MEDICAL AI · TRY IT
See the applications at work: morning report, biopsies, staining, stock. On computer, tablet and phone.
Demo with synthetic data · no patient data · interface in Greek
01Daily report
Every evening, artificial intelligence gathers the data from the systems and departments, checks it and drafts a short report: what happened yesterday, what is pending, and what needs attention today.
ExampleAt 07:30 the director receives one page by email: samples per department, cultures that are running late, reagents that are running low and a reminder about an analyser’s maintenance.
For each department
Needs attention
The report suggests; the person in charge decides.
02How we work
With your laboratory, medical and administrative teams, we map how samples, results, requests and consumables move today.
Collecting data, record-keeping, tracking stock and reagents, reminders and alerts.
A clear picture every day from every part of the laboratory and the hospital, prepared automatically.
Departments and the systems you already use work together, so everyone has the information they need.
ExampleWe start with one process in one department, for example tracking the reagents of the microbiology laboratory. When it works well, we extend it to the rest.
03Information for everyone
Every role sees what it needs for its work, without phone calls and without searching through several systems.
ExampleAs soon as an urgent result is issued, the treating doctor is notified according to the hospital’s protocol, without a phone call from the laboratory.
04People at the centre
People
AIArtificial intelligence
ExampleThe shift summary is prepared from data that has already been entered. The person in charge reads it, corrects it if needed and approves it with one click.
05From data to decisions
ExampleReagent consumption shows when stock will run out. The order suggestion reaches procurement before it runs out, not after.
06In the background
In front
AIIn the background
ExampleThe aim is that staff do not have to learn yet another program: the AI works on top of the systems, forms and email already in use.
07Everything connected
Less searching, fewer reports by hand, more time for care.
To whoever needs it
Illustrative diagram. Each application is designed around the organisation’s own processes and data protection rules.
ExampleWhen the stores record a delivery of reagents, the laboratory sees it at once and management sees the cost, without a single email being sent.
Our systems with AI
The artificial intelligence we design for each laboratory works around the systems it already uses: records, stock, instructions, maintenance and reports. The equipment does its work; the routine around it is done automatically, so every member of the team spends less time on paperwork.
It does not work only with our systems. Our AI adapts to the instruments, equipment and software you already have, from any manufacturer, through the files, reports and connections they provide.
Our systems and those you already have
+Other manufacturersLess work for
SpinAX & ProbeAX EvolutionTissue homogenisation inside a closed single-use tube, for culture and molecular diagnostics.
With our AI
For: Laboratory, theatres, biopathologists
BACT-R PlusAnaerobic, microaerophilic and CO₂ atmospheres. Cycle records on SD card and export to Excel; optional barcode traceability.
With our AI
For: Microbiology, quality
DX-300Automated staining: Gram, Ziehl-Neelsen, Kinyoun, fluorescence; 1 to 20 slides per cycle; reagent level monitoring.
With our AI
For: Microbiology, haematology, procurement
DensitomAX & NaCl tubesDigital McFarland reading, 0.00–6.0. NaCl tubes 0.45% for identification and 0.85% for Kirby-Bauer.
With our AI
For: Microbiology
StorAXStool sample transport in three versions: Native, Cary-Blair and SAF, chosen according to the test.
With our AI
For: Clinics, laboratory
iColo-RectalImmunochemical detection of blood in stool (FIT); the result is read on the cassette, without an analyser.
With our AI
For: Screening programmes, doctors
ITL BioMedicalBlood culture collection and safe subculture from blood culture bottles, without a metal needle.
With our AI
For: Laboratory, wards
Examples of applications we design together with each laboratory. The artificial intelligence works around the systems: records, stock, instructions and reports. It does not change how they work, their instructions for use or their certification, and it does not interpret clinical results.
Artificial intelligence
In every laboratory and hospital, valuable time is lost on tasks that repeat every day: records, reports, looking up information and keeping each department informed. We study your processes and apply artificial intelligence and automation, so that this time goes back to diagnosis, treatment and patient care.
Time-and-motion studies. For nurses: share of nursing practice time; other work = medication, care coordination, assessment.
The evidence
Studies published in medical journals show where time is lost today, and what changes when automation and artificial intelligence are introduced.
of electronic records and desk work for every 1 hour a doctor spends with patients, plus 1 to 2 hours more every evening.
Sinsky et al. · Annals of Internal Medicine · 2016of nursing practice time goes to documentation. Patient care activities: 19.3%.
Hendrich et al. · The Permanente Journal · 2008of laboratory errors happen before the analysis, from the test request to the preparation of the sample. Another 18.5–47% happen after it.
Plebani · Clinical Chemistry and Laboratory Medicine · 2006Time to a negative result before (2017) and after (2019) total laboratory automation, in a 1,920-bed hospital in Geneva.
practising nurses per 1,000 population in Greece. OECD average: 9.2.
OECD · Health at a Glance 2025: Greececountries in the WHO European Region already have at least 40% of their doctors aged 55 or older.
WHO Europe · 2022of documentation per 8 hours of scheduled patients, across 8,581 clinicians in five health systems.
Rotenstein et al. · JAMA · 2026(about 22 minutes) writing notes, in a randomised trial.
Afshar et al. · NEJM AI · 2025of clinicians reporting burnout, 84 days after starting (survey).
You et al. · JAMA Network Open · 2025The time saved per day is modest. The largest difference is in staff burnout.
Most studies come from the USA and Europe. Results in each organisation depend on its own processes, which is why we always start by studying them.
Safely
Tell us which task takes up the most time in your department. We study it with you and show you how it can become simpler.
