We take pride in doing things right — and we’re transparent about what that means.

Our team follows rigorous standards in analysis, documentation, and communication. We deliver what we promise, and we don’t overpromise what we can’t guarantee.

There are two types of projects we routinely undertake: what we call engineering-type and research-type projects.

Engineering-type projects involve a well-defined set of tasks — such as converting formats, reprocessing raw data, or applying standard pipelines — where correctness is clearly measurable. For these, we guarantee that the job will be done correctly, and we stand behind that fully.

Research-type projects, on the other hand, are exploratory or hypothesis-driven. They may involve trial and error, and the outcome depends on factors outside anyone’s control — such as sample quality, statistical signal strength, or biological variability. For these, we cannot promise that the result will validate a specific hypothesis, but we guarantee that our approach will be scientifically sound and professionally executed.

This distinction helps researchers set expectations and avoid frustration. We don’t treat bioinformatics as a black box — and we always explain what’s being done, why, and what limitations may apply.

Our Lead Bioinformaticians have years of experience in both industry and academia, and many have served as PIs themselves. They understand how to ask the right questions, interpret the results critically, and avoid common pitfalls.

You can read more about their backgrounds on this page, or explore how their expertise leads to cost-efficiency here.

For publication-focused projects, we also provide support during peer review — including reanalysis if reviewers raise valid points within scope. This is part of our ongoing commitment to helping you succeed, not just finish.

✅ What “doing it right” means to us:

- Delivering correct results for engineering-type projects
- Applying valid, up-to-date methods for research-type projects
- Explaining assumptions, caveats, and limitations clearly
- Providing support during reviews and revisions