CentraQL3 min read
CentraQL ComplianceProfile: Moving Regulation Into Runtime
Compliance is not a policy document — it is code enforced at runtime. How CentraQL's ComplianceProfile and EgressGuard pull regulation into the runtime.
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Posts tagged LLM
CentraQL
CentraQL3 min read
CentraQL LoRA Fine-Tune: Adapting to Banking Language in 4 Weeks
A generic 7B model often confuses 'tahsis' with 'allocation' instead of 'underwriting'. The practical plan to teach a model the bank's vocabulary with LoRA.
CentraQL3 min read
The CentraQL AI BI Copilot Pipeline: 11 Stages of Auditable SQL
From a natural-language question to an answer the regulator can read: every stage of the CentraQL Copilot pipeline, what gets logged, and why hallucination risk is zero.
Technical Deep Dive3 min read
From Natural Language to Verified SQL: The Role of the Semantic Layer
BI Copilots succeed not because of the LLM brand but because of a mature semantic layer. How to build a real natural-language analytics architecture.
AI & Machine Learning3 min read
On-Prem LLM Strategy for Banks: Ollama, vLLM and TEI
In 2026 the LLM debate inside banks has shifted from cloud to on-prem. A practical comparison of three engines, GPU budget and compliance.
CentraQL3 min read
What is CentraQL — and What Does It Do?
CentraQL is not a rule engine. It is a Data Trust Platform plus a banking-compliant, natural-language AI BI Copilot. What problem does it solve, and how?
Industry News2 min read
Türkiye’s 2026 KVKK Update on AI: A Practical Compliance Roadmap
In March 2026 the KVKK Board issued comprehensive guidance on AI applications. Alignment with the EU AI Act, explicit consent, automated decision-making and a practical LLM checklist.
AI & Machine Learning2 min read
AI Agents in Enterprise Workflows: Five Practical Scenarios
By 2026 AI agents have moved from demo to production. Five practical scenarios — from support triage to financial reconciliation — and the architecture decisions that matter.
AI & Machine Learning2 min read
RAG Architecture: Grounding LLMs in Enterprise Knowledge
Retrieval Augmented Generation grounds the LLM in the organisation's own knowledge base, reducing hallucination and giving every answer a traceable source. The three layers of a well-built RAG system.
AI & Machine Learning2 min read
3 Ways to Integrate LLMs into Enterprise Processes
Large language models moved from demo to production in a year. Three practical patterns for integrating them into enterprise systems, with the risk mitigations that matter.
Industry News2 min read
2026 Data Platform Trends: Takeaways from Gartner's Report
Five trends distilled from Gartner's 2026 Data & Analytics Magic Quadrant and Hype Cycle — what enterprise data strategy should plan for.