Research & Partnerships
Advancing health AI through research and collaboration
Beyond our core solutions, we are actively exploring adjacent research areas in ophthalmology AI and metabolic health. We believe the most meaningful advances come from collaboration between technology and clinical expertise.
Partnership Value
What partners gain from working with us
For Clinical Partners
- AI tools at no cost during validation periods
- Structured clinical reporting on your patient cohort
- Early access to new modules as they ship
- Your data stays on-premises with zero egress, always
For Academic Partners
- Co-authorship on publications using shared datasets
- Access to production-level AI models for research
- Joint grant application support (EuroHPC, Horizon)
- Student and researcher placement opportunities
How We Collaborate
Partnership models built on trust and shared goals
We approach research partnerships with a commitment to clinical evidence, data integrity, and mutual value creation.
Clinical Data Partnerships
We work with hospital groups and clinical teams who want to collaboratively advance ophthalmology and metabolic health AI through structured data partnerships.
Typically starts with a structured NDA and a scoped pilot agreement.
Academic Research Collaboration
We partner with universities and research institutions to co-develop and validate AI methodologies grounded in clinical evidence and scientific rigor.
We welcome co-authorship proposals and joint grant applications.
Co-Development Projects
We engage in joint development efforts where our AI capabilities complement a partner's clinical expertise, patient access, or domain-specific knowledge.
For teams with domain expertise and patient access seeking an AI partner.
Our Validation Philosophy
Evidence before claims
We don't deploy AI that hasn't been tested on real patient data. Here's how we approach validation.
Real Data First
Models trained and tested on real patient cohorts, not only benchmark datasets.
172,000 patients trained. 10,000 real-world tested.
Clinical Context, Not Just Metrics
We validate against clinical workflow fit, not just AUROC scores. Does it help the clinician? Does it integrate without friction?
Decision Support, Always
Every output is a decision-support tool. All findings require independent clinical review. No autonomous diagnosis, by design.
Our models were trained on 172,000 patients and tested on 10,000 real-world cases, numbers we intend to grow through structured clinical partnerships.
Current Affiliations
Built from within Turkish health-tech ecosystem
TÜBİTAK BiGG 1812
AId Core Solutions was founded through the TÜBİTAK BiGG 1812 program, Turkey's leading national pre-seed support program for deep-tech startups. TÜBİTAK-backed project.
Istanbul Technical University
All co-founders are ITU alumni. The team draws on ITU's academic advisor network and active student researchers, maintaining a live connection between research and product development.
Haydarpaşa Training & Research Hospital
Ethics board approval granted. Simultaneous clinical validation underway in Internal Medicine and Ophthalmology clinics, with access to real multimodal patient data across both departments.
Interested in a research partnership?
We are always open to conversations with clinical researchers, academic institutions, and innovation teams.