Research-Led Foundations
About TrustAI
TrustAI combines research depth with practical delivery to help organizations build transparent, accountable, and reliable AI systems across sectors.
Our Vision
To build a research-grounded AI governance company that supports trustworthy deployment across sectors.
Our Mission
- Enable transparent and accountable AI decisions
- Strengthen governance and risk oversight
- Support compliance readiness with practical frameworks
- Advance responsible adoption across AI systems
People Behind The Work
Team
Meet the multidisciplinary team behind TrustAI, combining academic rigor with practical expertise in AI governance and trustworthy artificial intelligence.
Prof. Dr. Sureyya Ozogur-Akyuz
Founder and CEO of TrustAI, driving the development of explainable, reliable, and compliant AI solutions for high-risk systems.
Qazaleh Afrough
Designing and building intelligent, reliable, and user-friendly web and software solutions.
Faramarz Mehrnami
Designing and building intelligent, reliable, and robust backend and software solutions.
Dilara Karaduman
Researching algorithmic fairness, AI governance, and the ethical dimensions of high-risk AI systems with a background in psychology and human-centered AI.
Nisa Yegin
An artificial intelligence engineering student focusing on AI safety, AI governance, and responsible AI systems.
Arya Sokhangoo
AI Engineering student with hands-on experience in machine learning and LLM systems, focusing on explainability, model reliability, and responsible AI.
AI should be trustworthy, measurable, accountable, and aligned with organizational responsibility.
TrustAI helps make that practical across machine learning models, LLM applications, and AI agents.