AI Practice — Capability 02

Generative AI and Custom LLMs

Domain-specific language models trained on your data, deployed in your infrastructure.

Off-the-shelf LLMs are trained on the internet. Your clients, your domain, your terminology, your compliance requirements are not on the internet. We fine-tune and deploy custom language models on your proprietary data — on-premise, air-gapped, and fully under your control. No data leaves your environment.

Not a feature. A production capability.

01

Fine-tuned on your domain

General models do not understand insurance underwriting terminology, government procurement language, or Arabic legal frameworks. We fine-tune models on your actual data so they reason correctly in your context.

02

Air-gapped deployment

For clients where data sovereignty is non-negotiable. The entire model stack — training, inference, serving — runs inside your infrastructure. No calls to OpenAI, Anthropic, or any external API.

03

Arabic and multilingual capability

We have deployed multilingual AI systems across the GCC and Africa. Arabic language support is not an afterthought — it is built into the model architecture from the start.

Real projects. Real outcomes.

Hashinclude Internal
Anas AI — Founder AI Assistant
2025
Custom LLM deployment trained on Hashinclude's 13-year project portfolio and domain knowledge. Powers the first-conversation AI on hashinclu.de.
Govt. of Senegal and Somalia
National COVID Vaccine Management Platform
2021
Multilingual AI deployment across two national governments. Three languages. Built and deployed during an active pandemic.
PoliSync
Insurance Intelligence Layer
2025
Domain-specific language understanding for insurance terminology. Hybrid approach: LLM for understanding, deterministic rules for decisions.

Typical use cases and engagements.

Sovereign AI deployment for government ministries
Domain-specific models for regulated industries
Arabic and multilingual enterprise AI
Private LLM infrastructure with no external API dependency
Custom model fine-tuning on proprietary datasets

Ready to discuss Generative AI and Custom LLMs?

We listen first. No pitch. Tell us what you are building or what problem you are trying to solve.

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