Training-data audit and baseline evaluation
Define the inputs, constraints and acceptance criteria with your team.
Model fine-tuning
Evaluate fine-tuning for consistent style, classification or structured outputs when prompting alone does not meet the requirement.
For teams in the UAE, Saudi Arabia and across the GCC.
From requirement to implementation
Define the inputs, constraints and acceptance criteria with your team.
Implement and test against the agreed workflow and representative data.
Make performance visible and prepare your team to operate the solution.
Designed around your environment
We scope the systems, data access, languages and deployment requirements before choosing models or infrastructure. Arabic and English quality should be tested on your actual terminology and user journeys.
Explore our Middle East approach →Final scope, delivery milestones and ongoing costs are agreed after discovery.
Before you start
Use retrieval for changing knowledge and source references. Consider fine-tuning for learned behaviour or output patterns. We evaluate the simplest approach first.
Connect an AI assistant to approved documents so employees and customers can find answers with source references.
Explore service →Prepare documents and business records for retrieval, evaluation and model adaptation with explicit ownership and access rules.
Explore service →Build semantic and hybrid search foundations for knowledge assistants, document discovery and product search.
Explore service →Your next step
Share the use case, your current systems and the outcome you want. We can use that conversation to define a practical first project.