Scientific rigour at high speed.

aixelerate is a trusted AI platform for biological data analysis.

Designed for research teams in hospitals, academia, diagnostics, pharma, cosmetics, agritech and food to turn their own data into traceable, reproducible results and reports, in plain language and without code.

  • Leiden University Medical Center
  • LUCID Research
  • Università San Raffaele Roma
  • Cluster Scienze della Vita Friuli Venezia Giulia
  • Polo Tecnologico Alto Adriatico
  • Eurospital
  • Partner 24 Ore – Business Owner 2026
ABOUT US

Give the time back to science.

Much of research time goes into the work around the science: cleaning data, re-running analyses, rebuilding figures and reports.
We take that on, so researchers can focus on critical thinking, new hypotheses and discovery.

Mission

Accelerate research by combining human expertise with AI.

We are an ally for research teams. We take on the repetitive work and support researchers on the rest: the right method, clear assumptions, every step on record. Repetition automated, expertise amplified, to make science more robust.

Vision

An AI that serves researchers, where speed and scientific rigour go together.

Transparent, traceable, reproducible and explainable results are the foundation of reliable evidence, evidence that advances research and, in the end, reaches patients. We want that standard to hold on every project, site and partner.

Built for

the scientists who deal with data and deadlines.

Scientists, clinicians and quality managers — the people who run the studies, validate the methods and sign the reports.

Clinician in a white coat holding a stethoscope Hospitals and clinical research organisations

From study data to an answer clinicians can trust.

A clinical study moves from protocol to enrolment, data lock and results, and every step has to be documented. We shorten the path from database lock to results: data from different sources cleaned and harmonised, validated analyses, each result traceable to the source data and ready for publication. Less time on spreadsheets, more time for patients and the next clinical question.

Multichannel pipette drawing red reagent next to a 96-well plate Diagnostic, biotech and pharma R&D

From method development to regulatory submission.

A new diagnostic test or drug moves from method development to validation and regulatory submission, and every result has to be defensible. We run your validation studies on version-locked procedures in your own environment, and every report records how it was produced. Less time rebuilding documentation, a faster path to submission.

Gloved hand adjusting a laboratory microscope Academic research

Stronger papers, published sooner.

We give research groups a way to use AI responsibly: methods validated by data scientists, every step recorded, every figure traceable back to the raw file. The result is work a reviewer can verify, a group can repeat and a student can learn from, with the full record exportable as a supplement.

Research partners working on laptops around a shared table European research consortia

Partner in European research consortia.

We lead or support work packages on data management, harmonisation across centres, analysis and technical reporting. Every workflow follows FAIR principles, so data from every partner stays findable, comparable and reusable long after the project ends. Our own projects INDAGO and SAPIENS are funded by Regione Friuli Venezia Giulia under EU programmes.

One platform for the entire analysis workflow

from raw data to traceable, reproducible, explainable results.

Clean the data and get it ready for the analysis.

Upload your data. Every column is profiled: type, unique and null rates, range. Cleaning steps run only after you approve them, and the result becomes a checkpoint. The original file is never overwritten.

EV
Biomarkers_Vaccine_group1 raw
1.14 MB · 150 columns · 1,428 rows · modified 20 Sept 2026
Column profiles Filter columns… 150 columns
CohortNA 0%
≡ string0% unique
GenevaKilifiLambarénéUSA
SubjectNA 0%
≡ string23% unique
001-040001-041001-042001-043001-045+324 more
Study_groupNA 0%
≡ string0% unique
HD1HD2HD3IDLD
VaccinatedNA 0%
≡ string0% unique
Aixel
Biomarkers_vaccine · 2 datasets in context
Proposed actions Reject Approve
Preprocessing Biomarkers_Vaccine_group1.csv
  1. Add timepoint column derived from day group2 uses a string timepoint column (e.g. 'd0', 'd1') instead of a numeric day column; adding this column to group1 aligns the two datasets.
    • timepoint
  2. Map numeric day values to timepoint strings Converts the day integers (0, 1, 3, 7, 14, 28) to the string format used in group2 (d0, d1, d3, d7, d14, d28).
    • timepoint: missing→missing
    • timepoint: 0→d0
    • timepoint: 1→d1
    • timepoint: 3→d3
    • timepoint: 7→d7
    • timepoint: 14→d14
    • timepoint: 28→d28
  3. Populate timepoint from day column Fills the new timepoint column by prepending 'd' to each value in the day column, matching the format used in group2.
Ask about this project…
  • +30%Capacity increaseCalculated on clients’ estimates
  • 3× ROIIn 6 monthsEvaluated on the average European researcher cost
  • −83%Pre-processing timeFully automated, all managed in natural language
  • −91%Report creation timeOnce set up, report generation takes almost no time
  • −47%Analysis execution timeAny validated analysis runs in seconds

Our edge

What the platform guarantees.

AI that runs inside your own environment: safe, auditable, ready for the questions a reviewer or an auditor will ask.

Days become minutes

Ask in natural language, no code. Preparation, analysis and reporting in one place: no copying between tools, no transcription errors. Days of work done in an afternoon.

Analysis validated

Analyses built by domain experts and tested against reference datasets. Each one is version-locked for results 100% reproducible over time and consistent across sites and operators.

Human in control

The AI suggests, the scientist decides. Every step waits for approval and is logged as it runs.

Safe AI

Segregated environment hosted in EU. Data and outputs fully owned by customers, never shared or used to train AI models.

COMPLIANCE

Built on European rules for data, AI and cybersecurity.

The platform complies with the EU regulations that govern personal data, artificial intelligence and digital products, and follows the international standards for managing information security and AI.

Compliant
GDPRRegulation (EU) 2016/679Personal data protection
AI ActRegulation (EU) 2024/1689Artificial intelligence
Data ActRegulation (EU) 2023/2854Access to and use of data
Cyber Resilience ActRegulation (EU) 2024/2847Cybersecurity of digital products
Aligned
ISO/IEC 27001International standardInformation security management
ISO/IEC 42001International standardAI management system