About AId Centric
AI for critical work
AId Centric builds hybrid AI systems that combine language interfaces, deterministic computation, secure architecture, and careful workflow design, for environments where outputs have to be trusted.
Team
The people behind AId Centric
A small team building AI for healthcare and operations. We share news and events on LinkedIn and Instagram.
Co-founder and CEO
Builds products at the intersection of AI, healthcare, and manufacturing, with a focus on practical, reliable systems for high-friction problems.
- Double major in Electrical and Electronics Engineering and Computer Engineering, Koç University, on scholarship, ranked 4th in the department
- Third-generation representative at Serdar Plastik, bringing startup speed to an established manufacturer
- Built the mobile word game Word Clash, which reached the App Store Top 40 in the Word category
- Panellist at the Software Industrialisation Summit, BTK, December 2025
Co-founder and CEO
Physician and computer engineer, focused on making statistics, machine learning, and medical data workflows usable inside hospitals and clinical research teams.
- MD and B.Sc. in Computer Engineering, Koç University
- Deep learning research on EEG-based epilepsy localisation and computer vision in forensic medicine
- Co-author of a COVID-19 meta-analysis with 90+ citations, referenced in Türkiye’s Ministry of Health COVID-19 treatment protocol
- Works with the CEO Office of Koç Healthcare / American Hospital on strategic projects; formerly Portfolio Manager at Koç University Investment Group
Product Development Lead
Has led product development at AId Centric since February 2025.
- Double major in Mathematics and Computer Science
- Previously Junior Software Engineer at Tradeware Teknoloji
- Internships at Peak Games, working on Toy Blast, and in R&D at NanoMagnetics Instruments
- Research assistant at Koç University on “IMF Decides, Machine Learns: An AI Approach to IOs”
Full-stack Engineer
Software engineer working on web platforms, data governance, and business intelligence.
- Front End Lead at AId Centric, April to September 2025 (Next.js, Docker)
- Full Stack Engineer, Data Governance and Business Intelligence, at American Hospital
- Previously Software Developer at QberX
- Software engineering internship at Yapı Kredi Teknoloji, and experience at KKB Kredi Kayıt Bürosu
Chief Medical Officer and AI Specialist
Physician working on bringing data science and AI into clinical workflows.
- MD, Koç University
- Artificial Intelligence Specialist at American Hospital, working on clinical data systems and AI-driven healthcare solutions
- Works with the CEO Office of Koç Healthcare / American Hospital
- AI and medical imaging research at Northwestern University Feinberg School of Medicine (Bagci Lab)
- Acting internship and clinical observership in Colorectal and Endoluminal Surgery at Cleveland Clinic
From our LinkedIn
AId Centric was accepted into the NVIDIA Inception Program, which gives access to advanced AI infrastructure, technical support, and a global ecosystem.
Our purpose
Hospitals, research groups, and manufacturers hold years of clinical, operational, and ERP data behind interfaces their experts can’t easily use. Clinicians spend a large share of their day on documentation. General-purpose AI assistants are not built for regulated, high-stakes decisions: they rarely know an institution’s structure, and their answers are hard to validate.
Our long-term aim is to be a trusted AI layer that helps hospitals, research institutions, manufacturers, and enterprises turn complex data into decisions, predictions, and measurable operational value, without asking anyone to give up judgement or control.
Principles
Our principles
- 01
Deterministic where it matters
Statistics, queries, and scores are computed in code. Language models guide, organise, and explain, but they do not produce the numbers.
- 02
Inside the institution’s boundary
Local or controlled deployment, on premises or in a private cloud, so institutions keep control of their data, identities, and execution environment.
- 03
Permission-aware from end to end
Identity and role context travel with every request, so people see only the data they are allowed to see.
- 04
Outputs a person can verify
Every draft keeps its sources and its trail. The person responsible can check it quickly and sign, correct, or reject it.
Working together
How we work with you
For hospitals, research groups, manufacturers, holdings, and enterprise teams who want to turn data into action.
- 01
Align
Agree outcomes, data boundaries, and compliance requirements.
- 02
Map
Map workflows, integrations, and success metrics before building.
- 03
Build
Ship in iterations, with your team in the loop.
- 04
Go live
Harden security, train users, and go live in your environment.
- 05
Improve
Monitor performance, tune models, and extend as needs change.
What we publish
We don’t publish customer names, testimonials, certifications, or outcome figures unless we can back them with permission and evidence. When we cite research, it is external research, and we say so. Product demonstrations on this site use synthetic data.
If you want to know what a product does today, as opposed to what it is designed to do, ask us. We will show you on your own workflow.