Know what every document is
before a human touches it.
Classification applies your label taxonomy to every document as it enters the pipeline. Build classifiers with confidence thresholds, run them on demand or in batch, and refine against test fixtures in the classification lab before publishing to production.
Build, run, and refine classifiers
against your document universe.
Define multi-class label taxonomies specific to your operation. Set confidence thresholds per label, version every configuration, and publish when ready — with full rollback if a new version underperforms.
Run classifiers on demand or against document batches. Every run records status, timing, and results. Full run history lets you compare classifier versions against the same document sets.
A test harness with fixture documents lets you validate label assignments side by side before any classifier reaches production. Refine thresholds, inspect edge cases, and ship only when confident.
From label definition to production routing in three steps.
Define your label taxonomy — document types, subtypes, routing categories — and set confidence thresholds for each. Version the configuration so every change is tracked and reversible.
Execute the classifier on demand or in batch. Results land in run history with per-document label assignments, confidence scores, and timing. Compare across classifier versions on identical document sets.
Open the classification lab, load fixture documents, and review label assignments against expected results. Adjust thresholds, re-run, and publish when the classifier performs to your standard.
Composable across the intake and triage pipeline.
“Classification alone replaced *two hours of daily triage.* Documents arrive labeled and routed — the team starts on the work, not the sorting.”
Built for how the industry actually works.
Quovy does not pitch core replacement. Tech leaders know how painful that is. We thread through the homegrown patchwork specialty teams have stitched together over years.
See Classification in action.
Walk through a live classifier build, run, and lab review against a real submission document set.