Dedicated team specializing in biotech software
We partner with biotech companies across proteomics, genomics, and metabolomics to deliver exactly what you need, whether that's rapid prototyping or production-grade data processing software. From cloud-based lab automation solutions to scalable data analytics pipelines, we tailor our approach to fit your stage and requirements.
Technologies we know and love
We select the best tools for each challenge. Our experience spans bioinformatics frameworks, cloud platforms, and modern development stacks.
Software Development for Complex Biotech Challenges
Biotech software demands reliability, precision, and scalability. Whether you're building data processing engines for multi-omics analyses, instrument control systems, or secure data management platforms with full audit trails, our custom development approach gives you the flexibility and control your project needs.
Purpose-Built for Your Science
Every biotech organization has unique instruments, data formats, and analytical workflows. Your software should reflect that, not force your team to adapt to generic tools. The result is a system that handles your edge cases, enforces data integrity at every layer, and evolves as your research does.
Built for Biotech Stacks
Python-based bioinformatics pipelines, Nextflow workflows, Streamlit applications, React visualization dashboards. Our experience spans the full biotech technology landscape. That means integrating with the tools your scientists already rely on and connecting your instruments, processing, and analysis into a cohesive platform.
Code Your Team Can Own
Research platforms outlive any single project engagement. Clean, well-documented code with consistent standards means your internal team or future developers can maintain and extend it confidently. Every system includes architecture documentation, automated tests, and clear conventions for long-term ownership.
Custom Development
For biotech teams building data processing, lab automation, or instrument software.
- Discovery
- 2 week agile sprints
- Full source code ownership
- CI/CD automation
- Cloud infrastructure and DevOps
- Agile project management
- UI/UX design
- System architecture and documentation
- Dedicated biotech-experienced developer
- Unit testing and QA
Staff Augmentation and Project Teams
Need additional developers who understand biotech? Our staff augmentation services embed experienced developers into your team. We have specialist who can help you immediate, so your team can focus on building, without the overhead of recruiting software specialists in a competitive market.
Biotech Expertise
Our developers have deep experience in biotech projects. They understand data processing pipelines, lab automation, and the unique challenges of building software for scientific research. You're getting specialists, not generalists.
Seamless Integration
Our embedded developers work as extensions of your team, attending standups, collaborating on pull requests, and following your existing processes. There's no learning curve on how you operate. We adapt to you.
No Hiring Overhead
You avoid months of hiring timelines and the risk of making a bad hire. Our developers are available on-demand and can provide expert guidance from the start.
Adhoc Support
For teams that need expert guidance on-demand without a long-term commitment
- Hourly billing
- Software development
- Code reviews and consultation
- Architecture and design advice
- Technical troubleshooting and debugging
Building Your Internal Team
As your company grows, transitioning to an internal development team becomes essential. We help you every step of the way, from recruiting the right biotech-savvy developers to knowledge transfer and process documentation. You'll have a capable team that's ready to own the codebase.
Biotech Development Playbook
What does your sprint process look like when the requirements changes mid-sprint? We've built that playbook. You get a complete operational framework covering sprint cadences, automated testing, and deployment procedures, all calibrated for the realities of scientific software.
Domain Knowledge Transfer
Why was the data pipeline built with that particular normalization step? Why do we use multivariate analysis in this case? Generic handoff docs never capture this. Our knowledge transfer covers the scientific rationale behind every architectural decision so your team can maintain and extend the system with confidence.
Recruit Biotech Developers
Finding developers who understand proteomics workflows or genomics pipelines is hard. We help you recruit candidates with the right mix of software engineering skill and scientific domain knowledge, then screen them against the technical requirements of your specific needs.
Team Builder
Transition to an in-house biotech development team with confidence.
- Development process playbook
- Domain and codebase knowledge transfer
- Architecture and system documentation
- CI/CD and infrastructure runbook
- Biotech developer recruitment
- Technical screening and candidate evaluation
Frequently asked questions
Biotech projects come with unique requirements around IP, data security, and scientific complexity. Here are answers to the questions we hear most often.
Is there a free consultation available?
Absolutely. We offer a no-obligation discovery call where we discuss your scientific objectives, current technical challenges, and whether our expertise is the right fit. Whether you need a sounding board on architecture decisions or want to explore how to approach a new data pipeline, the initial conversation is always free.
How long does a typical biotech project take?
It depends on the scope and scientific complexity. A focused data processing pipeline or lab automation can reach production in 2-3 months. Larger platforms involving multiple data modalities, comprehensive security requirements, or complex visualization typically run 4-6 months for an initial production release, with ongoing iteration as your research needs evolve.
Do I retain ownership of the code and IP?
Yes. You own all custom code, algorithms, and intellectual property we develop for you. This is particularly important in biotech where proprietary processing methods and analytical workflows can be core competitive assets. We only incorporate open-source components with permissive commercial licenses.
How do you handle security and data integrity for sensitive research data?
Security and data integrity are foundational to how we build. We have a dedicated security specialist on our team, and every system we deliver includes role-based access, encryption at rest and in transit with the ability to have comprehensive audit trails and logging.