Maihem develops AI agents that automate the testing and monitoring of AI applications, focusing on quality assurance and compliance with regulatory standards. Their platform enables organizations to continuously assess AI performance, security, and risk, ensuring reliable deployment at scale.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations deploying AI applications face challenges in ensuring their reliability, security, and compliance with evolving regulatory standards. Traditional testing methods are often inadequate for the complexities of AI, leading to potential flaws, security vulnerabilities, and regulatory breaches.
Solution
Maihem offers an AI testing and monitoring platform that automates the quality assurance process for AI applications. The platform enables continuous assessment of AI performance, security risks, and compliance with industry standards and regulations like GDPR and the EU AI Act. By connecting an AI application to Maihem, users can leverage market-leading metrics libraries to evaluate AI quality across various dimensions, generate synthetic datasets for ongoing performance tracking, and run simulations to test regulatory compliance. The platform provides automated reporting and action lists to help teams quickly identify and address areas needing improvement, ensuring responsible and successful AI deployment.
Target Audience
Maihem targets technical decision-makers and engineering teams deploying AI applications at scale, particularly those in industries with stringent regulatory requirements.
Features
- Automated testing and monitoring of AI applications for quality, risk, and security
- Market-leading metrics libraries for assessing AI performance across diverse dimensions
- Continuous performance tracking using auto-generated synthetic datasets
- Rigorous simulations to test compliance with regulations such as GDPR and the EU AI Act
- Red-teaming agents designed to detect and address security threats
- Coverage across all OWASP dimensions of LLM risk
- Customer experience (CX) testing and tracking across diverse user personas
- Advanced evaluation tools and hallucination detection models for RAG systems
- Agentic workflow simulations to detect process flaws in agentic architectures
- SDK/API integration for seamless connection with AI applications