SciTransfer
Organization

MATICAL INNOVATION SL

Madrid SME building AI-powered radiomics and imaging biomarker tools for personalised cancer diagnosis and clinical deployment.

Technology SMEhealthESSME
H2020 projects
2
As coordinator
0
Total EC funding
€667K
Unique partners
28
What they do

Their core work

Matical Innovation is a Madrid-based technology SME that develops AI-driven software tools for cancer diagnosis and prognosis, working at the intersection of medical imaging and machine learning. Their core work involves building and deploying radiomics pipelines, predictive models, and imaging biomarker platforms that extract clinically actionable information from MRI and CT scans. In both of their H2020 projects they contributed as a specialist technology partner, bringing software development and AI tooling capability to large clinical-research consortia. Their practical focus spans the full pipeline from raw imaging data to regulatory-compliant, market-ready AI tools for oncology.

Core expertise

What they specialise in

Medical imaging AI and radiomicsprimary
2 projects

Both PRIMAGE and CHAIMELEON involve imaging biomarker extraction, radiomics analysis, and AI-based interpretation of MRI and CT data.

Oncology decision-support softwareprimary
2 projects

PRIMAGE targets personalised cancer diagnosis and prognosis; CHAIMELEON covers cancer management across lung, breast, colorectal and prostate cancers.

Predictive in-silico modellingsecondary
1 project

PRIMAGE explicitly applies multiscale in-silico modelling for cancer prediction, with neuroblastoma and DIPG as primary disease models.

Regulatory-compliant AI deploymentemerging
1 project

CHAIMELEON specifically targets lab-to-market transition of AI tools with regulatory compliance as a named project keyword.

Cancer imaging data repositoriesemerging
1 project

CHAIMELEON's keyword set includes 'repository', suggesting Matical contributes to building or integrating federated imaging data infrastructures.

Evolution & trajectory

How they've shifted over time

Early focus
Paediatric cancer in-silico modelling
Recent focus
Clinical AI tools for oncology

Matical's earliest H2020 work centred on rare and paediatric cancers — neuroblastoma and DIPG — using computational modelling and in-silico simulation to personalise diagnosis. Their second project marks a clear expansion toward common adult cancers (lung, breast, colorectal, prostate) and shifts emphasis from modelling to applied AI tooling, radiomics pipelines, and market-readiness. The trajectory shows a company moving from research-grade simulation toward deployable, regulatory-compliant clinical AI products.

Matical is moving up the technology readiness scale — from computational research on rare cancers toward regulated, market-ready AI products for mainstream oncology indications, making them an increasingly viable partner for MedTech commercialisation projects.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European11 countries collaborated

Matical participates exclusively as a consortium partner and has never led a project, suggesting they operate as a specialist technology contributor rather than a project driver. Their two projects both sit within large RIA consortia (PRIMAGE and CHAIMELEON are well-known multi-partner initiatives), indicating comfort working inside complex, multi-national teams. With 28 unique partners across 11 countries from just two projects, their network density is relatively high, pointing to broad exposure rather than a closed circle of repeat collaborators.

Despite only two projects, Matical has built connections with 28 distinct partner organisations spread across 11 countries, which is a strong network density for a two-project SME. Their European reach spans clinical, academic, and industrial partners typical of Horizon health consortia.

Why partner with them

What sets them apart

Matical sits in a rare niche: a small private company with direct hands-on experience in two of Europe's most prominent AI-for-oncology H2020 projects, giving them credibility that most SMEs of this size cannot match. Their combination of deep imaging AI expertise and regulatory-pathway awareness (from CHAIMELEON's market-transition focus) makes them valuable to consortia that need both technical execution and a route to clinical deployment. For a consortium builder, they bring SME agility and specialist knowledge without the overhead of a large corporate partner.

Notable projects

Highlights from their portfolio

  • PRIMAGE
    The largest of their two projects by EC funding (EUR 380,756) and the one that established their credentials in predictive in-silico cancer modelling, specifically for rare paediatric cancers neuroblastoma and DIPG.
  • CHAIMELEON
    A high-profile Horizon project explicitly targeting AI commercialisation in oncology, spanning five cancer types and introducing regulatory compliance as a core objective — directly relevant to MedTech and digital health investors.
Cross-sector capabilities
Digital health and clinical decision supportAI and machine learning for medical dataRegulatory affairs for software as a medical device (SaMD)
Analysis note: Profile is based on two projects only. The keyword and timeline data are consistent and tell a coherent story, but Matical's specific technical role within each consortium (e.g., whether they built core algorithms or integrated third-party tools) is not derivable from CORDIS metadata alone. The regulatory and commercialisation angle from CHAIMELEON is inferred from project keywords, not confirmed deliverable data.