Regulated sectors like pharmaceuticals and medical devices must balance growth with changing regulatory requirements, patient data security, process transparency, and market competition.
In particular, there is unprecedented growth in the volume of digital content for a global audience. Companies must create, discover, manage, and secure this multilingual content and data. This multifaceted challenge requires language solutions that blend people, processes, and automation. That’s where enabling technologies play an important role to augment linguists and subject matter experts.
In the area of language automation, Welocalize Life Sciences expert teams include natural language processing (NLP) and computational linguists, data scientists, and software engineers. Our specialists develop automation solutions to increase content and data throughput while maintaining required quality levels. Machine intelligence is applied to automating workflows like project quotations and budget management. Machine intelligence is also applied to linguistic quality assessment tools to support professional translators. The business result is increased productivity and enhanced quality review cycles.
In the area of quality testing, machine learning, and artificial intelligence (AI), Welocalize Life Sciences mobilizes global talent and technology to achieve operational scale and agility.
Our core competencies include:
- Global operational expertise in delivering a professionally managed workforce of curated crowds, on-demand language resources, and specialized teams for critical content or data projects
- A flexible, scalable delivery model, with deployments for on-client premises, secured off-site facilities and testing labs, or a hybrid solution
Examples of our solutions for multilingual content and data, including high quality training data for machine learning:
- Linguistic + UX testing
- Semantic search
- Search relevance
- Content moderation
- Transcription (text, audio, visual)
- Automatic speech recognition