Research-Intensive Startups
Spend less time rebuilding the experiment trail.
Artificial Intelligence & Machine Learning / Longueuil, QC
Make model evaluation repeatable. Promising results are hard to trust when datasets, prompts and model versions drift.

Promising results are hard to trust when datasets, prompts and model versions drift.
KOVA can be configured to work with these inputs: approved datasets, evaluation suites, model configurations and experiment metrics.
Compare candidates, identify regressions and analyse failure slices instead of a single aggregate score.
Run scheduled evaluations and publish versioned scorecards for the engineering team.
Compute scheduling, experiment tracking and controlled access to evaluation data.
KOVA runs the selected models locally. SOS AI combines the required model software, data connections and approved application tools around the job. Cameras, sensors, telephony and specialist applications are integrated where the workflow calls for them; they are not assumed to be present in every installation.
Use held-out data and test leakage; deployment decisions need task-specific evidence.
Evaluate the model on the failure cases that matter.
Explore the application ↗Evaluate the model on the failure cases that matter.
Explore the application ↗Evaluate the model on the failure cases that matter.
Explore the application ↗Make the analysis reproducible from input to result.
Explore the application ↗Evaluate the model on the failure cases that matter.
Explore the application ↗No professions match. Try a broader word.