BreezeML provides an enterprise AI testing and evaluation platform designed for production systems. The platform uses an adaptive testing agent to learn from service failures, ensuring exhaustive coverage across RAG pipelines, agents, and chatbots. This allows enterprises to deploy AI faster with confidence by reducing production failures and optimizing evaluation costs.
Funding
$4.1M 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.
BVFounders
Product
Problem
Organizations deploying generative AI models face challenges in maintaining compliance with evolving regulations and internal AI policies. Ensuring the safety, accuracy, and ethical behavior of these models throughout their lifecycle requires continuous monitoring and risk management.
Solution
BreezeML offers a comprehensive platform for automated compliance monitoring and risk management of generative AI models. The platform integrates with existing tech stacks to continuously evaluate AI outputs for safety, accuracy, and adherence to both external regulations and internal AI policies. By providing real-time notifications, automated reporting, and customizable controls, BreezeML enables organizations to proactively mitigate risks associated with AI deployment, ensuring responsible and compliant use of generative AI. The platform supports various AI regulations and frameworks, including EU AI Act, NIST AI RMF, CO 10-1-1, SR 11-7, and NAIC Bulletin.
Target Audience
BreezeML targets organizations deploying generative AI models, including those in financial services and other regulated industries, who need to ensure compliance, safety, and accuracy.
Features
- Continuous compliance monitoring against external regulations and internal AI policies
- Automated evaluation of input and output quality for safety, accuracy, and ethical considerations
- Auto-generated test cases tailored to specific AI use cases for stress testing models
- Red-teaming capabilities to identify weaknesses such as prompt injection, jailbreaking, and PII extraction
- Real-time notifications and alerts for immediate issue resolution
- Automated report generation for internal review, risk assessments, and policy regulations
- Customizable controls to fit specific company needs
- Seamless integration with existing AI stacks, including data stores, processing code, and AI models