Scenario-based evaluation kit
Establish a quality baseline with real business samples to measure accuracy, completeness, stability and cost.
Establish evaluation, safety, and audit baselines before AI systems enter production.
Click any product node to see its role in the same production architecture.
MatrixGuard sits between Agent and production operations, performing evaluation, guarding, permission checks and auditing traces on each release and run behavior.
Establish a quality baseline with real business samples to measure accuracy, completeness, stability and cost.
Automatically rerun the baseline when the model, prompt words, or workflow changes to prevent substandard versions from entering production.
Check sensitive information, unauthorized operations, content policies and low-confidence output, and process them according to risk routing.
Record input, output, models, tool calls and manual decisions to support internal and external audits.
Hosted by MatrixLabs for quick start and cross-team collaboration.
Run on a customer cloud account, data, network and keys remain within corporate control.
Deployed on own infrastructure or isolated network, suitable for supervision and sensitive data scenarios.
Provide data with sources and permissions so that reviews can return to the basis of real facts.
View product →INPUT / EXECUTEBring every Agent workflow, tool call, and human decision into governance.
View product →NEXT / OPERATEBring evaluation results and security incidents into production monitoring and release decisions.
View product →Armed with an existing POC, historical samples, and risk requirements, we'll first sort out the minimum evaluation set and release thresholds.