Scaling the Future of Scientific Software: Seqera Raises $26M Series B
Today, we're ecstatic to announce that Seqera has raised $26 million in Series B funding, led by Addition with participation from Speedinvest, Talis, Amino Collective, BoxOne, and SNR. This milestone marks a bold step forward in our mission to build the world’s most indispensable software-first platform for bioinformatics and life science R&D.
This funding round deepens our commitment to our broader ambition of delivering the software infrastructure that will power the next era of scientific discovery.
From GitHub Repository to Global Standard
When we built Nextflow over a decade ago, we didn’t dream of large funding rounds or scaling a company. We just wanted to solve a stubborn problem we had: the lack of tooling for open, scalable and reproducible software in biology. Back then, bioinformatics was a painful and fragmented process. Analysis pipelines were difficult to share, nearly impossible to reproduce, and tied to specific environments.
Nextflow was the solution—an open-source workflow engine that made it easier to build, run, and scale complex pipelines across any infrastructure. It wasn’t just about convenience, it was about removing barriers to collaboration and reproducibility in science. We open-sourced it from the beginning, and over the years, thanks to an incredible community of researchers and developers, Nextflow has evolved into the global standard in scientific computing.
What we’ve learned since then is that this problem—and this opportunity—goes far beyond workflows.
Scientific Innovation Runs on Software
The life sciences are in the midst of a tectonic shift. Biology has evolved beyond experiments at the bench; discovery now happens at the intersection of biology, data science, and engineering and it’s all about petabytes of data, mega-scale computing and machine learning models. We’ve entered an era where software is not just a tool for science—it’s a prerequisite for innovation.
But while science has evolved, the computational infrastructure supporting it has lagged. Too many research teams still struggle with clunky, siloed data and analysis and can’t scale with their needs. Too many ideas stall because scientists spend more time wrangling scripts and data than exploring hypotheses and too much time and money is poured into promising therapeutics that fail during clinical validation. Biopharma’s agility is being hurt by a lack of standardization in scientific development.
We believe the way forward is to reimagine the scientific stack from the ground up—and to do it with the same engineering excellence, developer experience, and user empathy that’s reshaped so many other industries in the last decade.
Building the Infrastructure for a New Era of Discovery
With this Series B, we’re doubling down on the core belief that software is now the backbone of modern science, and that empowering scientists with these tools and skills is no longer optional—it’s a requirement for continued innovation and success.
Our work today spans:
- Composable, cloud-native pipelines that can be deployed and scaled across any environment—on-prem, hybrid, or public cloud.
- A collaborative, compliant platform that supports the needs of both startups and global pharma, from early-stage discovery to regulated clinical pipelines.
- AI-native tooling that enables scientists to build workflows faster, eliminate duplicative efforts, and obtain actionable insights from their data.
Seqera isn’t just a product—we’re building the foundation that empowers scientists to excel. A foundation that enables them to work faster, think deeper, and stay focused on what truly matters: solving the world’s toughest problems.
Whether it’s designing new therapeutics, developing diagnostics, personalizing patient care, or decoding the biology of aging and disease—the breakthroughs of tomorrow will be built on the scientific infrastructure we’re creating today.
Empowering a Global Scientific Community
What makes this journey so meaningful is the community that surrounds it. Nextflow and nf-core aren’t just technologies—they’re communities of practice, shaped by thousands of contributors, collaborators, and researchers across the globe.
This community is our greatest strength. It’s proof that the best scientific tools are built in the open, evolve in collaboration, and are battle-tested in real-world research environments. It’s a reminder that science doesn’t progress in silos—we are enabling open collaboration by creating systems that are interoperable, shareable, and transparent by default.
This spirit of open innovation is embedded in the community. As we scale our customers and team, we remain committed to the principles that got us here: open-source tools, open-science resources, and scalable computing that runs anywhere. We're building for individual researchers and global enterprises alike.
A Future Defined by AI, Scale and Interoperability
With tools like Seqera AI in VSCode, the barriers to scientific development are falling away fast. The latest reasoning LLMs can help create hypotheses, develop methods, and explain the meaning of experimental results. Scientists will spend less time writing glue code and more time on impactful work that drives innovation. But most importantly, the next decade of discovery will belong to teams that can use software to generate AI‑powered insights across vast scientific datasets and validate outcomes fast.
The same analysis pipeline that screens 96 samples on a laptop must burst to tens of thousands of cores across clusters and clouds—no rewrites, just a config switch. Automatic checkpointing, resource optimization, and efficient compute storage enable rapid scalability, allowing a prototype created in the morning to reach planetary scale by lunchtime—all while ensuring every analysis remains reproducible down to the byte.
By grounding everything in software best practices, workloads can move to the data. Scientists can leverage containers without ever touching a Dockerfile. This can replace the 15 single-cell analyses being maintained within an R&D org with a single validated, composable backbone. Data can flow from object store to RNA‑seq to structure prediction, and results can be re‑run, reviewed, or validated, accelerating collaboration and reducing compliance burdens across startups and biopharma alike.
A New Chapter in Science
We started Seqera to solve a problem. We’re continuing to redefine what scientists thought was possible and help them dream bigger.
This investment is more than a steppingstone—it’s a launchpad. It’s an opportunity to build faster, reach further, and serve the researchers who are shaping the future of health, climate, agriculture, and space. It’s a signal to the world that software-first science is not just inevitable, it’s already here.
To our customers, our community, and our team—thank you. You’ve helped turn an idea into a movement, and a tool into a platform that’s transforming the way science is done.
There has never been a better time to advocate for science's value to society. The role that software will play in the next chapter of science has never been more evident.