Science-grade rigour
Every workflow and output is grounded in published evidence with explicit citations. We treat research outputs the way scientists treat their own papers defensible, reproducible, and traceable.
About Veriomics
Built by a microbiologist who codes
The problem with modern research isn't the data, it's the methodology behind it.
Veriomics turns published literature into defensible methodology, so every research team can ground their work in evidence, not guesswork.
Mission
Why Veriomics exists
Modern biology generates more data than any single team can process. Microbiome sequencing, multi-omics integration, immunoinformatics, predictive modelling, the science is faster than the tooling that supports it. Small and mid-sized research teams are particularly underserved, because the specialist bioinformatics infrastructure available to large institutions remains out of reach for most labs.
Veriomics is built to close that gap. We integrate fragmented omics data, automate the routine analytical work, and ground every output in the published literature. The goal is simple: give every research team the analytical capability of a well-funded bioinformatics group, while keeping methodology, interpretation, and judgement firmly with the scientist.
We don't replace bioinformaticians. We close the methodology gap.
Founder
Bilal Shafiq
Microbiologist · Biomedical Data Scientist
I started out in microbiology. Years at the bench, running experiments, working with microbial systems and the messy reality of laboratory data. The science was solid. The data was there. But across every project I worked on, the same pattern kept appearing: brilliant biology, broken tooling. Manual workflows. Heterogeneous data. Findings disconnected from the published literature that should have grounded them in the first place.
That frustrated me. And it stuck with me. Not because researchers weren't capable but because the methodology bridge between biology and the analytical work around it just wasn't there. I started building it myself. First in Python, then in machine learning, then in production analytical pipelines. The more I built, the clearer it became: this gap shouldn't exist in 2026, and someone with both feet in biology and code had to close it.
I built Veriomics for that exact reason. It's designed to augment researchers, not replace them, handling the methodology work that should be grounded in published evidence, while methodology, interpretation, and judgement stay with the scientist.
Microbiology trained
Bench experience · Microbial systems · Laboratory data
Peer-reviewed publications
Ageing biology · Immunoinformatics · Disease mechanism modelling
Production experience
Python · Machine Learning · Analytical pipelines
Built for compliance
Quality systems thinking from day one — for regulated research environments
Our approach
How Veriomics thinks
Researcher - first design
Veriomics augments specialists, it does not replace them. The platform is designed so that researchers retain control of methodology and interpretation, while the platform handles the repeatable literature work and analytical execution in between.
Audit - ready by design
Data governance, audit trails, and reproducibility are not afterthoughts. The platform is designed around quality systems thinking, anonymised data handling, and the regulatory expectations of academic, biotech, and pharma environments.
Team
Founder-led today. Growing carefully.
Veriomics is currently founder-led, by design.
The early phase prioritises product depth and validated pilots over premature scaling, we'll hire selectively as pilots progress.
ML Engineer
Building and scaling the ML systems behind workflow planning, methodology consensus extraction, and output verification.
Bioinformatics Specialist
Ensuring scientific robustness, multi-omics integration, and academic partnerships.
Research Partnerships Lead
Building academic and biotech partnerships, validating workflows in real research environments.
Get in touch
Whether you're a researcher, biotech team, or potential partner - let's talk.