Client is a fast-growing Biotech company developing a disruptive synthetic DNA technology that is changing the world by enabling widespread healthcare and sustainability. Sparity assisted in the development and maintenance of MES system that tracks and records the progression of raw materials to finished products for their proprietary semiconductor-based synthetic DNA manufacturing process.​

ClientBiotechServicesProduct EngineeringYear 2022

Key Challenges

  • The Manufacturing Execution System is based on the the needs and requirements of stakeholders, including suppliers, manufacturers, and regulatory agencies ​
  • Ensure data security as the company handles sensitive and confidential data, such as patient information and trade secrets​​
  • Integrate the tool with existing systems in place for logistics, and supply chain management to be more effective​


Net core


  • Plugged in our global engineering & distributed teams capability in multiple technologies viz., Python, React and Angular, .Net Core, Container (Kubernetes and Docker)​
  • Built and maintained a scalable microservices MES System that can handle large volumes of data, transactions and stakeholders making it easier to adapt to changing business needs or traffic patterns​
  • Developed system uses real-time input system, such as sample tracker, to track samples within the process flow as well as accurately document reagents and instruments used​
  • Leveraged ReactJs to build the user interface of the MES system, making it more user-friendly and intuitive and easy to maintain and update the system​​
  • Created backend API‘s development using Python Django​ while working with databases such as Postgres, MySQL​​ ​
  • Connected these APIs with SAP allowing data to be exchanged in real-time for increased efficiency and improved data visibility​​​ ​
  • Implemented robust security measures to safeguard sensitive data​ ​


  • Improved efficiency by identifying bottlenecks in production processes, allowing manufacturers to optimize production lines, reduce downtime, and increase overall productivity​
  • Allowed manufacturers to quickly identify and resolve issues with real-time data on production processes
  • Helped client with faster time to market with better decision making​