Datasaur builds data labeling tools for Natural Language Processing. At present, companies use or need to rebuild inefficient tools that are error prone and subject to human bias. Crowd-sourced solutions are unable to handle sensitive data that is involved in major industries such as healthcare and finance. Datasaur solves these challenges through creating an optimized, fully customizable interface with auto-correct, auto-suggest, and auto-complete labeling to improve efficiency and quality. Moreover, their on premise and on cloud solutions caters to even the highest order of privacy needs. Their customers include large private banks, AI research centers combating fake news, and top universities. Their solution is 70% faster than the market standard. Founder Ivan Lee studied computer science at Stanford, was a PM at Apple, and sold his first startup to Yahoo. The team has worked together before and won international coding competitions together. Initialized Capital led their seed round.

Recent News