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.
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Innodata Announces New AI Data Annotation Capabilities for Patient Medical Records and Significant New Customer Acquisition
Innodata expands its AI data annotation capabilities to include patient medical records and wins contract with a Fortune 500 insurance company to support its predictive model development and business analytics.
