Allganize, a San Francisco, CA-based provider of NLP technology that allows enterprises to automate answering questions from a myriad of unstructured text documents, raised $10m in funding.
The round, which brought total funds raised to $15m since its founding in July 2017, was led by Atinum Investment, with participation from Stonebridge Ventures, Sumitomo Mitsui Banking Corporation and existing investors.
The company plans to use the funds to accelerate its research and development, global expansion, and increase headcount in 2021.
Led by founder and CEO Changsu Lee, Allganize uses natural language processing (NLP) to extract answers to users’ natural-language questions directly from millions of unstructured text documents without any manual preparation of training data. The technology is also able to automatically generate questions and answers from unstructured data.
Since its launch in 2017, the company has acquired over 100 enterprise customers in the US, Japan, and Korea, including SMBC, Persol, Kao, JPower, KB Securities, Hyundai Card, and Smilegate. ù