What We Actually Do
We don't sell software products. We partner with you to reduce uncertainty, build scalable systems, and design infrastructure that evolves with your science.
In-Silico Validation & Hypothesis Testing
Design computational experiments to test biological ideas. Simulate and model biological systems. Perform large-scale sequence and data analysis. Prioritize experimental paths before wet-lab work.
- Reduce uncertainty early
- Avoid unnecessary experiments
- Narrow the search space
Bioinformatics Pipelines
Design reproducible workflows that scale with real datasets. Build pipelines that survive real usage, not just demos. Implement versioning, logging, and traceability.
- Production-scale analysis
- Reproducible workflows
- Built to last
Lab IT & Scientific Infrastructure
Design cloud environments for labs. Set up compute, storage, access control, and security. Ensure infrastructure matches scientific workflows and reduces friction for researchers.
- Cloud-native architecture
- Scalable compute
- Cost optimization
Machine Learning (Applied, Not Performative)
Apply ML to prioritization, prediction, and filtering. Integrate models into real pipelines. Focus on interpretability and decision support, not complexity for its own sake.
- Meaningful predictions
- Interpretable results
- Production integration
Tools & Platforms We Work With
