DataHow

DataHow is a Swiss technology startup specializing in data analytics and bioprocess modeling, aiming to revolutionize the biopharmaceutical industry. The company operates in the biopharma sector, focusing on improving bioprocess development and manufacturing through digital solutions. DataHow's flagship product, DataHowLab, integrates bioprocess expertise, knowledge, and research into a digital platform designed to address the specific challenges of bioprocess development from its early stages. This platform has already successfully solved hundreds of use cases for its clients.

DataHow primarily serves biopharmaceutical companies that are looking to enhance their process development and manufacturing capabilities. By leveraging advanced data analytics and bioprocess modeling, DataHow helps these companies optimize their operations, reduce costs, and improve efficiency. The company believes that the biopharma industry has yet to fully embrace the digital age, and it aims to be a key partner in guiding these companies through their digital transformation journey.

The business model of DataHow revolves around providing its digital solution, DataHowLab, to biopharma companies. The company generates revenue through the sale of licenses for its software platform, as well as through consulting services where its experts assist clients in implementing and optimizing the use of DataHowLab. By offering a combination of software and expert consulting, DataHow ensures that its clients can fully capitalize on the benefits of digital transformation in their bioprocess operations.

In summary, DataHow is a technology-driven company that uses data analytics and bioprocess modeling to help biopharmaceutical companies improve their process development and manufacturing. It operates in the biopharma market, serving clients who are looking to enhance their operations through digital solutions. The company makes money by selling software licenses and providing consulting services.

Keywords: Data analytics, Bioprocess modeling, Biopharma, Digital transformation, Process development, Manufacturing, Optimization, Consulting, Software, Technology.