Your DNADoesn't Change.Prescribing Should.

Clinical decision support powered by pharmacogenomics and AI

The problem

1 in 12 hospital admissions are related to adverse drug reactions

ADR-related admissions 1

of medication-related admissions predictable or preventable 2

estimated hospitalisations/year in Lithuania 13

The solution

One Profile. A Lifetime of Smarter Prescribing.

Once a pharmacogenomic profile is generated, it can guide medication selection, dosing, and safety decisions whenever a relevant drug is prescribed.

  1. 01

    Sequence Once

    A one-time sample is sequenced to identify the clinically actionable genetic variants that influence drug response. No repeat testing — the same data supports prescribing decisions for years to come.

    Cheek swab DNA test sample collection
  2. 02

    Interpret With Bioinformatics

    An AI-assisted analysis layer processes the raw genomic data, flags clinically relevant variants, and structures them into standardized, prescribing-ready pharmacogenomic insights.

    DNA sequence analysis with AI-assisted bioinformatics
  3. 03

    Generate a Pharmacogenomic Passport

    The result is a lifelong profile that consolidates each patient's medication-relevant genetics into a single, portable record clinicians can reference at the point of care.

    Pharmacogenomic passport with lifelong medication-relevant genetic profile
  4. 04

    Integrate With Any Platform

    Profiles surface across healthcare settings and systems — supporting consistent, evidence-based prescribing at both the individual and population level.

    GenoLink
    eSveikata

How could this look in practice?

Impact

The measurable impact of genetics-aware prescribing.

Why now

Limited Window

Europe is funding the build-out of sovereign health and biotech infrastructure across the current 2021–2027 cycle. The same money is available to every EU country — and whoever moves first sets the standard for the whole region. Lithuania has both the funding channels and the talent to do it first. The question isn't whether it gets built, but who and when.

Horizon Europe

EU funding matched to what we build

A matched EU Research & Innovation Action under Cluster 1 Health. Direct contribution covering 100% of eligible costs — and the call scope reads almost line-for-line like the GenoLink platform.

Full call details on the EU portal
Horizon Europe

€10M

Horizon Europe — EU grant per project

Inovacijų agentūra

€100K

Inovacijų agentūra — Lithuanian innovation funding

Eurostars 3 / Eureka

€300K

Eurostars 3 / Eureka — cross-border R&D

Our goals

Make genetics the backbone of every prescription — and grow from there into the medicine of the future.

We're building a system that uses genetic testing to help doctors make precise decisions — which drug, at what dose, and in what combination is safe for each patient. This reduces ineffective treatment, adverse reactions, and dosing errors — and, for the healthcare system, the cost of medications and the load on hospitals.

Stage 1 · Core2027–2028
AI recommendation platform

AI recommendation platform

Analyzes the patient's genetic data and, at the moment of prescribing, helps the doctor choose the right drug and dose — and flags dangerous drug combinations.

Stage 22028–2029
In-house laboratory

In-house laboratory

A full cycle of genetic testing in Lithuania — from sample collection to interpretation and recommendations. Quality control at every step, fast turnaround, and sovereign data.

Stage 32029–2030
New fields and a scientific base

New fields and a scientific base

Building on a working system and accumulated data — expansion into new areas of medicine, new tests, and joint research with universities and clinics.

Why we do this

For patients

  • Treatment matched to the individual genome
  • The right drug and dose from the first prescription
  • Fewer adverse reactions and ineffective treatments

For doctors

  • A ready recommendation at the moment of prescribing
  • No manual interpretation of genetics
  • Lower risk, greater confidence in the decision

For the healthcare system

  • Lower costs for complications and therapy selection
  • Shorter hospital waiting times
  • Citizens' data kept under control in Lithuania

Our team

Why us?

Young team combining expertise in Medicine, Biochemistry, and Bioinformatics, with hands-on experience in personalized medicine at AskBio and Bayer Pharmaceuticals. Our background ranges from VC-backed startups to leading teams and companies with multimillion-euro annual revenues. We believe the time for personalized healthcare is now, and with your support, we can make it more effective, efficient, and accessible for everyone.

Tomas Maksimovič

MSc Bioinformatics

Alan Rynkevič

Medical Student

Nikita Rancev

Serial entrepreneur
Precision Prescribing
Medication Safety
Pharmacogenomics
Personalised Medicine
Polypharmacy Intelligence
Clinical Decision Support
Population Health Analytics
Healthcare Efficiency
Treatment Optimization
Real-Time Alerts
PGx Interpretation
Outcome Analytics
Precision Prescribing
Medication Safety
Pharmacogenomics
Personalised Medicine
Polypharmacy Intelligence
Clinical Decision Support
Population Health Analytics
Healthcare Efficiency
Treatment Optimization
Real-Time Alerts
PGx Interpretation
Outcome Analytics
Precision Prescribing
Medication Safety
Pharmacogenomics
Personalised Medicine
Polypharmacy Intelligence
Clinical Decision Support
Population Health Analytics
Healthcare Efficiency
Treatment Optimization
Real-Time Alerts
PGx Interpretation
Outcome Analytics