QuantPi provides an AI Trust Platform that automates the testing and auditing of AI models for explainability and robustness. This platform enables organizations to ensure the reliability and compliance of their AI systems, facilitating informed decision-making and minimizing operational risks.
Funding
$2.5M 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 face challenges in ensuring the reliability, compliance, and ethical deployment of AI models, leading to potential operational risks and hindering informed decision-making. Traditional methods for testing and auditing AI models are often manual, time-consuming, and lack the scalability needed to address the complexities of modern AI systems.
Solution
QuantPi offers an AI Trust Platform that automates the testing and auditing of AI models across their lifecycle, enabling organizations to build trustworthy foundations for their AI strategy. The platform assesses uniform risk and performance metrics to reveal how AI systems behave, providing certainty in AI-driven decision-making. By connecting technical testing with compliance demands, QuantPi streamlines approval processes and documentation, facilitating the operationalization of both external and internal policy frameworks at scale. This allows businesses to leverage the power of AI while minimizing risks associated with large language models (LLMs) and other AI applications.
Target Audience
QuantPi's primary customers are organizations across various industries that are developing, deploying, or using AI models and need to ensure their reliability, compliance, and ethical behavior.
Features
- Automated testing and auditing of AI models for explainability and robustness
- Uniform risk and performance metrics to assess AI system behavior
- Scalable testing across the AI lifecycle
- Streamlined approval processes and documentation for compliance
- Support for operationalizing external and internal policy frameworks
- Specialized testing for large language models (LLMs)