Single and multi-label
Classification against flat or hierarchical taxonomies.
Classification and taxonomy at scale
Data Labeling
High-volume labelling against a controlled vocabulary that stays consistent as it grows.
Consistency Is the Product
At a thousand items, labelling is a task. At a million, it is a process — and the failure mode is not wrong labels, it is drift: the same item labelled one way in January and another in March. Everything we do around labelling exists to prevent that.
What Is Included
Attribute tagging
Structured properties for catalogue and search.
Content moderation
Policy-based classification with escalation paths.
Sentiment and intent
Aspect-level classification of customer language.
Entity linking
Mentions resolved to a canonical record.
Ranking and preference
Comparative judgements for ranking and alignment work.
How We Work
- Taxonomy design We help build a vocabulary that survives its own growth.
- Calibration rounds Everyone labels the same set first and disagreements are resolved openly.
- Ongoing drift checks Periodic re-labelling of old items detects drift while it is cheap.
- Clear escalation Anything genuinely ambiguous goes up, not into a guess.
The Controls Behind It
- Blind double-labelling A sampled share is labelled twice, independently.
- Confusion analysis Which classes get mixed up, and why, is reported.
- Vocabulary versioning A taxonomy change is a versioned event with a migration.
- Throughput with quality Speed is reported alongside agreement, never instead of it.
Ready When You Are
Tell us what you are building and we will come back with a plan, a sample and a price.