Measure the accuracy, reliability, safety, and business performance of your AI systems
Evals are systematic evaluation methods used to measure the accuracy, reliability, safety, reasoning ability, and business performance of AI systems. They assess how well LLMs, SLMs, agents, and RAG pipelines perform on real enterprise tasks.
Enterprises use Evals to reduce hallucinations, improve precision, validate safety, and ensure AI outputs meet business requirements before going live.
As AI becomes embedded in daily workflows, enterprises cannot rely on ad hoc testing. Evals bring structure, confidence, and accountability.
Continuous testing ensures models produce grounded, accurate answers.
Evals check for prohibited content, regulatory violations, and unsafe recommendations.
Evals align AI outputs with actual outcomes such as ticket deflection, sales productivity, or resolution accuracy.
Evals help teams decide when an AI workflow is ready for production.
Ideal for industries with regulatory responsibilities: financial services • healthcare • retail • technology
Evals keep AI systems aligned with business rules and standards.
Evals are structured tests for AI systems.
Accuracy, latency, groundedness, safety, or business metrics.
Real examples from tickets, CRM, documents, SOPs, or policies.
Measure model outputs, tool calls, and behavior against expectations.
Pass, fail, partial credit, or weighted scoring.
Adjust prompts, chunking, embeddings, guardrails, or pipeline logic.
A reliable process before deployment.
This creates a scientific loop for improving AI reliability.
Enterprises typically blend several of these eval types for each use case.
Evals turn subjective AI behavior into objective, measurable performance.
Evals require strong pipelines, test datasets, scoring frameworks, and governance. Gyde provides the people, platform, and process to operationalize evals for enterprise scale.
A team focused entirely on your AI evaluation implementation.
Everything you need to build production-grade evaluation systems.
Your evals process is designed, automated, and deployed through a structured process.
Evals become the quality backbone of your enterprise AI strategy.
No. They automate repetitive testing while humans review critical cases.
Yes. Continuous evals help detect regressions quickly.
Yes. GPT, Gemini, Claude, Llama, Mistral, and open source models.
Yes. Tool selection, parameters, and results are scored.
Yes. They support audit trails, safety validations, and compliance checks.
Start your AI transformation with production ready evals delivered by Gyde.
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