Macgence

Coverage score

7 / 25 · rank 34 of 88

The same formula is applied to every entry. It counts stated coverage and confirmed figures; it does not measure quality. How the score works.

AI products tested

As stated by the vendor on 2026-11-09

• Predictive ML models

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Testing services

As stated by the vendor on 2026-11-09

• ML model validation
• Red teaming and adversarial testing
• Bias and fairness audit
• Training data and labeling QA
• Production monitoring and drift testing

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Stated scope

Macgence states that its model evaluation service checks datasets for inconsistencies, missing values and biases, and assesses models against accuracy, precision, recall and F1 scores. The page also lists stress and robustness testing with adversarial inputs and edge cases, bias and fairness assessment, explainability, and ongoing evaluation and revalidation as machine learning models experience data drift.ev-macgence-02

How the vendor describes itself

As described by the vendor; summarised on 2026-11-09. Client names, performance percentages and prices are left out.

Macgence describes itself as a collaborator in AI development that provides human-in-the-loop solutions. Its stated service lines include AI data services, language services and AI engineering. The vendor states that its work integrates human knowledge with technology.ev-macgence-19

Evidence

Every source opened for this entry, with retrieval date and verification date. Verified by AI Testing Vendors.

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