Case Study: True Lark achieves 90% of its AI team's workday back and accelerates chatbot development with CloudFactory

Building a better chatbot with text annotation services

True Lark, an AI communications platform that built the virtual business assistant Sasha, needed large volumes of labeled conversational data to move beyond shallow, one- or two-turn chatbot interactions. They engaged CloudFactory, using its Natural Language Processing managed workforce services, to handle the time-consuming task of analyzing and tagging customer conversations so True Lark’s team could focus on model innovation.

CloudFactory trained a managed team to annotate and categorize text at scale—labeling nouns, appointment times, staff/service mentions, and intent (propose/accept/reject/conditional requests)—so True Lark could rapidly train and iterate Sasha. The partnership freed up 90% of the AI team’s workday, accelerated model development and productization, and provided a sustainable, scalable labeling operation that produced measurable improvements in testing and training.

True Lark

Srivatsan Laxman

Founder and CEO