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Burak Multiomics

Burak Multiomics

Prevent Health Risks Before They Escalate

Burak Multiomics uses multi-omics velocity analysis to trace disease earlier and enable preventive interventions.

Composite metabolic index

Anonymised profile · 22 weeks

Early warning
0.2 0.4 0.6 0.8 PERSONAL BASELINE ± RCV CLINICAL THRESHOLD BURAK FLAGS · WK −8 single snapshot: in range -20w -16w -12w -8w -4w SYMPTOMS
Before drift Velocity above RCV Baseline band

Our Story

Three out of five people in the GCC are carrying a biological debt inside their bodies right now — and they don't know it.

Then, one day, someone in the prime of their life collapses, or doesn't wake up. We call it fate. It wasn't fate. It was debt — quietly compounding for years, invisible until the body could no longer carry it.

This is the gap our founder identified after 19 years working inside healthcare systems — across the NHS and Hamad Medical Corporation, Qatar. Not from the outside looking in, but from inside the system itself: real conversations with doctors, real pain points, watching the same silent pattern repeat across patients who looked perfectly fine right up until they weren't.

Burak Multiomics exists to make that debt visible before it calls itself in — turning fragmented health data into the kind of compounding intelligence that catches the pattern years before the crisis.

We're proud to be a QDB Accelerator Cohort 2026 Boot Camp winner, and part of the ongoing QDB Accelerator Program — backing that's helping us take this from a gap seen on the ground to something hospitals can pilot today.

How the scores are made

BURAK uses straightforward, rules-based mathematics
The same kind of logic a senior clinician applies when reading a set of results: if this marker is at this level, it means this, and when you combine it with that marker, the picture tells you something specific.

We chose this approach because it is honest, traceable, and cost-effective at this stage — every score we produce can be explained in plain terms, with the exact numbers that drove it. We know that more advanced AI and machine learning models exist, and we intend to use them as we move into specific disease areas like diabetes, liver disease, and cancer screening.

But before we invest in that level of computational complexity, we wanted to first prove that the core idea works — that a well-designed, clinically grounded system can already give patients and doctors genuinely useful insight into what is happening inside the body. That is exactly what we are doing now

Burak Multiomics Analyzes

We connect what the gut is already saying, the story in the blood, and the signal of inflammation, so you see the full picture before it becomes a crisis.

Gut

Microbiome balance, including the signals that show the gut barrier is under strain.

Blood

Glucose, lipids, and related markers, read against a personal baseline rather than one printout.

Inflammation

How fast inflammatory markers rise, not only whether they are high on a single day.

Why Burak Multiomics Works

Disease develops gradually through measurable biological changes. The platform detects those signals early enough to change the decision.

Multi-omics integration

Gut microbiome, blood biomarkers, and inflammatory markers are read as one picture.

Velocity-based analysis

Instead of isolated readings, Burak analyzes how quickly markers change over time.

Early predictive detection

Risk signals can surface weeks before symptoms, in time for clinical and lifestyle intervention.

Ecosystem and partners

  • QDB Accelerator Program

    Winner of QDB pre accelerator bootcamp 2026

    Website
  • GCC Eureka

    Semifinalist in GCC Eureka, a flagship innovation program that brings together startups, corporates, and government entities across the Gulf.

    Website

Frequently asked questions

01 What is Burak Multiomics?

Burak Multiomics reads gut, blood, and inflammation together, then watches how those markers change over time, so metabolic risk can be seen before a crisis.

02 What problem does it solve?

A single lab snapshot can look normal while risk compounds quietly. Burak looks for that drift early enough for a clinic to act.

03 Who is it built for?

Clinics, hospitals, and research groups that want an explainable pilot, with every score traced back to the numbers that produced it.

04 How are the scores made?

The same kind of logic a clinician uses: if this marker is at this level, and it is moving with that marker, the picture means something specific.

05 Is this an AI model?

Not at this stage. The current engine is rules-based and explainable. More advanced models are planned for specific diseases only after this core is proven.

Request a pilot

Tell us about the institution, the cohort, and the decision the pilot needs to answer.