Tether launched QVAC MedPsy, a new family of medical artificial intelligence models designed to run directly on smartphones, wearables, and devices with limited processing capacity, without relying on cloud infrastructure. The launch was announced by the company’s AI Research Group.
The system challenges one of the sector’s most entrenched assumptions: that higher performance demands larger models. The 1.7 billion parameter model achieved an average score of 62.62 across seven closed medical benchmarks, surpassing Google’s MedGemma-1.5-4B-it by 11.42 points despite being less than half its size.
The 4 billion parameter version scored 70.54 on the same benchmarks, outperforming models nearly seven times larger. It also generates responses in approximately 909 tokens compared to the 2,953 of comparable systems, a reduction of 3.2x.
“With QVAC MedPsy, our goal was to improve efficiency at the model level, rather than scaling size,” stated Paolo Ardoino, CEO of Tether. Ardoino highlighted that the model enables medical reasoning to run where the data already exists, within a hospital system or on a device, without moving sensitive information through the cloud. In a market projected to surpass $500 billion by 2033, the company’s approach redefines what privacy means in artificial intelligence applied to healthcare.
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