aalianix.

AI × HEALTH × BIOINFORMATICS

Complex science.
Intelligent solutions.
Human impact.

Connecting artificial intelligence with the science of life. Consultancy, specialist training, and tools to move your work forward.

Discover what we do
Built around your scientific questions.Explore Alianix
Scientific understanding. Practical AI.
HEALTHLIFE SCIENCESBIOINFORMATICS

01 / WHAT WE DO

Expertise that meets you
where you are.

From the first question to a working solution,
find the right support for your next step.

01

Consultancy

Turn a scientific challenge into a clear AI strategy and a practical plan.

  • AI strategy & feasibility
  • Bioinformatics & data analysis
  • Model development & evaluation
Explore consultancy +

Support for defining the question, assessing data readiness, selecting methods, and interpreting results. Shape the engagement around your research priorities and the decisions you need to make.

02

Specialist training

Give your team the understanding and confidence to apply AI thoughtfully.

  • AI & machine learning foundations
  • Applied bioinformatics
  • Hands-on, tailored workshops
Explore training +

Training shaped around your team's experience, scientific domain, and learning goals. Topics can span reproducible analysis, machine learning workflows, and the critical evaluation of AI outputs.

03

Tools & applications

Bring ideas to life with software built around your scientific workflow.

  • Custom AI applications
  • Reproducible analysis pipelines
  • Research dashboards & interfaces
Explore development +

Purpose-built development for your use case, from early prototypes to usable research tools. Connect analysis, models, and clear interfaces so your team can work with complex information.

02 / OUR APPROACH

Science first.
Purpose always.

Useful AI begins with the right question. We connect scientific context with technical work, keeping your goals at the centre.

01

Understand the challenge

Start with your scientific question, your data, and what a useful outcome looks like.

02

Choose the right approach

Match methods and tools to the problem, with attention to clarity, reproducibility, and limitations.

03

Make it useful

Translate the work into clear insights, practical skills, or applications your team can use.

03 / CONNECTING DISCIPLINES

At the intersection of
data and discovery.

Bringing computational thinking to the complexity of health and biology.

HEALTH

AI with context.

Explore health data, evaluate predictive methods, and develop research workflows grounded in the question at hand.

BIOINFORMATICS

Biology, made clearer.

Connect biological datasets with computational analysis to support interpretation and scientific investigation.

APPLIED AI

Ideas into practice.

Bring machine learning and AI into purposeful applications, with understandable outputs and considered evaluation.