Data-centric tooling for NLU and LLMs

Generate and transform natural language data for business and artificial intelligence.

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Trusted by Large Enterprises Worldwide

"The tool that turned conversation designers, into NLU designers"
Conversation Designer, Retail, 10k+ employees

★★★★★ Capterra

Top Global
Banks
UK Online Directory
Multinational
Pharmaceutical
Large Online Retailer
Top U.S
Telco

A no-code, data-centric productivity suite for
NLU & NLG design

NLU design for Conversational AI

Increase the coverage and accuracy of your conversational AI on a continuous basis. Discover new intents and improve existing ones.

NLU design for Call & Contact Center AI

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.

NLU design for Business Intelligence

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.

NLG design for Large Language Models

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.

Let NLU inform your decisions and
accelerate your digital transformation

The Enterprise-Ready solution

No-code enviroment

Collaborative workspaces

Track data provenance

Multi-tenant

Developer-friendly
APIs & CLI

Flexible data ingestion

Bring your own NLU or LLM

Revisions, diffs, revert, cloning

Advanced user permissions

SSO / SAML

Horizontally scalable

On-prem deployment

Case Study
Woolworths Group

Problem

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)

Solution

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)

94%

production
F1 score

89%

accuracy in first
iteration

10X

productivity
gain on model
curation

Like Excel, for
NLU and LLM data.