Large Language Models
Safety, robustness, fairness, hallucination, and privacy — for AI agents and applications.
Empirical AI Testing Framework
Test All Forms of
Artificial 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.
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 run four core tests covering safety, robustness, hallucination risk, and regulation alignment — helping them identify, measure, and manage AI risks before deployment.
BenchDX
Benchmark Safety Testing
Evaluate your AI's baseline safety across 5 core dimensions and 20 risk categories — from toxicity to legal compliance — under real-world conditions.
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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.
ModelMX
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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Case Studies
See the Solution in Action
Trusted by AI Teams Across Industries.
