KKB Kredi Kayıt Bürosu Tech Stack

Credit bureau and AI infrastructure platform in Turkish financial services

Financial Services İstanbul, İstanbul 501–1,000 employees Founded 1995 Privately Held

KKB is Turkey's primary credit information bureau, serving 180+ financial institutions, individuals, and businesses since 1995. The tech stack reveals a sharp pivot toward AI infrastructure: heavy Python/PyTorch/LangChain tooling with vector databases (Qdrant, Weaviate, Pinecone, Faiss), RAG pipelines, and agentic AI applications dominate active projects. This contrasts sharply with legacy data-center infrastructure work (SCADA, cabling), signaling an organization in mid-modernization—building AI capabilities while maintaining mission-critical credit-reporting systems.

Tech Stack 28 technologies

Core StackPython PyTorch NumPy Weaviate Pinecone FastAPI Docker RAG GitHub Copilot Cursor MLflow Kubeflow TensorFlow AutoCAD Transformers Qdrant Chroma Faiss LanceDB LangGraph CrewAI AutoGen Pydantic AI Git Claude BMS SCADA Microsoft Office

What KKB Kredi Kayıt Bürosu Is Building

◆Challenges

Building security infrastructure from scratch
Updating existing systems
Dataset challenges
Vector database design
Model deployment mlops
Improving cyber threat response capabilities

▲Active Projects

Rag pipelines
Agentic ai applications
End-to-end ai applications and scalable api services
Ai roadmap
Retrieval pipelines
Vector db schema
New structured cabling projects
Mounting/dismounting data center infrastructure

Hiring Activity

Accelerating10 roles · 5 in 30d

Department

Engineering

Security

Finance

Ops

Product

Seniority

Senior

Mid

Junior

Company intelligence

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About KKB Kredi Kayıt Bürosu

KKB (Kredi Kayıt Bürosu) operates as Turkey's Risk Center, the sole information service provider for financial data sharing across Turkish banking and finance. Founded in 1995 with 9 bank partners, the bureau has grown to serve over 180 member institutions including banks, consumer finance companies, leasing firms, factoring operations, and insurers. In 2013, KKB expanded beyond institutional clients by launching an electronic reporting system, opening services to individuals and non-financial businesses. The organization operates in the 501–1,000 employee range and is based in İstanbul.

Headquartersİstanbul, İstanbul

Company Size501–1,000 employees

Founded1995

Hiring MarketsTurkey

Frequently Asked Questions

What AI technologies is KKB building with?

KKB is actively building with Python, PyTorch, and Transformers. Active projects include RAG pipelines, vector database schema design, and agentic AI applications using frameworks like LangGraph and CrewAI. Vector databases in use include Qdrant, Weaviate, Pinecone, Faiss, and LanceDB.

What are KKB's main technical challenges?

KKB faces vector database design, model deployment/MLOps, dataset challenges, and building security infrastructure from scratch. The organization is also updating existing systems while scaling agentic AI applications and end-to-end AI services.