SciTransfer
Organization

TYRIS SOFTWARE SL

Spanish AI software SME building cloud-based machine learning systems for digital pathology and explainable manufacturing intelligence.

Technology SMEdigitalESSMENo active H2020 projects
H2020 projects
4
As coordinator
1
Total EC funding
€301K
Unique partners
41
What they do

Their core work

Tyris Software is a Valencia-based AI and software company specializing in machine learning applications for medical imaging and manufacturing. They build cloud-based AI systems for digital pathology — helping pathologists analyze tissue images with computer-aided diagnosis tools. More recently, they have expanded into explainable AI for manufacturing, developing decision support systems that make AI reasoning transparent to human operators.

Core expertise

What they specialise in

AI for digital pathologyprimary
1 project

CLARIFY project (their largest funded effort at EUR 250,905) focused on cloud AI for pathology including image processing, retrieval, and computer-aided diagnosis.

Explainable AI and decision supportsecondary
2 projects

XMANAI and TEAMING.AI both address AI transparency in manufacturing — explainable AI, graph deep learning, and human-AI teaming.

Cloud computing and software platformsprimary
2 projects

Cloud infrastructure underpins both CLARIFY (cloud AI for pathology) and POC (AI-driven chatbot for business data), indicating core platform-building capability.

Graph-based machine learningemerging
1 project

XMANAI introduced graph machine learning and graph deep learning methods, a newer technical direction for the company.

AI chatbots for business datasecondary
1 project

POC project (PieceOfCake) developed an AI-driven chatbot to manage complex business data, the only project where Tyris served as coordinator.

Evolution & trajectory

How they've shifted over time

Early focus
Medical AI and cloud pathology
Recent focus
Explainable AI for manufacturing

Tyris Software entered H2020 in 2018 with an SME Instrument project on AI chatbots, then pivoted heavily into medical AI through the CLARIFY project, which became their flagship effort in cloud-based digital pathology with machine learning and blockchain integration. From 2020 onward, they shifted toward explainable AI and manufacturing applications (XMANAI, TEAMING.AI), moving from healthcare image analysis to industrial decision support with advanced graph-based ML methods.

Tyris is moving from domain-specific AI (pathology) toward cross-industry explainable AI and human-AI collaboration platforms, positioning themselves as specialists in making AI systems interpretable and trustworthy.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

Tyris primarily operates as a participant in larger consortia rather than leading them — they coordinated only 1 of 4 projects (the smallest, SME Instrument phase). With 41 unique partners across 13 countries, they are comfortable working in broad European consortia. Their pattern suggests a specialist software provider that contributes AI and cloud components to research-driven projects led by universities or larger organizations.

Tyris has built a broad European network of 41 unique partners spanning 13 countries through just 4 projects, indicating involvement in large multi-partner consortia. Their network is geographically diverse rather than concentrated in any particular region.

Why partner with them

What sets them apart

Tyris occupies an unusual niche as an SME that bridges medical imaging AI and manufacturing AI — two domains rarely combined in one company. Their move into explainable AI gives them a differentiating angle: they don't just build ML models, they build models that can justify their decisions to human users. For consortium builders, they offer a compact software team that can deliver cloud-based AI components with an emphasis on interpretability.

Notable projects

Highlights from their portfolio

  • CLARIFY
    Largest funded project (EUR 250,905) combining cloud computing, digital pathology, and blockchain — a rare intersection of health AI and distributed trust.
  • XMANAI
    Positioned Tyris in the explainable AI space for manufacturing, introducing graph-based deep learning methods that mark a clear technical evolution.
  • POC
    Only project where Tyris served as coordinator, demonstrating entrepreneurial initiative with their AI chatbot concept for business data management.
Cross-sector capabilities
Health / medical imagingManufacturing / Industry 4.0Business process automationData management and analytics
Analysis note: With only 4 projects and no website available for verification, the profile is built entirely from H2020 project data. Funding data is missing for 2 of 4 projects (XMANAI, TEAMING.AI), which may understate their actual EC funding. The keyword data is rich enough to trace a clear evolution, but the small project count means expertise claims should be treated as indicative rather than definitive.