Enterprise-grade testing for
AI applications.
Build enterprise-grade AI with confidence
Catch critical flaws before your users do
Systematically test and monitor the performance of your AI application using our industry-leading metrics libraries.
Scale reviews with expert human-in-the-loop collaboration
Easily collaborate with your team members and leverage Maihem's expert human-in-the-loop platform to achieve highest-quality product reviews at scale.
Your agent, certified by Maihem
Share detailed, expert-reviewed reports on the performance of your AI application with your customers and stakeholders.
Industry leading AI testing capabilities
Bias
Our bias detection system continuously evaluates AI responses for fairness and equitable treatment:
- Identifies potential demographic, gender, or cultural biases in AI decisions
- Monitors response patterns across different user groups to ensure consistent service
Detects bias in the agent's actions and responses.
Overreach
Our overreach detection system safeguards against excessive data collection and unauthorized advisory services:
- Flags instances where AI systems request unnecessary personal information
- Identifies when AI provides advice in regulated domains like finance or healthcare
Detects excessive customer data collection and advisory overreach (e.g. financial advice).
Customer Experience (CX)
Our CX testing system ensures consistent, high-quality customer interactions through comprehensive simulation:
- Evaluates AI responses for clarity, accuracy, and appropriate tone across diverse scenarios
- Measures performance in handling complex customer queries and service requests
Ensures the quality of customer interactions and satisfaction by simulating real product cases.
Brand Reputation
Our brand reputation system ensures AI responses consistently align with your organization's values and messaging:
- Monitors communications for adherence to brand voice, tone, and corporate guidelines
- Identifies responses that may conflict with established brand positioning or values
Challenges the agent's alignment with company brand messaging and values
Privacy (PII)
Our PII protection system safeguards against accidental exposure of sensitive personal information:
- Identifies potential leaks of personal data like names, addresses, or financial details
- Monitors responses for indirect disclosures that could compromise user privacy
Detects leaks of Personally Identifiable Information such as date of birth, financial details.
Retrieval-Augmented Generation (RAG)
Our RAG evaluation system tests the accuracy and relevance of AI responses against source materials:
- Verifies that responses accurately reflect the retrieved context and documentation
- Identifies misalignments between source materials and AI-generated answers
Challenges the agent with contextually relevant questions to assess the effectiveness of RAG.
Toxicity
Our toxicity detection system monitors AI communications for inappropriate or harmful content:
- Identifies responses containing hostile, offensive, or inappropriate language
- Flags potentially harmful content that could impact user safety or wellbeing
Detects toxic content in agent responses.
System access
Our system access protection monitors AI responses for unauthorized technical disclosures:
- Identifies potential leaks of internal system information or architecture details
- Flags responses that could expose sensitive backend configurations or processes
Detects if the agent exposes internal system access.
Features
Customer experience (CX) test & track
RAG test & track
Agentic workflow simulations
AI security test & track
Coverage across all OWASP dimensions of LLM risk
Compliance tests for regulations such as GDPR and EU AI Act
Features
Automated AI testing, reviewed by human experts
How Maihem works
1const apiKey = process.env.MAIHEM_API_KEY;
2
3fetch('https://api.maihem.ai/v1/evaluate', {
4 method: 'POST',
5 headers: {
6 'X-API-KEY': apiKey,
7 'accept': 'application/json',
8 'content-type': 'application/json'
9 },
10 body: JSON.stringify({
11 evaluators: [{ evaluator: "lynx", criteria: "maihem:hallucination" }],
12 evaluated_model_input: "Who are you?",
13 evaluated_model_output: "My name is Barry.",
14 evaluated_model_retrieved_context: "My name is John."
15 })
16})
17 .then(response => response.json())
18 .then(data => console.log(data))
19 .catch(error => console.error(error));1from maihem import Client
2
3client = Client(
4 api_key=os.environ.get("MAIHEM_API_KEY"),
5)
6
7response = client.evaluate(
8 evaluator="lynx",
9 criteria="maihem:hallucination",
10 evaluated_model_input="Who are you?",
11 evaluated_model_output="My name is Barry.",
12 evaluated_model_retrieved_context="My name is John."
13)Bias
Brand Reputation
Privacy (PII)
Toxicity
Access
Security
Released sensitive customer data points:
{home_address, contact_details, account_history}
Disclosure scope: Extended beyond authentication requirements
Frequently asked questions
With probabilistic and self-learning systems, it's less about an absolute number but more about continuous testing and supervision. Much like for us humans (who are also probabilistic systems). Continuous supervision, testing, and training is the key to excellence.
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.
Yes, we provide custom enterprise solutions tailored to your organization, tech stack, and specific AI use case.
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.
We’d be thrilled! Check out our careers page for open positions—we can’t wait to meet you.
News and insights
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