About AIGAREX

Our story

AIGAREX was built to solve one recurring problem in AI: models fail when training data and evaluation are inconsistent. We support AI teams with multilingual annotation, LLM evaluation (RLHF), and dataset QA—using clear task specifications, reviewer workflows, and quality audits. We deliver datasets and evaluation results that are traceable, consistent, and ready for iteration.

20+

languages coverage

We support English, French, Spanish, Portuguese, and Haitian Creole, expanding as needed for projects.

Projects delivered

Last year, we completed over 5+ Structured datasets and evaluation outputs delivered through reviewer validation and QA checks..

Key industries

Support for AI teams across NLP/LLM and multimodal workflows. Healthcare • E-commerce • Safety-sensitive content

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Our Delivery Team

Annotators

We produce structured labels for training datasets using client rubrics, intent definitions, entities, classification schemes, and safety tags across multilingual content.

Reviewers

We validate labels, resolve disagreements, and enforce consistency, especially for edge cases, cultural nuance, and high-risk content.

LLM Evaluators

We score and rank model outputs using rubrics for helpfulness, factuality, harmlessness, and tone, producing evaluation datasets teams can train and iterate on.