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Recently Funded|Amount: EUR 22.0M|Industry: Software Development

Seqera Labs Raises $22M in Series A to Supercharge Cloud-Based Data Analysis Pipelines

Seqera Labs

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51-200 employees employees (Est.)
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Seqera Labs is thrilled to announce a significant milestone in our journey toward transforming the way complex data analysis pipelines are built and deployed on the cloud. We are proud to have raised $22,000,000 in our latest funding round, a success that marks a pivotal moment for the future of our innovative solutions. At its core, Seqera Labs is on a mission to simplify and revolutionize the process of developing massively scalable and distributed computing solutions, and our funding will empower us to further this vision. Our flagship, open-source technology, Nextflow, has already transformed the approach to building custom pipelines and data applications by liberating customers from the constraints of closed-platforms and outdated custom scripts. This round of funding will be strategically deployed to accelerate the development of our cloud-native software, enhance the capabilities of Nextflow, and expand our market reach across industries such as pharma, genomics, and biotech. By investing in new features and integrative functionalities, we aim to better meet the evolving needs of developers and data scientists who are tasked with managing increasingly complex data environments. Furthermore, the capital infusion will support initiatives to improve customer engagement and bolster our community of open-source contributors around the globe. Our commitment to open innovation is stronger than ever, and we look forward to leveraging this funding to drive not only technological breakthroughs but also industry-wide collaboration that challenges the status quo and paves the way for a truly open and efficient future in cloud data processing.
February 6, 2025

Buying Signals & Intent

Our AI suggests Seqera Labs may be interested in solutions related to:

  • Software Engineering
  • Cloud Computing
  • Containerization
  • Data Management
  • Collaborative Research Tools

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