Maihem - Enterprise-grade quality control for every step of your AI workflow.

Maihem Enterprise-grade quality control for every step of your AI workflow.

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Home: https://maihem.ai

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#quality control
#workflow
#testing
#Troubleshoot
#monitoring
#red teaming

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What is Maihem?

Maihem provides a comprehensive AI quality control system designed for technology leaders and engineering teams. The platform allows for testing, troubleshooting, and monitoring of AI workflows, ensuring optimal performance and security.

With features such as retrieval-augmented generation (RAG) challenges, bias detection, and privacy (PII) leak detection, it helps catch critical flaws before they reach users. Maihem supports collaboration through a no-code interface and provides military-grade IT security at every stage.

Features

Customer experience (CX) test & track: Continuously test and monitor your AI application’s performance across diverse user personas and Role-Based Access Controls (RBAC).
RAG test & track: Ensure your AI application meets the highest information retrieval standards with the most advanced evaluation tools and hallucination detection models in the industry.
Agentic workflow simulations: Easily define and test any AI workflow to detect process flaws in your agentic architecture.
AI security test & track: Continuously assess your AI's security with advanced red-teaming agents, designed to detect and address threats before they become critical.
Coverage across all OWASP dimensions of LLM risk: Protect your AI applications with in-depth tests covering all OWASP vulnerability and risk dimensions.
Compliance tests for regulations such as GDPR and EU AI Act: Run rigorous simulations to test your AI application’s compliance with regulatory requirements.
Test data generation: Auto-generate diverse, realistic, and dynamic datasets to test your AI at scale.
Eval metric libraries: Test your AI using modules to identify risks and prevent failures.
AI performance monitoring: Use simulation tools to ensure your AI reliably adapts to model changes.
AI red-teaming: Use modules to systematically stress-test your AI application.

Use Cases

Analyzing any AI workflow
Catching critical flaws before users do
Collaborating across teams in AI development
Testing and monitoring the performance of AI applications
Ensuring the security of AI applications
Ensuring Compliance with regulations

FAQs

Which LLMs do you support?

Our system is LLM agnostic. Whether you’re using OpenAI, Anthropic, Cohere, Google, or any open-source model, we can assess your AI application’s performance and even help you benchmark the best LLM option for your use case.
Do you offer custom solutions?

Yes, we provide custom enterprise solutions tailored to your organization, tech stack, and specific AI use case.
Is our data secure when you test our AI?

Yes. All our systems are designed with bank/military-grade IT security standards. All data is encrypted in transit (TLS) and at rest (AES256). Dual-layer network boundary protection is in place. We offer various ways to integrate with us, to ensure we accommodate your data and IT security requirements.