Strategy & planning
Before you commit the budget.
We assess scientific and operational requirements, then plan tools, infrastructure, budgets, and skills. You get a roadmap you can act on.
Explore planningBioinformatics. Built around the lab.
Biology has enough variables.
We build bioinformatics tools, analysis workflows, and infrastructure for labs, research teams, and diagnostics. From the first question to a working system, with documentation and training so your team can take it from there.
Question & starting point
Research data, lab processes, existing systems
DATA + CONTEXTWorkflows & infrastructure
Develop analyses, connect systems
BUILD + DEPLOYResults & independent operation
Reports, documentation, training
REPORTS + KNOW-HOW
Reproducible. Even when the person who built it is away.
Our working environment
Data analysis Multi-omics Workflow engineering Cloud & HPC
How we help
Where is your project today?
Planning, implementation, or ongoing operations: start where you need us.
Pipelines & infrastructure
When the workflow needs to work.
We develop analysis workflows, automate data processing, and integrate cloud and HPC systems. With quality control, documentation, and training built in.
Explore implementationConsulting & optimization
When the workload grows.
We find bottlenecks, troubleshoot pipelines, and guide upgrades. Your team gains the knowledge to keep improving the system.
Explore supportThe perspective
Fluent in bench and terminal.
Lab experience and software engineering belong in the same conversation. We consider sample quality, metadata, and analysis goals alongside computing capacity and running costs.
Meet DataHelix- Genomics & public health: WGS, pathogen surveillance, and antimicrobial resistance.
- Multi-omics: Transcriptomics, metagenomics, and integrated analyses.
- Infrastructure: Cloud, HPC, and data management that fit your lab.
The handover
The knowledge stays with you.
A handover is only useful if your team can use what we built. Documentation, validation datasets, and practical training are part of the implementation.
- Understand: Agree on goals, data, and day-to-day workflows.
- Build: Develop, test, and deploy pipelines in your environment.
- Hand over: Work through operation and troubleshooting with your team.
The next step
An open question is a good start.
Tell us what you are building or where the workflow gets stuck. We will discuss what help makes sense and what the next step could be.