Custom AI Model Training on Your Own Data, Kept Private
General-purpose models are capable, but they do not know your contracts, product catalogue, internal policies or the vocabulary of your sector. We adapt models to your data, through fine-tuning, retrieval or a combination, so answers reflect how your organisation actually works.
This service is for CTOs and data leaders who need accuracy they can measure and data handling they can defend. We begin with an evaluation set built from your own questions, so improvement is tested rather than assumed, and we deploy in an environment that keeps your data under your control.
What you get
Use-case assessment and data readiness review with a clear recommendation on the approach
Evaluation set and scoring method built from your real questions
Trained or retrieval-augmented model deployed in your chosen environment
Documentation of data sources, training steps, limits and known failure cases
Handover session and a plan for monitoring and retraining
When you need this
- A legal or compliance team wants answers grounded in its own policies and past opinions, in Arabic and English.
- An industrial or logistics company needs a model that understands its technical terminology and part numbers.
- A financial institution needs classification and summarisation that stays inside its own cloud environment.
- A support organisation wants a model that answers in its own tone and cites the internal document it used.
How we work
Assess fit and data
We review your data, the task and the risks, and tell you whether fine-tuning, retrieval or a simpler approach is the right one.
Prepare and evaluate
Data is cleaned and access-controlled. We build an evaluation set so results can be measured against a baseline.
Train and deploy
We adapt the model, compare it with the baseline and deploy it in your cloud or a dedicated environment with access controls.
Hand over and monitor
Your team receives documentation and monitoring.
Frequently asked questions
Is our data used to train public models?
No. Your data is used only for your own model or retrieval index, in an environment you control. We agree hosting region, access rights and retention in writing, and design the work around PDPL, GDPR and any sector rules that apply.
Do we need fine-tuning, or is retrieval enough?
Often retrieval over your documents is enough and easier to keep current. Fine-tuning helps when you need consistent style, specialised terminology or structured outputs. We recommend the lighter option first and test it before proposing more.
What drives the cost of custom model work?
The main drivers are the volume and quality of your data, the languages involved, the evaluation effort, the hosting environment and whether compliance review is needed. A short assessment gives a clear scope before you commit.
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