Choosing an Ankara AI company is different from picking a generic software vendor. You need proof of LLM/RAG delivery, data governance, model ownership and KVKK compliance. This guide gives you a practical checklist for finding the right Ankara AI firm.

⚡ In this guide: Selection criteria, quote comparison, red flags, on-premise/KVKK, reference checks and our company comparison.

10 Criteria for Choosing an AI Company in Ankara

  1. LLM & RAG experience — GPT, Claude, local models; live project references
  2. KVKK & on-premise — can data stay inside your organization?
  3. Integration skills — CRM, ERP, WhatsApp, e-government APIs
  4. QA & testing — output validation, hallucination control
  5. Written scope & SLA — model updates, maintenance, source code transfer
  6. Sector experience — public sector, finance, healthcare, manufacturing
  7. Price transparency — are token/API costs included?
  8. Multi-channel support — web, WhatsApp, voice, internal panels
  9. GEO & SEO awareness — AI search visibility (optional plus)
  10. Local accessibility — face-to-face discovery and support in Ankara

How to Compare Quotes Fairly

Ask every vendor for the same scope: user count, channels (web/WhatsApp), integration list, on-premise requirements, training data volume and monthly token budget. See our LLM cost guide.

Red Flags

Ankara Ecosystem Advantage

Ankara has strong demand for KVKK-compliant on-premise AI in public sector, defense, healthcare and legal. Ozturksoft is a Çankaya-based AI company delivering LLM, RAG, MCP and OCR projects.

Related: KVKK-compliant AI · public sector AI · software company selection

FAQ

What is the most important criterion when choosing an Ankara AI company?

Live LLM/RAG references, KVKK compliance and integration capability. Price alone is not enough.

Is on-premise AI mandatory?

Usually yes for public sector, finance and defense. SMEs can start with cloud-based solutions.

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