CLARIFY project (their largest funded effort at EUR 250,905) focused on cloud AI for pathology including image processing, retrieval, and computer-aided diagnosis.
TYRIS SOFTWARE SL
Spanish AI software SME building cloud-based machine learning systems for digital pathology and explainable manufacturing intelligence.
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.
What they specialise in
XMANAI and TEAMING.AI both address AI transparency in manufacturing — explainable AI, graph deep learning, and human-AI teaming.
Cloud infrastructure underpins both CLARIFY (cloud AI for pathology) and POC (AI-driven chatbot for business data), indicating core platform-building capability.
XMANAI introduced graph machine learning and graph deep learning methods, a newer technical direction for the company.
POC project (PieceOfCake) developed an AI-driven chatbot to manage complex business data, the only project where Tyris served as coordinator.
How they've shifted over time
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.
How they like to work
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.
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.
Highlights from their portfolio
- CLARIFYLargest funded project (EUR 250,905) combining cloud computing, digital pathology, and blockchain — a rare intersection of health AI and distributed trust.
- XMANAIPositioned Tyris in the explainable AI space for manufacturing, introducing graph-based deep learning methods that mark a clear technical evolution.
- POCOnly project where Tyris served as coordinator, demonstrating entrepreneurial initiative with their AI chatbot concept for business data management.