Case Study: Joywell achieves faster, scalable sweet protein engineering with Benchling's R&D Cloud

Engineering sweet proteins at scale to improve population health

Joywell is a Davis, CA-based industrial biotech (11–50 employees) on a mission to replace sugar with nutritious sweet proteins to improve population health. Their challenge was translating single-batch fermentation to industrial scale and commercial readiness while data needed for strain engineering and fermentation was scattered across people, notebooks, machines and 10–20 different file formats—causing weeks of extra work and slowing business decisions.

By adopting Benchling’s R&D Cloud, Joywell centralized and standardized experimental data, implemented structured data capture, and enabled automatic dashboards and real-time insights. The change eliminated manual data aggregation, saved scientists hours per week, sped executive decision-making, improved collaboration across partners, and supported commercialization—helping Joywell track key metrics and complete three tech transfers to scale production.

Joywell

Jason Ryder

Founder