Two ways Rockfish makes your time-series AI more reliable before it hits production

Teams in observability, telecom, and cybersecurity use Rockfish to evaluate agents and train models — without waiting for rare production events to collect the data they need.

Evaluate your analytics agents on time-series data - before production

Popular agents fail on domain-specific, incident-aware questions. Rockfish generates realistic time-series datasets and matching Q&A eval suites — so you find where your agent breaks before your users do.

Stop missing rare events - train on the anomalies your production data doesn't have

Real data is missing the patterns that determine whether your model performs in production. Rockfish generates labeled time-series datasets with exactly the patterns your model needs — on demand.