Distributional – Ensuring AI Reliability and Security

Distributional

Discover how Distributional's AI testing platform ensures the reliability and security of AI and ML applications, empowering teams to innovate with confidence.

Distributional – Ensuring AI Reliability and Security

In the rapidly evolving world of artificial intelligence (AI) and machine learning (ML), ensuring the reliability and security of applications is paramount. Distributional emerges as a modern enterprise platform dedicated to AI testing, addressing the inherent unpredictability and uncertainty of AI systems. Traditional software testing methods fall short when applied to AI, as they are designed for predictable systems. Distributional's proactive approach to AI testing mitigates the risks associated with AI products, providing teams with the confidence needed to trust their AI applications.

Distributional's framework is comprehensive, enabling AI application teams to collect and augment data, conduct tests, alert on test results, triage these results, and resolve issues efficiently. The platform's dashboards offer a detailed analysis of test results, facilitate the triage of failures, capture an audit trail, and report outcomes for governance purposes. Moreover, Distributional's intelligence automates critical processes such as data augmentation, test selection, and test calibration through an adaptive preference learning process. This ensures that AI and ML applications are not only tested but also optimized for performance and reliability.

One of the standout features of Distributional is its ability to be deployed within a Virtual Private Cloud (VPC), offering full integration with existing tech stacks. This flexibility allows enterprises to maintain control over their data and infrastructure while leveraging Distributional's advanced testing capabilities. The platform's mission is clear: to make AI safe, reliable, and secure. The team behind Distributional is deeply passionate about solving the AI testing problem at an enterprise scale, drawing inspiration from customers, partners, advisors, and investors.

Distributional's approach to AI testing is not just about identifying issues but also about building a foundation of trust in AI technologies. By providing a platform that supports the entire AI software lifecycle, Distributional empowers teams to innovate with confidence, knowing that their AI applications have been rigorously tested and are secure. As AI continues to transform industries, platforms like Distributional play a crucial role in ensuring that these technologies can be trusted and relied upon.

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