Siloam AI (alpha)

Siloam AI (currently in early alpha) is an LLM-usage observability and monitoring tool, with features like anomaly and hallucination detection in active development. We aim to be reliable, easy to use and affordable for any size of team.

Siloam AI is an observability and monitoring tool designed for tracking LLM (Large Language Model) usage. Currently in early alpha, it helps teams detect anomalies, hallucinations, and inconsistencies in real time, ensuring reliable AI interactions before they reach users. The tool offers comprehensive visibility into API calls, enabling precise debugging and optimization of LLM applications. Key features include real-time monitoring, automated anomaly detection, and powerful search capabilities that filter requests by model, user, error type, or custom tags. Siloam AI also provides detailed API documentation for seamless integration. Built for teams of any size, it emphasizes affordability and ease of use with transparent pricing and a free starting tier. The goal is to streamline LLM performance analysis while minimizing log overload.