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Dell Technologies is a unique family of businesses that provides the essential infrastructure for organizations to build their digital future, transform IT and protect their most important asset, information.
At INNOPLEXUS we are helping organisations move to continuous decision-making by generating broader, deeper and faster insights from structured and unstructured private and public data leveraging cutting-edge, patent-pending Artificial Intelligence, Blockchain, and advanced analytics technologies. We aim to transform batch decision making in enterprises into a empowered, inspired and faster continuum. We focus on industries that need to constantly evaluate and improve their efficiency, reduce cost and mitigate risk to keep up with the changing business environment - like global banking, life sciences, and pharmaceutical companies. In addition to strengthening research efforts, we work to help healthcare organizations leverage technologies to expedite drug development process across all stages - preclinical, clinical, regulatory and commercial. Whether a drug developer is seeking existing research, a medical researcher is searching for alternative treatments, or a practitioner is attempting to find data on a particular disease - increasing access to relevant information removes roadblocks to discovery and fuels rapid growth. Our Data as a Service (DaaS) and Continuous Analytics as a Service (CaaS) solutions are helping Fortune 500 companies drive business outcomes. We automate the collection, curation, aggregation, and analysis, of billions of data points from thousands of data sources, using machine learning, network analysis, ontologies, computer vision and entity normalization. Founded in 2015, INNOPLEXUS AG is headquartered in Eschborn Germany with offices in Pune, India, and Hoboken, USA.
UTILICASE is a Redmond, WA-based company in the Computers and Electronics sector.
Cryptic is a Brooklyn, NY-based company in the Computers and Electronics sector.
Aidéo Technologies provides software automation tools using artificial intelligence, robotics, and machine learning for the healthcare industry. Established in 2009, the company has development centers in Melbourne, Florida, Silicon Valley, and Mumbai, India. It`s flagship product, Gemini AutoCode, uses a proprietary Natural Language Processing engine and machine learning to interpret structured and unstructured clinical data. The software assigns the appropriate procedure and diagnosis codes, with no human intervention required. Manual coders can typically complete between 100-200 medical encounters per FTE during an eight hour work shift, while Aideo Technologies` automated coding solution can accurately code twelve encounters per second.