Generate and transform natural language data for business and artificial intelligence.
Increase the coverage and accuracy of your conversational AI on a continuous basis. Discover new intents and improve existing ones.
Explore call center data at scale with clustering, semantic similarity and AI-assisted search. Curate long-tail NLU training datasets for your CCAI use-cases 10-100x faster.
Get rid of spreadsheets and clunky keyword searches. Explore your voice of the customer data, help center tickets, website & helpdesk search queries etc ... with the swiss-army knife of natural language data.
Prepare fine-tuning datasets for LLMs from your labeled data. Store, explore, categorize and supervise the output of generative models. NLU & NLG design provides observable, testable and predictable LLM-powered app development.
Track data provenance
APIs & CLI
Flexible data ingestion
Bring your own NLU or LLM
Revisions, diffs, revert, cloning
Advanced user permissions
SSO / SAML
Previous intent taxonomy built for loyalty program using manual workflows and a top down approach took months to build and had very bad performance (70% F1 score, 55% accuracy)
Rebuilt entire intent taxonomy using production chat transcripts and utterances in under 2 weeks using HumanFirst Studio. The resulting model was drastically improved (94% F1 score, 89% accuracy)
accuracy in first
gain on model