Safe Intelligence

Founded 2025

Verify, validate, and monitor machine learning models and AI agents

You can use Safe Intelligence to test, verify, and monitor machine learning models and autonomous AI agents. The software helps you analyze model performance across entire input spaces rather than individual test points. You can identify edge-case fragilities, counter-examples, and security vulnerabilities across neural networks, decision trees, and vision systems. It also provides automated test set generation and continuous production monitoring, allowing teams to catch performance degradation, data shifts, and unwanted behavioral variance before deploying models into production environments.

What Safe Intelligence does

Verify machine learning models against input perturbationsGenerate automated test suites for AI agentsMonitor models in production for domain driftIdentify counter-examples in trained neural networksAnalyze tabular data model fragilityRun automated security checks on AI agent workflowsFormal verification of models against broad classes of perturbationsAutomated test set generation for AI agentsFragility and counter-example detection across input spacesRobustness analysis across neural networks, decision trees, and random forestsContinuous production monitoring and alerting for emerging model issuesDomain shift performance validationAutomated agent tracking and security checks across an organization

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