Research depth. Engineering discipline.
We bridge the gap between advanced AI research and real-world implementation. The work below is our proof of capability — each item is labelled by its actual status.
Platforms and applied research.
Industrial AI & SCADA — Naviga SCADA
A real-time monitoring and decision-support system at Eti Maden Kırka Boron Operations (Sarıkaya open pit): six PLCs read every second, automatic classification of grouting behaviour across eight classes, trend analysis and step-by-step operator guidance. Our team delivered software, PLC programming, panels and field wiring end to end.
- Real-time industrial data pipelines
- Decision-support engine for operators
- Vendor-independent PLC integration
ChatTEDU
An AI-powered institutional assistant and knowledge platform delivering conversational access to institutional information. It reached approximately 5,000 users and is protected by a dual-LLM security architecture.
- LLM application engineering
- Institutional knowledge access
- AI security in production
DataMentor
An AI-driven data intelligence platform, developed through a TÜBİTAK 1507 R&D project and deployed.
- Data intelligence
- TÜBİTAK-funded R&D to deployment
Advanced RAG & LLM Engineering
Research and engineering in enterprise retrieval architectures, LLM evaluation, self-reflective agents, AI security and specialized NLP.
- Retrieval architecture benchmarking
- RAG vs. fine-tuning trade-offs
- LLM defense architectures
Financial & Regulatory NLP
Language models applied to central bank communications, financial texts and regulatory documents — the foundation for financial and regulatory document intelligence.
- Financial text analytics
- Regulatory document intelligence
Enterprise case concepts
Institutional Knowledge Intelligence, Intelligent Regulatory Document Processing and Enterprise AI Automation — illustrated on the Solutions page.
See solution concepts →What it takes to put AI into production.
A demo answers one question well. A production system answers thousands — correctly, securely and at a predictable cost. This is the engineering we put between the two.
Evaluated before launch
Test sets built from your own documents and cases, with accuracy, hallucination and failure modes measured before any user sees the system.
Grounded in your data
Benchmarked retrieval and the right model strategy — RAG, fine-tuning or both — so answers come from your sources, with citations.
Integrated, not bolted on
Connected to existing systems, identity and approval chains, so AI works inside real processes rather than beside them.
Secured and access-controlled
Role-based access, protection against prompt injection and data leakage, and deployment where your policies require it — including on-premises.
Monitored in production
Quality, latency, usage and cost tracked continuously, with alerts when behaviour drifts.
Operated and improved
Versioned models and prompts, controlled releases, rollback, and user feedback loops that improve the system over time.
Language technology tuned for Turkish and for financial, legal and regulatory text is part of every deployment where it matters.
Bring research-grade rigor to your AI program.
Evaluation, benchmarking and architecture reviews for institutions that need to know their AI works — and why.