Software and Data Partner
Tenseq is a software and data partner for life science research and operations. It builds bioinformatics pipelines, machine learning models, scientific software, and the laboratory and data systems that CROs, CDMOs, and biotech companies run on.
Get in touchCapabilities
Select a capability to see how we build it.
End-to-end workflows that take raw instrument output through to analysis-ready results, with quality control at every step, data and pipeline versioning, and run-level observability so each result is traceable and reproducible. We build on Nextflow or Snakemake, containerised and portable across a laptop, an HPC cluster, or the cloud, so the same pipeline runs anywhere without surprises.
Example pipelines
Built with Nextflow, Snakemake, nf-core, containers, and workflow versioning.
We take your bespoke data, assay readouts, sequencing, imaging, and process records, and build models that predict outputs you can act on. The target depends on the science: response and toxicity, candidate ranking, property and structure prediction, assay outcomes, process yields, or quality flags. Every model comes with honest validation, calibrated uncertainty, and a clear handover, so it is something your team can rely on rather than a result that only looks plausible.
Example applications
Built with PyTorch, scikit-learn, gradient boosting, and experiment tracking.
APIs, command line tools, libraries, and web applications, engineered to a production standard with tests, documentation, and versioned releases. We build internal tools that a team uses every day to cut manual work, and we harden software into products you can offer to your own customers. The result is long-term maintainable, owned by you, and built to be audited and extended rather than rewritten.
Example deliverables
Built with Python, Rust, TypeScript, automated testing, and CI/CD.
We design and run the systems your data lives in, cloud-native on AWS, Azure, or Google Cloud, or on-premises when data residency or cost calls for it. We model custom databases, schemas, and data primitives around your science, with access control, lineage, and backups built in, so data stays findable, governed, and ready for analysis as it grows.
We also connect to the laboratory systems your operations run on, integrating electronic lab notebooks (ELN) and LIMS so sample, assay, and result data flow without manual re-entry. Audit trails, versioning, and data integrity controls are built in to support GMP and GxP compliance, including 21 CFR Part 11, so the platform is ready for inspection rather than scrambled together before one.
Example builds
Built with AWS, Azure, GCP, Postgres, object storage, and infrastructure as code.
About Tenseq
Tenseq is the engineering and data team behind the science. We build the bioinformatics pipelines, machine learning models, scientific software, and data infrastructure that biotechs, CDMOs, and CROs rely on, so your scientists spend their time on the biology rather than the infrastructure.
The code we write is built to a regulated standard. Pipelines and tools are versioned, tested, and documented, with audit trails, lineage, and data integrity controls that support GMP and GxP compliance, including 21 CFR Part 11. Compliance readiness is designed in from the first commit, not retrofitted before an inspection.
It is also built for efficiency. We replace manual, error-prone steps with automated, observable systems that scale with your data, which means fewer handoffs, faster turnaround, and lower operational cost, whether you are processing a single run or thousands.
You own everything we deliver. We work as an embedded partner and hand over versioned, documented systems your team can run, audit, and extend, giving you the capability of an in-house computational group without the cost of building one.
Process
01
We map the scientific question, the data, and the constraints before any code is written.
02
We develop pipelines, models, and tools to a production standard, working alongside your team.
03
We test against known results and document every assumption so the work is reproducible.
04
We deliver versioned, documented software your team can run, audit, and extend.
Principles
Every result traces back to versioned code, data, and a defined environment.
Methods are chosen to fit the science and documented in plain terms.
You keep the software we build, with no dependency on us.
Tools that keep running reliably long after a project closes.
Get in touch
Bioinformatics Inquiries
bioinformatics@tenseq.comFor pipeline, modelling, and scientific software projects.