Eight things we hold to, written plainly enough that you can hold us to them.
Values pages are usually decoration. These are the specific commitments that shape how we scope work, what we refuse, and what we tell clients when the news is bad.
If we fall short of one of these on your project, say so — to your analyst or directly to [email protected].
Our Values
Scientific honesty
We report what the data supports and no more. If a study is underpowered, confounded or compromised, we say so during the work — not after the invoice. A result that will not survive review is worth nothing to the client and less than nothing to us.
Reproducible by default
Every deliverable ships with code, pinned software versions and documentation. If a reviewer asks you to rerun the analysis two years from now, you can. Work that only one person can reproduce is not finished work.
Capacity stays here
We would rather teach a team to run the analysis than sell them the same analysis twice. Every partnership includes training. Working ourselves out of a contract is a success, not a loss.
Confidentiality without exception
Client data is never shared between projects, never reused for method development, and never used to train models without written permission. Access is named, scoped and logged. This is not negotiable at any price.
Context is not optional
African populations are the most genetically diverse and the least represented in reference databases. A pipeline tuned elsewhere quietly gets the wrong answer here. Knowing that, and correcting for it, is the work.
Clarity over jargon
The report is written for the person who asked the research question, not for another bioinformatician. If a client cannot explain their own results afterwards, we have not finished the job.
Someone owns it
One named analyst per project, reachable in your working hours, answering within a working day. Not a ticket queue, not a rotating pool, not silence for three weeks followed by a PDF.
Revenue, unapologetically
We are a company, not a grant. Charging properly is what lets us pay African analysts competitively, fund the scholarship programme, and still be here in five years. Sustainability is a precondition for the mission, not a distraction from it.
Why These Eight
They are constraints, not aspirations
Each of these costs us something. Scientific honesty means telling a client their study is underpowered before we bill for a full analysis. Capacity building means training clients to stop needing us. Confidentiality without exception means turning down work that would be commercially attractive.
That is the point. A value that costs nothing to hold is a slogan.
Where they came from
Our consultants have spent years inside African research institutions, and these are drawn from what went wrong there: analyses nobody could reproduce, results that did not survive review, expertise that left with a departing collaborator, and pipelines that quietly misclassified African samples because they were built somewhere else.
Holding us to them
Every project agreement includes the operational commitments that follow from these: a written analysis plan before work starts, a named analyst, a reply within one working day, code and documentation at handover, and honest reporting of limitations. Those are contractual, not cultural. See how it works.
Tell us about your data and we will scope it — free, within one working day.
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Bioinformatics, biostatistics and data science support for research teams across Africa.