CO/AI Subscribe
Wednesday · June 3, 2026 · Issue No. 885

What does it do?

  • AI Quality Assurance
  • Automated Testing
  • Chatbot Testing
  • Voicebot Testing
  • Generative AI Testing

How is it used?

  • Use web app to simulate user interactions
  • test AI apps.
  • 1. Access web app
  • 2. Define metrics
  • 3. Integrate w/ API
See more

Who is it good for?

  • Enterprise AI Teams
  • AI Developers
  • Chatbot Creators
  • Quality Assurance Professionals
  • Voicebot Designers

Details & Features

  • Made By

    MAIHEM
  • Released On

    2023-10-24

MAIHEM is an AI-powered platform that automates quality assurance for AI applications, with a focus on Large Language Models (LLMs). It creates AI agents that continuously test AI applications, ensuring their performance and safety throughout the development and deployment process. This solution is particularly valuable for applications using generative AI, such as chatbots and voicebots, where traditional testing methods are insufficient due to the probabilistic nature of these models.

Key features:
- Automated Quality Assurance: Utilizes AI agents to simulate real-user interactions, identifying and rectifying issues before launch.
- Simulated User Interaction: Generates thousands of user interactions to test AI responses in diverse scenarios, ensuring thorough coverage.
- Custom Metrics: Allows users to define custom metrics for performance and risk according to their AI product's specific needs and objectives.
- Pro-Code Integration: Offers API access for seamless integration within the codebase, catering to developers.
- No-Code Interface: Provides a user-friendly web app with dashboards for conducting AI quality assurance without the need to write code.
- Cloud and On-Prem Solutions: Offers secure endpoint access to their cloud with dedicated options available, as well as fully customizable on-premise solutions for enterprise customers.

How it works:
1. Users define custom metrics for performance and risk based on their AI product's needs.
2. MAIHEM's AI agents simulate real-user interactions with the AI application.
3. The platform generates thousands of user interactions to test AI responses in various scenarios.
4. Issues are identified and reported before launch.
5. Users can access results and insights through the web app dashboard or API integration.

Integrations:
While specific integration partners are not mentioned, MAIHEM's platform can connect data, send emails, receive texts, and scrape websites, suggesting broad compatibility with various APIs and data sources.

Use of AI:
MAIHEM leverages generative AI technologies to automate the creation and optimization of workflows for AI quality assurance.

AI foundation model:
The exact foundation model or LLM used by MAIHEM is not disclosed.

Target users:
- Developers and technical teams integrating AI quality assurance into their workflows
- Non-technical users seeking no-code solutions for AI quality assurance
- Enterprises requiring scalable, secure, and customizable AI quality assurance solutions

How to access:
MAIHEM is available as a web application, accessible through browsers without additional software installations.

Pricing:
Pricing details are not provided. Interested parties should contact MAIHEM directly for this information.

Company background:
MAIHEM was founded by Max Ahrens and Eduardo Candela and is backed by Y Combinator, Moonfire, and 2100 Ventures. The company operates under a proprietary software model.

  • Supported ecosystems
    Unknown
  • What does it do?
    AI Quality Assurance, Automated Testing, Chatbot Testing, Voicebot Testing, Generative AI Testing
  • Who is it good for?
    Enterprise AI Teams, AI Developers, Chatbot Creators, Quality Assurance Professionals, Voicebot Designers

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Store, manage, and query multi-modal data embeddings for AI applications efficiently
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Enhance LLMs with user data for accurate, cited responses in various domains
Lantern is a vector database for developers to build fast, cost-effective AI apps using SQL.
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