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PRESS RELEASE
Data Conversion Laboratory and UNSILO Announce Partnership to Provide AI-based Tools and Services That Improve the Customer Experience and Publishing Workflow
Semantic Entity Extraction Combined With Automated Content Structure Supports Modern Technologies, Platforms, and Discovery


Fresh Meadows, NY, October 16, 2019Data Conversion Laboratory (DCL), an industry leader in structured data and content transformations, and UNSILO, a leading AI provider of NLP and machine learning solutions in the publishing industry, today announce a formal partnership to deliver AI-based tools and services to publishers. Both organizations share a history of using advances in AI, machine learning, and natural language processing (NLP) to serve some of the world’s leading global publishers.


DCL is well known for its outstanding services that transform complex content and data into structured formats. UNSILO is at the forefront of NLP and NLU (Natural Language Understanding) software development, outperforming comparable enrichment services from Google, IBM, Microsoft, and Amazon. Together, both organizations deliver normalized, structured, and semantically enriched content that improves publishers’ customer experiences and streamline publishing workflows.


“AI and NLP has changed the challenges our industry can address,” explains Jeff Wood, Chief Revenue Officer at DCL. “With deep roots in structured markup and machine learning, adding AI- and NLP-based technologies means we produce and deliver intelligent content faster and with higher accuracy rates.”


“UNSILO is continuously improving its leading technology with new language models to extract precise meaning and classify publishers’ content for superior content collections,” adds Thomas Laursen, CEO at UNSILO. “Partnering with DCL is a natural collaboration that benefits the publishing industry as a whole because our content services and solutions stem from understanding language, the systems that process it, and customer workflows”


DCL is an active member and participant of industry organizations that support the management and effective interchange of data and scholarly content such as the Center for Information-Development Management (CIDM), National Federation of Advanced Information Services (NFAIS), National Information Standards Organization (NISO), Book Industry Study Group (BISG), and Society for Scholarly Publishing (SSP). Click here to learn more about DCL’s services and solutions.


About Data Conversion Laboratory
Data Conversion Laboratory (DCL) provides data and content transformation services and solutions. Using the latest innovations in artificial intelligence, including machine learning and natural language processing, DCL helps businesses organize and structure data and content for modern technologies and platforms. With expertise across many industries including publishing, life sciences, government, manufacturing, technology and professional organizations, DCL uses its advanced technology and U.S.-based project management teams to solve the most complex conversion challenges securely, accurately and on time. DCL is the industry leader in XML content conversion, DITA conversion, S1000D conversion, SPL conversion services, and so much more. Founded in 1981, DCL was named one of EContent's Top 100 Companies in the Digital Content Industry.


About UNSILO

UNSILO is an artificial intelligence software company that develops advanced tools for text understanding and processing. UNSILO tools deliver dramatic workflow improvements by reducing processing time, while at the same time improving quality and accuracy. The UNSILO Document Enrichment service forms the basis of over 20 separate functional solutions and APIs for publishers, including identifying trending topics as they emerge, automated collections, locating precise relatedness, and now manuscript evaluation. UNSILO works with world-leading information services in research to improve discoverability across their platforms and internal publishing processes. For more information, visit: https://unsilo.ai/.


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