实施规模
- Enterprise-wide Deployment
影响指标
- Innovation Output
- Productivity Improvements
技术
- 应用基础设施与中间件 - 数据可视化
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 食品与饮料
- 医疗保健和医院
适用功能
- 产品研发
- 质量保证
用例
- 质量预测分析
服务
- 数据科学服务
- 系统集成
关于客户
Joywell is a company based in Davis, CA, with a workforce of 11-50 employees. The company operates in the Industrial Biotech industry. Joywell is on a mission to bring joy and wellness to people by delivering sweet protein products that reproduce the sweetness of sugar without the adverse health repercussions. The company’s goal is to replace sugar with nutritious sweet proteins — helping to fight diabetes, heart disease, and other harmful effects of sugar. To accomplish this goal, Joywell needs to ensure their single batch fermentation processes can be translated to industrial production levels and sweet proteins can reach consumers at scale.
挑战
Joywell, a company on a mission to replace sugar with nutritious sweet proteins, faced several challenges in its quest. The company's data lacked context, making it difficult and time-consuming to make business decisions. The data was scattered across multiple people, notebooks, and machines, resulting in weeks of extra work and preventing teams from answering important business questions quickly. The teams struggled to aggregate large sets of data as data generated by different instruments would come out in different formats. This required scientists to perform a manual, tedious last step of standardizing 10-20 different file formats or risk leaving questions unanswered. To meet its ambitious goals, Joywell needed to ensure its processes are robust and repeatable not just within its lab but also at partner labs.
解决方案
Joywell implemented Benchling’s R&D Cloud, a platform designed to support the types of scientific experiments that Joywell conducts, such as strain engineering and fermentation. By storing standardized data from multiple experiments and various instruments in a single database, Benchling makes valuable data more accessible, saving time and facilitating collaboration. Strain engineering and fermentation teams no longer need to spend hours reformatting data, inputting large datasets into spreadsheets by hand or manipulating the data to gain insights. With Benchling, scientists get to see their data contextualized visually, right away to help them make decisions. The solution also improved collaboration and scalability, supporting commercialization and growth. Joywell can easily track critical success metrics during fermentation and downstream processing like titer, microbial productivity, purity, recovery yield.
运营影响
数量效益
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