Build with iNAGO
From pilot to production deployment, guided by iNAGO experts.
netpeople Platform
Deploy and operate AI agents in real-world systems.
netpeople Starter
Turn documentation into deployable AI agents.
netpeople Agent Evaluator
Objective performance measurement across any AI system.
Build. Measure. Improve.
Products
AI That Sounds Right Can Still Be Wrong
Generative AI produces responses — but real systems require reliability.
Answers may appear correct while being incomplete, inconsistent, or misleading.
Without measurement, these issues remain hidden until they affect real users.
1. Submit Source Documentation
Provide the knowledge your AI is based on — manuals, product data, or domain content.
2. Automatic Scenario Generation
Generate structured evaluation scenarios aligned to real use cases.
3. Evaluate Agent Responses
Test responses using live agents or uploaded outputs.
4. Objective Performance Analysis
Measures performance across completeness, correctness, relevance, and conciseness.
From Documentation to Measurable Insight
The netpeople Agent Evaluator measures AI performance against the knowledge it is built on.
It generates evaluation scenarios, analyzes responses, and provides objective insight into how your AI actually performs.
Evaluate AI in Real Scenarios
From Insight to Improvement
Deeper evaluation unlocks more precise optimization.
Standard Evaluation
Clear performance scoring across key metrics
Advanced Evaluation
Deeper analysis with expanded criteria and detailed breakdowns.
Optimized for
®
Direct connection to knowledge and logic — enabling continuous improvement.
From Insight to Optimization
Evaluation depth increases insight — and unlocks greater improvement.
The Measurement Layer in the netpeople AI Lifecycle
The nEvaluator provides the measurement layer within the netpeople AI Lifecycle — connecting AI behavior to continuous improvement.
Without measurement, AI drifts.
With measurement, it improves.
