Choose a model on its merits.
For teams choosing or updating AI models
Build an evaluation platform that compares candidate models on a customer’s actual tasks. Put quality, latency, and cost in the same decision so a new release is judged by the work it needs to do.
Where AI helps. The platform evaluates AI models on versioned tasks. Automated scores and human review can be compared before a deployment decision.
- Run each candidate on the same tasks
- Inspect results against agreed criteria
- Record why a release was accepted or rejected
A way to earn: Sell team subscriptions and charge for evaluation runs.
A focused first release: Run repeatable model comparisons for one application category.
The customer leaves with: A task-specific comparison of quality, latency, and cost, with run records supporting the release decision.
Catch a release regression.
For software performance engineers
Build a continuous testing service that spots when a code change alters an important workload. Keep the workload and environment reproducible so a flagged slowdown leads to an investigation the engineer can repeat.
- Run a versioned workload consistently
- Separate environment changes from code changes
- Reproduce the run behind a regression alert
A way to earn: Sell CI usage plans and engineering-team subscriptions.
A focused first release: Connect one benchmark suite to CI and produce useful run-to-run comparisons.
The customer leaves with: A comparable benchmark history with the workload, environment, and changed result attached to the release.
Compare lab measurements.
For analytical laboratories
Build a measurement workbench that brings runs, reference materials, and processing records into one view. Help analysts understand whether a difference comes from the sample or from how the measurement was collected and processed.
- Keep reference materials with each run
- Inspect processing changes before comparison
- Export a report linked to the source measurements
A way to earn: Sell laboratory licences with instrument-integration services.
A focused first release: Support one instrument format and one recurring cross-run comparison.
The customer leaves with: A traceable comparison with reference materials, instrument records, and processing differences visible to the analyst.
