How do you reduce hallucinations?

We ground answers in retrieved sources, return citations, constrain the model to known context, and run retrieval evals so accuracy is measured, not assumed.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//AI Automation × Custom GPTs & RAG Systems × GCC

Custom GPTs & RAG Systems in GCC

Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. Delivered to GCC teams on your calendar.

Retrieval-augmented systems and custom GPTs grounded in your own documents and data — accurate, cited, and private. GCC enterprises run ambitious modernization and transformation programs on tight timelines. We bring senior engineering depth, Arabic-ready interfaces, and a commitment to ship — not to present.

01What's broken without us

Data-residency and sector rules differ by GCC country and even by free zone, so a system that clears review in one jurisdiction can fail it in the next — we scope that per engagement rather than assume one regime covers the region. Arabic interfaces are routinely treated as a mirrored layout rather than a build decision that touches validation, number formats, and the calendar. That is the environment custom gpts & rag systems has to be built into, not around.

02Our approach — the Forge Method, applied

01Blueprint the knowledge sources, access rules, and accuracy bar.
02Prototype retrieval quality on real questions before scaling.
03Forge ingestion pipelines, vector stores, and grounded generation with citations.
04Harden with evals, access control, and a refresh pipeline.

//Capabilities

Custom GPT configuration & deployment
RAG knowledge-base architecture
Document ingestion pipelines
Semantic & hybrid search
AI over your internal data
Vector DB setup (Pinecone, Weaviate)
Fine-tuning & prompt engineering
Multi-source knowledge retrieval
Arabic RTL interfaces engineered from the layout up, not mirrored English
Data residency scoped per jurisdiction at Blueprint, before build
Dual Hijri/Gregorian calendar handling
Regional payment-rail integration, scoped to the country of operation
Milestone-based governance and reporting for transformation mandates

//Outcomes

What you can expect

RTL-native

not a mirrored English build

Jurisdiction-scoped

data residency, named up front

Milestone-based

reporting for transformation programs

//FAQ

Questions, answered straight

Yes. Aligned to GST / AST working hours. Enterprise modernization and AI for the Gulf — Arabic-ready, fast-moving, and built for ambitious transformation programs.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard