ISU RAIL
İstinye University Reliable AI Agents Laboratory
Agents you can rely on
We solve the 95% failure rate of AI agents in production through deterministic, verifiable architectures for high-stakes industries.
of AI agents fail in production
require human oversight
access sensitive data
Lab Launch
The AI Reliability Crisis
The AI industry is shifting from chatbots to autonomous agents—but 95% of agent deployments fail in production.
Why? Standard generative AI is probabilistic by nature, creating unacceptable risks in healthcare, finance, and law where errors have real consequences.
Meanwhile:
- 69% of production agents access confidential data
- Security policies increasingly prohibit external API calls
- EU AI Act demands transparency that black-box models cannot provide
The industry doesn't need faster models. It needs reliable ones.
Traditional AI
Unpredictable outputs
ISU RAIL Approach
Structured, verifiable
The Reliability Stack
Our methodology for building AI agents that actually work
MDAP Engine
Massively Decomposed Agentic Processes
Complex tasks decomposed into thousands of atomic, auditable steps. Parallel micro-agents with voting mechanisms ensure consensus-based reliability.
GraphRAG Memory
Knowledge Graph Grounding
Deterministic retrieval through structured knowledge graphs. Every output traceable to verified sources—eliminating hallucinations at the architectural level.
Circuit Breaker
LLM-as-Judge Validation
AI judges trained on regulatory frameworks evaluate all outputs before delivery. Graceful autonomy degradation ensures human oversight when needed.
Pharmacy Entrepreneurship Platform
Our first real-world deployment: an AI-powered mentorship platform bridging pharmacy education and entrepreneurial practice, developed in collaboration with İstinye University Faculty of Pharmacy.
Proving the Reliability Stack in a high-stakes healthcare context.
AI Education for the Next Era
Three cutting-edge courses launching Spring 2026
Knowledge Graphs
From graph theory fundamentals to industrial-scale knowledge graph deployment with Neo4j and beyond.
Retrieval Augmented Generation
Building hallucination-resistant AI systems—from vector databases to GraphRAG architectures.
Agentic Coding
Software development with AI agents: Cursor, Windsurf, and building your own local coding assistants.
Our Team
Leadership
Asst. Prof. Yiğit Bekir Kaya
Director
ISU Faculty of Engineering; Deputy Director, ISU AI Research Center
Asst. Prof. Alper Öner
Deputy Director
ISU Faculty of Engineering; Head of AI, Beko Corporate
Assoc. Prof. Emir Seyyedabbasi
Senior Scientific Advisor
ISU Faculty of Engineering; ISU Computer Engineering Department Chair
Asst. Prof. Merve Memişoğlu
Pharmacy Pilot Lead
ISU Faculty of Pharmacy; Deputy Dean; Director, ISU GEROMER
Research Fellows
İdil Çelik
MSc
Adilkhan Sagnay
MSc
Rabia Yıldız
BSc
Yağız Asker
BSc
Our Ecosystem
Publications
Research publications launching with the lab in 2026.
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Get in Touch
Interested in collaboration? Let's talk.
Location
Hamidiye, Kağıthane/İstanbul
34413
For partnership inquiries, research collaboration, or general questions:
Send us an emailWe typically respond within 48 hours.