Internal Model Assurance

Assurance for the models you build — not just the ones you buy

Fine-tuned models, RAG assistants, and proprietary systems carry risks no vendor benchmark will catch. We evaluate internal Arabic–English AI under your data constraints, and deliver the evidence your governance teams need.

Book an Intro Call → All Services

Public benchmarks don't cover your system

The moment a model is fine-tuned, connected to your documents, or wrapped in your prompts, published benchmarks stop describing it. Its bilingual behaviour is now unique to you — and untested.

🧬

Fine-tuning shifts behaviour

Domain fine-tuning on mostly-English data can introduce cross-lingual regression — improving your English outputs while degrading Arabic completeness and tone.

📚

RAG inherits your blind spots

Retrieval systems answer from your knowledge base. If retrieval, chunking, or embeddings underperform in Arabic, users get incomplete answers that look confident and cite real sources.

🛡️

Internal accountability

When the system is yours, there is no vendor to point to. Boards, auditors, and regulators will ask what testing was done — and independent assessment strengthens the evidence available to them.

What we assess

Any internal system with Arabic–English exposure

Built for sensitive environments

Evaluation that respects your data boundaries

🔒

Restricted-environment testing

Where systems cannot leave your infrastructure, we design the evaluation to run client-side or in your restricted environment, under NDA.

🧪

Synthetic test design

No production data required. We build domain-representative bilingual prompt suites from public and synthetic material matched to your use case.

📄

Governance-ready evidence

Findings are delivered as a written report with a deployment verdict, severity-classified findings, and a remediation roadmap your teams can act on.

How it works

From scoping to verdict

01

Scope

We map your system, use case, data constraints, and the decisions the evaluation needs to support.

02

Design

A bilingual test suite is built for your domain vocabulary and risk profile — reviewed with you before testing begins.

03

Evaluate

Structured testing in both languages, combining automated scoring with native-speaker expert review.

04

Decide

You receive a clear readiness classification — ready for controlled pilot, conditional pilot, restricted use, or not ready for deployment — with evidence and remediation steps.

Deliverables

An independent release gate for every material model change

New checkpoints, fine-tuning runs, retrieval-corpus updates, system-prompt changes, safety-policy changes, new workflows, new languages or dialects — each can be gated with the same evidence pack.

Know what your own system does in Arabic

Tell us what you have built — or what you are about to buy — and we will scope an evaluation that fits your constraints.

Book an Intro Call →