A collaboration with Dimension NXG leverages the efficiency of Ambient Scientific’s GPX-10 processor to bring offline, privacy-focused safety and health monitoring to women in India.NUREMBERG, Germany, March 10, 2026 /PRNewswire/ — Today, on International Women’s Day and at Embedded World, Ambient Scientific has announced its partnership with Dimension NXG to power ‘MAI‘, a pioneering new AI wearable for women’s health and safety. Utilising Ambient Scientific’s low-power GPX-10 processor, the device boasts up to two-weeks of battery life.
Ambient Scientific powers new ‘MAI’ women’s safety wearable, enabling always-on AI and two-week battery life.
MAI is a women-first health companion with a built-in safety layer. It tracks everyday vitals like heart rate and SpO₂ (and can support blood-pressure insights based on sensing configuration), turning daily signals into actionable health awareness. Over time, MAI builds a personalized baseline, so it can flag meaningful deviations early, not just raw numbers, and guide day-to-day, lifestyle-based healing through simple habits like movement, breathwork, sleep, and nutrition.In critical moments, MAI can act as a safety sentinel, detecting falls, SOS gestures, and opt-in stress cues to trigger rapid alerts. Importantly, MAI is designed with on-device processing so sensitive signals can stay private by default, putting women in control of what gets shared and when. MAI also surfaces early risk insights for conditions like PCOS/PCOD by spotting trends that commonly go unnoticed until clinical intervention is needed, helping women seek guidance sooner and track progress over time.“With the GPX-10, we have broken traditional power barriers, allowing Dimension NXG to run sophisticated, multimodal AI models locally and continuously. This partnership is a testament to how Ambient Scientific is making sustainable, always-on intelligence a reality for everyone,” said GP Singh, CEO of Ambient Scientific.A processor that runs AI algorithms continuously at the edge for weeks. To make the Mai wearable viable for its target market, Dimension NXG required a processor capable of running multiple sensor fusion and audio classification models 24/7, without drawing too much power to necessitate daily charging or constant smartphone connectivity.“MAI is built to be a health companion women can rely on in the real world, not just in ideal network conditions,” said Abhishek Tomar, CTO of Dimension NXG AjnaLens. “Ambient Scientific’s processor gave us the performance headroom to run intelligence locally on the wearable, with low latency and privacy by default, while still achieving up to 14 days of battery life on a 180mAh battery.”Traditional processors move data back and forth between memory and the processor, known as the Von Neumann architecture. The GPX-10’s efficiency stems from its unique DigAn™ architecture, which uses both digital and analog components. The GPX-10 performs matrix multiplication, the core mathematical operations used in AI algorithms, directly within custom memory arrays. Using a massive parallel multi-core design, the chip can execute 512 billion operations per second (GOPS) while consuming a fraction of the power of its digital-only competitors.By leveraging Ambient Scientific’s GPX-10, the Mai wearable achieves a breakthrough 10-to-14 day battery while running complex AI algorithms continuously on the device. This extended battery life enables the device to operate in regions of India where consistent access to electricity cannot be guaranteed.Furthermore, because the GPX-10 handles data processing locally on the device, with only essential data that the user agrees to share being sent to the cloud, the wearable remains secure and fully functional in environments with poor network coverage – ensuring a reliable safety lifeline.Launch and initial field trials Following the announcement today on International Women’s Day, the Mai wearable will enter its first major field trial phase on March 19th, 2026. This initial batch will see thousands of devices deployed to pre-order customers and trial participants across India. Dimension NXG then plans to scale to over 10,000 units by the end of the year as the product attains further medical-grade certifications.Attendees at Embedded World 2026 in Nuremberg can visit Ambient Scientific at Hall 1, Booth 430 to see the technology powering the Mai wearable and learn more about the GPX-10.About Ambient Scientific Ambient Scientific is a fabless semiconductor company pioneering AI native compute architecture DigAn®, combining the efficiency of analog with the scalability of digital to bring breakthrough AI performance with sustained efficiency to an entire roadmap of processors from Edge to Cloud. Their technology stack includes CubicCore compute, SenseMesh multimodal fusion and Nebula toolchains which redefine how compute, memory, sensing fusion and software are co-designed for energy aware intelligence.Headquartered in Santa Clara, with a growing global footprint, Ambient Scientific is on a mission to deliver sustainable intelligence to every device. For more information, visit www.ambientscientific.ai.About Dimension NXG Dimension NXG is an India-based deeptech AI company building smart wearables, AI glasses, and next-generation healthcare solutions for both B2B and B2C markets. The company develops disease-specific foundation models, tuned across specialities such as dermatology, ophthalmology, neurology, and oncology to convert longitudinal biometrics, lifestyle context, and medical history into actionable insights for prevention, screening, and care workflows. Dimension NXG also delivers AI- and XR-powered training and upskilling platforms that help institutions and frontline teams adopt new technologies and standardize best practices.With end-to-end capability across hardware, firmware, and applied AI, the company turns cutting-edge research into deployable, speciality-focused systems across multiple domains. For more information, visit www.dimensionnxg.com.Photo – https://mma.prnewswire.com/media/2929391/Ambient_Scientific.jpgSOURCE Ambient Scientific
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