Forming and scaling up or down a workforce is not easy. TAUS HLP enables businesses to get data work done without the hassle of an in-house workforce by providing access to a global, on-demand, 24x7 workforce formed dynamically for each project.
You know best what variations you need in your data and we know best how to provide that for you. With a relatively short throughput time, TAUS HLP Team designs the best fitting workforce for your project with ongoing support.
All tasks done on a robust and comprehensive micro-task platform which is also scalable and can be adapted to meet your specific demands. It combines NLP and human capabilities for optimal results and greater efficiency.
The kind of diversity that makes your AI model more powerful and trains your AI system with minimal bias is hard to achieve. With access to global communities including digitally underrepresented ones across seven continents, HLP workforce is as versatile as it gets.
Our HLP experts help you build robust ML systems and expand into new markets by collecting text or speech data specific to domain, language, and locale in a wide variety of settings.
Our human evaluators compare the output from one or several MT engines and score/rank them based on the given requirements.
A specifically formed team of workers edit already existing localized data, either raw MT output or coming from TMs/customer database. It can also be intention-based such as to eliminate gender pronouns.
Get your baseline work done efficiently, quickly and accurately with high-quality. We form workforces based on a wide array of criteria to provide an all-encompassing data labeling solution for all your use cases. Our annotation platform currently includes text annotation and can be extended to image and audio based on request.
Get detailed information and compare hundreds of datasets in X language pairs in a single platform without having to do extensive research
If you are not sure where to start, our data experts will guide you and design custom solutions for all your data needs.
Find the right datasets that fit with your goals, use cases, and requirements.
Find the right datasets that fit with your goals, use cases, and requirements.