Find where your AI breaks. Before it ships to production.
Rockfish generates the high-coverage, labeled data your evals need - the rare, unexpected events and edge cases your real production data won't hand you in time.
Real results, from real deployments.
A propensity model trained on synthetic booking data ranked the customer base and converted far above the organic baseline.
Read case study →Synthetic behavior data reproduced a real intent-to-conversion signal, stress-testing the NEXA agent against ground truth.
Read case study →A rule-compliant synthetic order bank enabled buildability validation across thousands of feature families - fully privacy-safe.
Read case study →Generate the data your AI hasn't been tested against.
Generated from your schema or a sample of your data — modeled to your domain and ready to drop into any eval.
Your agent passes the benchmarks. Does it answer your users' actual questions?
Rockfish builds eval sets from your domain realistic scenarios paired with the right answers - so you see where your agent gets it wrong before a customer does.
Has your model ever seen the failure that actually matters?
The rare events live in your worst incidents, not your training data. Rockfish generates them on demand - labeled spikes, cascades, and drifts, so you can test against them anytime.
From your schema to an eval-ready dataset - in four steps.
Bring your data or schema
A schema, a sample dataset, or a production export. No custom pipelines required.
Generate a baseline
Rockfish preserves temporal structure, multivariate correlations, and domain behavior without touching real data.
Inject the scenarios
Add anomalies, incidents, drifts, and edge cases — with full labels and metadata alignment. In plain language.
Evaluate
Drop the output into model testing, agent evaluation, regression testing, or privacy-safe sharing.
Rockfish doesn't replace your LLM or your eval harness.
It feeds them the data they're missing. The same engine works alongside the models and tools you already run, it just makes sure they've been tested against the failures that matter.
Built to handle your most sensitive data.
Your real data is the thing you're protecting. Rockfish is designed so you never have to expose your real data.
Runs inside your boundary
Deploy in your own VPC, on-prem, or as a Snowflake Native App. Generation happens where your data already lives — nothing has to leave.
You don't hand over raw records
Start from a schema, a sample, or a production export. Rockfish learns the patterns — not the people — so your sensitive records stay put.
Safe to share by default
Outputs carry the statistical shape of your data without exposing real individuals — ready for privacy-safe sharing across teams and vendors.
The incidents that break your agents or models don't happen on a schedule.
With Rockfish, you don't have to wait for them. Generate the data, run the eval, and ship with confidence.