Lionbridge AI | Breaking Barriers. Building Bridges.
Providing AI training data to leading global technology companies
Typical crowdsourcing companies generally don’t support languages other than English at scale. Lionbridge has native speakers of 300+ languages working around the clock so you can get multilingual training data for machine learning quickly.
Lionbridge provides high-quality data for machine learning at scale
With over 20 years of experience as the trusted source of training data for the world’s leading tech companies, Lionbridge supports businesses large and small throughout the data annotation process.
Our crowd of highly skilled and specialized language professionals are located across the globe and available 24/7, providing access to a huge volume of data across all languages and file types.
complete ease-of-use
Automatic job distribution
Our advanced crowd system allows projects to be automatically distributed to qualified contributors to begin work immediately.
Streamlined platform and communications
Our innovative and fully-automated platform offers seamless project and crowd management to provide cost-effective pricing and uncomplicated interactions for on-time delivery.
Advanced quality check system
Our established quality assurance system includes built-in validation, worker spot-checking and a worker seniority system to ensure high-quality data.
From on-site to on-demand, we can customize our process to fulfill your specialist requirements.
Three simple ways to get high-quality data
Account Manager
Send your file to one of our personal account managers.
API Integration
Link directly with our API for high-volume data and a seamless tech approach.
Custom solutions
… Or tell us your requirements and we’ll create the data from scratch to suit your specific business needs.
“For our projects, it’s incredibly important to maintain a high level of data quality, otherwise it’s garbage in — garbage out. We used several internal tools to assess the quality of what Lionbridge provided, and the results were very good. We have confidence that we could potentially use the data for critical deep-learning projects.”
Machine Translation Retraining
We sourced over 200,000 segments in Japanese to English to train machine translation deep-learning models.
Content Summarization
We created a customized team and process to select the top three most informative comments across hundreds of forum posts.
Audio Speech Analysis
We evaluated hundreds of machine-generated speech samples to identify problematic pronunciation and errors to determine overall naturalness.