What We Do & How

We Test AI Before you Trust it

Axe Network provides independent AI auditing, LLM testing, evaluation and data annotation services to help businesses measure, validate and improve the reliability of their AI systems.

We combine structured testing, benchmarking and expert human evaluation to examine AI models, applications and outputs across accuracy, consistency, safety and real-world performance.

If required, we also develop standalone labeling and evaluation tools tailored to the client's specific needs.

OUR METHODOLOGY

How We Validate AI

We start with the your AI system, objectives, data and risk requirements. We then define the right evaluation criteria, test scenarios and benchmarks before assessing performance.

Our experts evaluate AI models, applications and outputs using structured testing, benchmarking and human review. Findings are documented with clear evidence, measurable results and practical recommendations for improvement.

OUR ENGAGEMENT LIFECYCLE

From Assessment to Improvement

01

02

03

Assess & Scope

Test & Evaluate

Report & Improve

We understand your AI system, use case, objectives, data and risk requirements, then define the scope, evaluation criteria and testing plan.

We run structured tests, benchmarks and real-world scenarios, combining technical evaluation with expert human review to identify quality, performance and safety gaps.

We deliver clear findings supported by evidence and measurable results, with practical recommendations to improve AI quality, reliability and ongoing evaluation.