Discover the New AI Data Marketplace
Medical Record Data Annotation for Fortune 500 Company ― Innodata

Fortune 500 Customer Expands Scope of Engagement for Medical Record AI Data Annotation

NEW YORK, NY / ACCESSWIRE / January 12, 2022 / Innodata Inc. (NASDAQ:INOD), a leading data engineering company, today announced that a Fortune 500 insurance company has expanded its scope of services with Innodata to support its medical record predictive model development. The expansion adds approximately $700 thousand of anticipated one-time revenue to the revenue estimates previously announced on September 15, 2021 of approximately $3 million of one-time revenue and $800 thousand per year of ongoing annual revenue.

“This expansion further validates our approach to creating high-quality AI training data from medical records,” said Jack Abuhoff, Innodata’s Chief Executive Officer. “By combining our data annotation platform’s auto-tagging intelligence and various proprietary AI models with our Synodex medical data extraction platform, we built a unique platform for creating large volumes of high-quality medical record AI training data that meets stringent information security protocols and HIPAA requirements. We anticipate that we can use this new platform to help a range of companies focused on using AI to analyze, organize, and share medical record data.”

Learn more about Innodata’s insurance offerings here.

About Innodata

Innodata (NASDAQ:INOD) is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,500 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI. Visit www.innodata.com to learn more.

In Other News

follow us

(NASDAQ: INOD) Innodata is a leading data engineering company. Prestigious companies across the globe turn to Innodata for help with their biggest data challenges. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of over 3,000 subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of digital data and ubiquitous AI.

About

Contact

© 2022 All rights reserved