Empirical AI Testing Framework

Test All Forms ofArtificial Intelligence

AIDX provides the industry's most rigorous testing platform for enterprise models. Secure your deployment across LLMs, Voice AI, and Computer Vision under real-world usage conditions.

Large Language Models

Safety, robustness, fairness, hallucination, and privacy — for AI agents and applications.

Voice

Content safety, robustness, voiceprint security, and hallucination detection.

Computer Vision

Robustness and adversarial attack testing for CV models and applications.

Model

Red-teaming and safety evaluation for LLM, vision, and voice models.

AI Agent

Security testing for multi-agent systems — tool use, autonomy, and cross-agent risks.

AI Application

End-to-end audits for AI-powered products — chatbots, workflows, and content platforms.

[01]Staged

DX - SUITE

AI Risk Diagnosis On One Platform

DX Suite turns AI risk testing into a structured, repeatable workflow. From one platform, teams can test safety, robustness, hallucination risk, policy alignment, and agent workflows — helping them identify, measure, and manage AI risks before deployment.

AgentDX

AI Agent Testing and Evaluation

Agents can answer questions, call tools and take action in the same workflow. AIDX evaluates risks against the intended task, system context and authorized behavior.

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[02]Released

MX - SUITE

CONTINUOUS AGENT MONITORING

MX Suite keeps watch — with AgentMX for behavior monitoring and ModelMX for real-time prompt protection.

Model Monitoring

Prompt Injection Detection

ModelMX protects AI applications from malicious prompts, jailbreak attempts, and instruction manipulation. It scans user inputs in real time, detects prompt injection patterns, and flags risky interactions before they lead to data leakage, policy violations, or unsafe outputs.

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