End-to-end artificial intelligence, from research to production.

RAG architectures, domain adaptation and fine-tuning, distillation into smaller models, Turkish evaluation sets and on-premise deployment.

Object detection and tracking, video understanding, vision-language models, document intelligence and OCR, real-time inference on edge devices.

Tool use, multi-step planning and multi-agent orchestration; MCP integration, human-in-the-loop workflows and safety guardrails.

Evaluation infrastructure, observability, hallucination and regression tracking, continuous retraining.

Decision policies that adapt to changing conditions, reward design, training in simulation and safe transfer to the field.

Robustness against adversarial attacks, prompt injection defence, learning without sharing data, and model confidentiality.