Nano vs VernLLM

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and...

The LLM call framework. Resilience, observability, and control for every call.

About Nano

An AI-native security and observability platform for cloud, local, hybrid, and air-gapped teams. Sub-second search, detection engineering, OpenTelemetry, pivt AI, and deployment control in one place. Run nano in the cloud, locally, hybrid, or air-gapped. nano was built from scratch, not refactored: a dedicated cluster, one query language over your security and OpenTelemetry data, agentic investigation, and deployment options from cloud to air-gapped. So when a service slows down, "is this an outage or a breach?" is one query, not two tools and a guess.

About VernLLM

The LLM call framework. Resilience, observability, and control for every call. LLM calls fail in ways plain SDK calls do not handle: timeouts, rate limit errors, a provider having an outage, or a request that just hangs. VernLLM adds retries with backoff, a circuit breaker, provider fallback, rate limiting, and caching around your existing client, so a single bad call does not take down your app. VernLLM runs in your own process, so there is no extra network hop or proxy to maintain.