Accelerator Entry: Google for Startups Cloud Program
Due partly to the cloud space we'll be needing for this project, we were accepted into the Google for Startups Cloud Program and received over $200,000 in cloud credits.
Due partly to the cloud space we'll be needing for this project, we were accepted into the Google for Startups Cloud Program and received over $200,000 in cloud credits.
We have released new versions of our Resident App, the phone Apps, as well as the firmware which incorporated the technology.
We have developed a 2nd generation TRACE sensor, a cross platform app for data collection, and designed a compact charger for TRACE. The new devices are 40% smaller than Gen 1, improved signal processing, better wireless transmission, and are more configurable.
About We formed TRACE Biometrics to commercialize our wearable OVS Platform. TRACE Biometrics provides a remote patient monitoring solution that empowers clinicians and caregivers to better manage orthostatic hypotension, a condition that affects 1 in 3 older adults and poses a significant risk for fall-related injuries. Our patented wearable device offers 6 categories of biometrics, providing unprecedented insights into patient health. Are you ready to harness next-generation remote monitoring to elevate patient outcomes and drive down healthcare costs? Reach out to us for a demo! Website: https://www.linkedin.com/company/trace-biometrics?trk=public_profile_topcard-current-company ; https://www.trace.bio
We have commercialized a new version of our Speck light exposure sensor. The new version is functionally similar to the previous version but has been modified for increased field robustness (e.g., more resilient power supply, stronger case, etc) and for manufacturing scalability. Source: Blue Iris Labs Product Page
New versions of the Druid Benchmark app are made on a continuous basis. Improvements made since the project started on August 16, 2023, include changes to the user interface, modifications in how the impairment scores are presented and interpreted for the user, and anti-cheating measures. Source: https://apps.apple.com/us/app/druidapp/id1107595146
The team at Kinto deployed the two main generative AI features to their production system where coaches can view strain assessment data and resource recommendations. The team also created a repeatable framework for extracting and anonymizing caregiver data sets from the Kinto platform on demand to provide training data sets for further testing and development of generative AI features at scale.