Camunda Case Studies Camunda BPM at Zymergen
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Camunda BPM at Zymergen

Camunda
Platform as a Service (PaaS) - Application Development Platforms
Chemicals
Life Sciences
Pharmaceuticals
Product Research & Development
Quality Assurance
Predictive Quality Analytics
Process Control & Optimization
Software Design & Engineering Services
Zymergen, a molecular technology company, was facing challenges in expediting the process of onboarding new projects while maintaining process efficiency and customizability. With an increase in clients, the company needed to reduce the time required to onboard new projects while still guaranteeing efficient and customizable processes. This required a solution that could integrate with its automation and digital systems while providing a flexible interface for scientists and other non-programmers to create, update, and execute these complex workflows.
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Zymergen is a US-based molecular technology company that creates and improves products using biology. It works with companies in industries including agriculture, pharmaceuticals, chemicals, materials, electronics, and personal care, to both improve the economics of existing molecules, as well as develop new products with engineered microbes. Zymergen’s manufacturing teams engineer and test microorganisms such as bacteria and yeast to improve performance in large-scale fermentation processes. These methods ultimately help microbes more efficiently transform raw input, such as sugar, into molecules of interest.
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Zymergen decided to implement Camunda BPM, a flexible and scalable workflow automation solution. The company uses Camunda’s Spring Boot integration to implement a project and primarily uses Java to interact with different software and automation services in their ecosystem. The combination of Spring and Camunda makes it easy for Zymergen to utilize technologies like REST or publish/subscribe to coordinate and orchestrate its systems. Using these techniques, the Zymergen software team has developed a library of Call Activities that interact with data and automation systems, which scientists use to assemble biologically-significant workflows.
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Increased the speed of process onboarding
Reduced the number of manufacturing workflow deviations
Minimized the time spent analyzing data for process troubleshooting and optimization
Approaching 20,000 process instance executions per month
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