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.

Logan and I began working on Siloam after realizing the tool that we wanted to monitor our llm-usage across a variety of different models and providers just simply didn't exist. We decided to follow a "release early and often" strategy to build a feedback loop that will allow us to iterate on this project as efficiently as possible. We hope you enjoy the platform. Let us know if you have any issues and we look forward to growing with you.

Looks like Siloam AI's focus on anomaly and hallucination detection for LLM monitoring is really promising—nice work to the team for pushing this forward in the early alpha stage!

@joey_zhu1 Thank you!! We're working hard to get that released soon. Stay tuned. :)

Congrats on the launch guys, been looking for a LLM observability tool , definitely will give it a try.

@alex_vasileiou Thank you! Please feel free to reach out with any and all feedback you may have or if you need any assistance.

Siloam AI (alpha)

LLM-usage observability and monitoring tool

LLM-usage observability and monitoring tool

Siloam AI (alpha)

LLM-usage observability and monitoring tool

LLM-usage observability and monitoring tool

Do you use Siloam AI (alpha)?

Do you use Siloam AI (alpha)?