Validate every dimension of your AI system: functionality, alignment, performance, and safety with a structured, multi-layered testing approach.
AI/LLM
USA
2025
3 QA engineers
This case study presents how Tesvan applied Layered AI Testing using its proprietary LLM Validator to ensure robust and reliable AI performance across multiple dimensions. Unlike single-focus testing, this modular validation process evaluates AI systems on functional accuracy, semantic alignment, performance under load, and fairness metrics.
By combining layered evaluations with the LLM Validator, Tesvan helps enterprises identify risks early, improve trust in AI outputs, and guarantee consistent performance in production environments. This comprehensive approach allows organizations to deploy AI solutions with confidence, knowing that quality, fairness, and scalability are systematically validated.
By using Layered AI Testing with the LLM Validator, Tesvan enabled enterprises to deploy more reliable and equitable AI systems with measurable improvements:
functional accuracy
semantic alignment
load tolerance under peak demand
faster validation cycles
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