Companies who need llm monitoring

Openlayer provides tools to track prompts and models, test edge cases, and catch errors in production for AI applications, which indicates they utilize large language models (LLMs) and require monitoring solutions for them.

Fiddler AI offers AI Observability solutions specifically for monitoring, analyzing, and improving machine learning models and large language models (LLMs). This includes features for model monitoring, which indicates that they utilize LLMs and require monitoring solutions for them.

Abacus.AI utilizes large language models (LLMs) in their operations, as evidenced by their offerings such as ChatLLM, Language AI, and Custom Fine-Tunes. Additionally, they provide LLM Ops services including Drift, Observability, and Explainability, which are monitoring solutions for LLMs.

Humanloop helps developers and founders build applications on top of large language models and offers a developer platform for LLM applications, indicating they utilize LLMs in their operations. Given their focus on improving systems with human feedback, it is likely they require monitoring solutions for their LLMs.

Protect AI matches the query because it provides a platform for AI and ML security, including a product specifically named LLM Guard, which helps secure LLM applications by detecting, redacting, and sanitizing LLM prompts and responses. This indicates that the company utilizes large language models (LLMs) in their operations and requires monitoring solutions for their LLMs.

ClosedLoop.ai provides tools for the monitoring of AI/ML models, which implies they utilize large language models (LLMs) and require monitoring solutions for them.

Giskard matches the query because it supports and utilizes large language models (LLMs) in its operations and offers LLMon (beta) for production monitoring of LLM-based applications, addressing the need for monitoring solutions for LLMs.

Aporia offers a platform specifically designed for real-time AI control and monitoring, including features tailored for large language models (LLMs) such as hallucination mitigation, off-topic detection, and data leakage prevention. The company supports integration with every LLM and provides tailored production ML dashboards for monitoring key metrics and real-time ML monitoring. This indicates that Aporia not only utilizes LLMs but also requires and provides monitoring solutions for them.

GenHealth.ai utilizes large language models (LLMs) in their operations, as evidenced by their development of a Large Medical Model and the patent-pending Generative Pre-Trained Transformer (GPT) AI called DOOG-E. Given the complexity and scale of these models, it is likely that they require monitoring solutions to ensure their performance, accuracy, and compliance with healthcare regulations.