A bachelor, an MSc student, a PhD candidate, a postdoc, a professor. They walk in tired of toy datasets, find real-world projects with structured information and clear methods, and walk out with a co-authored publication, a capstone project or a defended thesis.
Talk to the AIR Companion to get curated matches, or browse the Project Plaza by method, domain, dataset. Both surface One-Pagers with legal pre-cleared scope.
Research collaboration, MSc thesis, BSc thesis, or classroom exercise. One click at the tier that matches your stage. Legal framework resolved upstream. The Domain Researcher reviews and accepts — you're matched.
The collaboration unfolds in the Project Room — a shared workspace with downloadable audit trail. Output: a co-authored paper, a methodology, a thesis.
Projects ready to implement — with clear and structured information in One-Pagers. Browse your areas of interest (CV, ML, NLP, etc.) and collaborate to create new methodologies and publish papers, under European AI-Act.
The projects are created by scientific researchers, curated and structured by us into One-Pagers, ready for you. All cleared upstream: EU AI Act risk class, GDPR posture. Browse your interest and apply.
Scope, dataset, method direction, risk classification, citations, expected output — all visible before you click. Apply at your tier: research collaboration, MSc thesis, BSc thesis, or classroom.
Project Room as your collaboration surface with the researcher. Audit trail downloadable. EU alignment inherited from upstream. The path from match to publication and new methods stays clear.
“MSc students, PhD candidates, professors and researchers in AI deserve to work with real-world data, not toy or sketchy datasets that never reach publication. <brand/> AI Science Hub delivers projects created by researchers and curated into structured One-Pagers — scope, methods, risks pre-defined — with a Project Room where collaboration leads to publishable papers and new methods, under EU data governance.”
Every card is a Technical One-Pager. Scope, datasets, EU AI Act tier — all visible before you click apply. No more “the data will be ready soon.”
The researcher already approved methods, data and tier portfolio. You apply to a defined collaboration.
EU AI Act tier and GDPR posture resolved upstream. Clean legal slate from day one.
The project becomes a shared publication, credited to both Domain Researcher and AI Researcher.
The output isn't a chat log — it's a publishable One-Pager Project. Created with the Domain Researcher, ready for the AI Researcher.
A dataset of 32,000 landmarks over images of Erysimum flowers, manually annotated in 32 morphometric points around the calyx. The proposed method replaces a 3-day manual annotation pipeline with a 5-minute on-device CNN, enabling field-side morphometric work for ecologists.
No personal data · GDPR-by-design. Downloadable audit trail.
Trust is not a section in our terms of service. It is the foundation every conversation, every match, every export sits on.
Your data does not leave the European Union — at rest, in motion, or in transit through model inference.
All LLM and embedding providers operate under no-train, no-retain agreements. Disclosed on the first turn of every intake conversation.
Scheria itself is classified as limited-risk under Article 50. Each One-Pager carries its own classification with article-level citations queried in real time from EUR-Lex.
SSO-ready for university IDP integration. Per-project audit log, downloadable, ready for institutional DPA review.
Open-access journal of completed research. SEO-indexed. Where the Project Plaza ends and the publication record begins.
FEATURE
