Sector
Technology & FinTech
On-prem LLMs for regulated FinTech in the GCC.
Principal Data Scientist at Rasan IT. Developing local LLM execution paradigms and computer vision workflows for GCC financial institutions whose regulatory posture precludes public-cloud AI. Winner of a national FinTech competition in Saudi Arabia.
Client
Organisation
Rasan IT (KSA)
Engagement Type
AI & Data Science Consultancy
At a glance
On-prem
Execution environment
KSA
Primary regulatory context
1st
National FinTech competition
LLM + CV
Capability stack
Context
GCC financial regulators have strong views about where customer data can run. Off-the-shelf SaaS LLMs are often not an option. The work at Rasan focused on building local — and later edge — execution paths for language and vision models, so FinTech partners could actually deploy AI without crossing regulatory lines.
Capabilities
- Local LLM execution (Ollama, quantised open models)
- On-prem computer vision pipelines for KYC and document AI
- NLP workflows tailored for Arabic and GCC-region language
- Private-data RAG architectures
- Productionisation with proper MLOps on customer infrastructure
- Strategic advice on regulatory possture around AI
Next step