Amsterdam, June 8, 2022 – TAUS, a leading provider of human-powered language data for AI solutions, announced today that it has been listed as a Representative Vendor in the Gartner Market Guide for AI-Enabled Translation Services 2022 report.
The report describes AI-Enabled Translation as an emerging landscape that can be leveraged to further automate and augment translation processes. Gartner presents the guide as an overview of this new class of services for application leaders.
TAUS is listed as one of the seventeen representative vendors with a focus on the wide array of language data solutions offered through the TAUS HLP Platform, TAUS Data Marketplace, TAUS DeMT™, and TAUS in-house NLP expertise.
“Our mission today is to empower global enterprises and their service and technology providers with data solutions that help them to communicate in all languages, faster, better, and more efficiently,” says Jaap van der Meer, CEO of TAUS. “We are honored to be recognized for the work we do and to be listed by Gartner among the seventeen vendors. Being identified by Gartner as a Representative Vendor in the AI-Enabled Translation Services Market Guide reinforces the value we offer to our customers in line with our mission to help them achieve optimum results through better and human-powered data in their AI, ML, and MT applications.”
“The extent of what can be achieved with available AI technologies has evolved considerably over the last few years,” says Dace Dzeguze, COO of TAUS. “TAUS capabilities have also evolved along with the technology. TAUS assists enterprises by providing language datasets and data services for AI and machine learning training applications. The offering covers ready-to-use training datasets, text or speech data collection, generation, and annotation through mobilizing communities of qualified contributors around the world. It also includes MT customization and evaluation for data-enhanced optimal performance and engine comparison, and NLP services such as data cleaning, anonymization, clustering, crawling, domain adaptation and research.”