HumanFirst's ML-powered workflows reduce the cost and effort required to build and curate NLU training datasets.
Transform voice and text data from your customer support and sales channels into highly accurate training data for NLU to power your IVR triage & routing, analytics and agent augmentation roadmaps.
Organize intents in cascading hierarchies/taxonomies that make it possible build NLU with high coverage and accuracy, even for the long-tail customer requests.
HumanFirst allows you to easily manage thousands of intents, with millions of training phrases.
Export your training data to deploy within your own models (on DialogFlow or any other NLU provider), or use HumanFirst’s own light-weight and powerful NLU API.
HumanFirst's NLU is multilingual, supports hierarchical intents and conversational fragments.
Prior to HumanFirst, eHealth's data science and machine learning team was managing their AI training data with Excel, around ad-hoc workflows that made it almost impossible to improve coverage and accuracy of the NLU/NLP.
Centralizing their labeling and data engineering activities in HumanFirst is allowing eHealth to achieve the scale necessary to support their aggressive and innovation roadmap for call center analytics, agent augmentation and automation.
“We would never go back to doing this without HumanFirst”
Senior Data Scientist @ eHealth
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