Siloam AI (alpha)

Siloam AI (alpha) is an observability platform built specifically for applications that rely on large language models. It collects every LLM API call your app makes and presents the data in a single dashboard so you can see exactly what your models are doing. Think of it as a monitoring tool for your AI backend — it logs inputs, outputs, token usage, cost, and session data in real time.

The platform works by ingesting API logs through a simple POST request. You send your model name, input, output, session ID, token count, and cost to Siloam AI's endpoint, and it handles the rest. Once the data is in, you get live request monitoring with no sampling or delays. The smart detection feature (currently in beta) automatically flags suspicious responses, inconsistencies, and potential hallucinations before they reach your users. You can also search millions of requests in milliseconds, filter by model or user, and let the system spot trends and anomalies on its own.

Siloam AI (alpha) is most useful for developers and product teams who are shipping LLM-powered features and need to understand how their models behave in production. It helps with debugging unexpected outputs, tracking usage patterns, and keeping an eye on costs. The free tier supports up to 1,000 logs per month with 30-day retention, making it easy to try without commitment. Paid plans scale up to unlimited logs for enterprise teams.