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Cloud Services for Life Sciences

Veeva Systems is a provider of cloud-based software solutions and has become an important player in the life sciences industry. Their solutions span across areas such as clinical, regulatory, quality, and commercial operations of life sciences organizations. Veeva's products are designed to help life sciences companies maintain compliance, improve efficiency, and speed up the time to market for their products.

Founding and Growth

Founded in 2007 by Peter Gassner, Veeva Systems sought to disrupt the life sciences industry with its unique cloud-based applications. The company's pivotal moment came with the introduction of its flagship product, Veeva CRM, which helped establish Veeva as a significant player in the market. In 2020, the company played a crucial role in the global fight against the COVID-19 pandemic, providing its Vault Clinical Trial Management System (CTMS) to help expedite clinical trials for potential vaccines. Their CRM product is still one of the cornerstones of the company’s operations.

The Software

With its tailored cloud-based software solutions, Veeva Systems has managed to establish a global reach. Their products have been adopted by organizations of various sizes, from emerging biotechs to large pharmaceutical firms such as Bayer. The company's solutions facilitate the streamlining of data and processes across multiple departments in these organizations, making it an extremely useful platform in the industry. Unlike other CRM providers such as Oracle, Veeva is tailor-made for the needs and requirements of the life sciences industry.

A Product Applicable in Critical Areas

Veeva Systems offers a diverse product suite that addresses both complex and everyday challenges in the life sciences industry. Veeva's applications cover critical areas of the life sciences sector, including clinical data management, customer relationship management, content and document management, and more. Their software solutions have aided organizations in managing and leveraging their data more efficiently, saving money while contributing to advances in healthcare and medical research.