PH Deck

Developers struggle to monitor and evaluate Large Language Models (LLMs) in production, facing difficulty in detecting hallucinations and accurately measuring performance.

Users face the challenge of monitoring the performance of their APIs regularly, which can lead to instability and issues when anomalies occur.

Users want to monitor changes on various websites for different purposes, such as tracking news, prices, and documents. The old solution may involve manually checking websites for updates or using subscription services, which can be time-consuming and inefficient. The drawbacks include the need to regularly visit websites and often experience delays in receiving updates, making it difficult to keep up with real-time changes. Manually checking websites for updates.

Users need to continuously monitor their domain entities to stay informed about newly exposed applications, which can be a time-consuming and challenging task.

Users struggle with monitoring network services and websites efficiently

Lack of real-time security alerts lead to potential security breaches and downtime

Users currently rely on manual inspections or traditional sensors for gas leak detection, which face slow detection times, inaccuracies, and lack of real-time monitoring.

Users currently rely on manually configuring monitoring tools for Linux servers, which requires technical expertise and time-consuming setup.

Users with backlinks face issues monitoring their status, including changes in rel-tags, anchor texts, no-index, no-follow, and robots.txt. Tracking indexing status on Google and ensuring backlinks are indexed are also challenges.

Website owners struggle to provide information for LLMs (Large Language Models) to effectively use their websites at inference time.

Users previously managed interactions with different large language models (LLMs) across multiple platforms, leading to fragmented workflows, lack of centralized management, and inefficiency in real-time debugging.