Generalized labeling tools don’t offer the customizability or scalability you need to build high-performance models. You need a robust, configurable tool that’s built for NLP and will grow as you do.
Accelerate time to production and unlock AI’s full business impact with an advanced tool built specifically for NLP labeling. Leverage OCR annotation tools, named entity recognition, audio labeling features, and more.
“Garbage in, garbage out.” Poor training data can slow down model production, waste engineer time, and have negative business consequences. Quality data is the lynchpin for your NLP models.
Leverage robust QA capabilities to ensure data quality. Zoom in for individual labeler progress or zoom out for high-level project overviews. Get vital insight, resolve conflicts, and accelerate project times 10X.
Manual data labeling and preparation can consume up to 65% of the NLP project lifecycle. This drains engineering resources and can lead to significant project delays. It shouldn’t have to.
Bring automation to your labeling workflows, from project setup to labeling itself. Leverage data programming features to decrease the time (and people) it takes to get quality training data.
Advanced text and audio data labeling features built with your team’s most complex ML annotation requirements in mind.
Stop draining time trying to make clunky data labeling tools fit your needs. Lean on customizable workflows and a truly configurable NLP labeling UI.
Zoom in for individual labeler progress or zoom out for high-level project overviews. Get vital insight, resolve conflicts, and stay on schedule.