Glytec Appoints Coy Gupta as CTO to Boost AI in Medical Software

Apr 25, 2025
Glytec has appointed Coy Gupta as Chief Technology Officer to lead its AI and innovation strategy, enhancing its diabetes management platform.
Glytec Appoints Coy Gupta as CTO to Boost AI in Medical Software

Glytec has appointed Coy Gupta as its new Chief Technology Officer, a move aimed at enhancing the AI capabilities of its industry-leading medical software platform. Gupta, who brings over two decades of experience in enterprise software and healthcare technology, will spearhead Glytec's AI and innovation roadmap. This appointment was announced in a press release.

Gupta's role will focus on addressing the growing demand for intelligent software solutions that improve healthcare outcomes and streamline workflows. His previous leadership roles include positions at Threedium, LetsGetChecked, and BioIQ, where he achieved significant growth and profitability.

Glytec's platform, trusted by over 350 hospitals, is designed to improve diabetes management and insulin dosing. With Gupta's expertise, the company aims to further its commitment to AI-driven innovation and excellence in healthcare technology.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.