Classer vs Nano

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search...

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

About Classer

Production-grade models for query understanding, retrieval, and ranking, fine-tuned to your catalog, served at millisecond latency, integrated with your existing search infrastructure in days. Run the full pipeline or drop any one stage behind your existing stack. Route on what you extract: a part number sends the query straight to exact lexical lookup. Retrieve by meaning, not vocabulary, a query and a product can match with no words in common. Let retrieval cast a wide net, then put 27 billion parameters on reading the catch, ranking for purchase intent, not textual similarity.

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.