Impacting society, creating change
Technologies developed at Ohio State are changing the world. Learn more about the startups that are currently a part of the Ohio State portfolio or download our printable catalog (as of June 30, 2019).
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AwareAbility Technologies is bringing to market IoT sensors that are durable, able to function in harsh environments, and have a 10+ year power life. The company's tracking tags help businesses analyze data from almost anywhere in the physical world. This enables them to overcome barriers by gathering and processing data in austere environments through three core technologies: radiological power technologies, Internet of Things-based data collection and machine learning analytics.
AccuFiber Technologies electrospins core-shell, nanofiber-based, oxygen sensors and targets commercially viable products based on this technology. Compared to conventional or optical-based sensors, the company’s nanofiber-based sensors have several advantages including greater sensitivity, lower manufacturing costs and real-time detection of even low levels of oxygen. The company is integrating its nanofiber-based oxygen sensor into a wide range of products, with initial efforts focused on military applications.
RNA‐Seq provides comprehensive transcriptome profiling and allows for both mapping and quantifying transcriptome signatures associated with diseases.
Spirosure is developing devices using novel, breath-based analysis technology to diagnose and manage respiratory diseases. The company's breath-analysis devices focus on providing cost-effective, non-invasive products to diagnose and manage chronic respiratory disease, such as asthma, COPD and chronic pulmonary hypertension. The company uses novel sensors, proprietary algorithms and consumer technology, enabling medical researchers to detect biomarkers in a patient's breath to diagnose and monitor respiratory conditions.
SpineDynX is a medical device company commercializing the clinical lumbar motion monitor (cLMM). The cLMM enables improved outcomes for spine treatment at the point of care by providing objective and actionable data. Currently, there is a lack of objective data to accurately diagnose, track and treat low back pain. The cLMM uses an extensive patient database to assess a patient’s back in motion and accurately determine the extent and nature of impairment, as well as current re-injury risk.