After months of preparation, meetings, phone calls and interviews, we are excited to announce the results of our selection process for the BRIIA 2017 Fall Accelerator Program. These companies are each targeting a different industry, but all use artificial intelligence or machine learning to power their product or service. All are early stage companies – somewhere between developing their first full product and early revenue generation. Three of the companies have people attending the program from outside California. The other two were already located in the East Bay (of the San Francisco Bay Area).
The companies will soon be moving into BRIIA’s new space in time to start the Program on September 18. We couldn’t be more delighted with the professionalism of these companies and the missions that they are pursuing!
So without further delay, here are the participating companies:
Acclivity addresses a perfect-storm opportunity – the ageing of the US population, rising health care costs and shifting attitudes about the final stages of life. By coalescing service providers, patients and insurers onto a common, smart platform, and applying machine learning, intelligent decisions can be made about palliative care options and service-delivery.
datazoom aims to reduce the complexity of data integration and improve the quality of video distribution for broadcasters and media companies by analyzing sub-second video quality data in real time. Using a unique data instrumentation mechanism that enables continuous data collection and learning, they hope to improve users’ video experiences while preventing revenue loss for their media company customers.
Dotin is improving recommendation engines by going beyond the usual tracking of clicks and cookies. Their machine learning-powered service can decipher 150 personality types from one’s affinity with just 10 images, improving the accuracy of recommendation engines for ecommerce, “friend finders”, human resources (talent life cycle management)and more.
Klinche provides a cloud-based risk management and analytics platform that helps banks and owners deploy construction capital more effectively and helps contractors and suppliers get paid faster. The company uses machine learning to provide insights into expected outcomes of projects and portfolios over their lifecycles.
ThroughPut helps business supply chains run better by detecting costly bottlenecks. Their AI-powered platform discovers problems and recommends solutions 100x faster than the experts.
Congratulations to the companies and their founders on making it into the Program!!
A big thank you to Melissa Ross as well for organizing and executing the entire selections process. It’s hard to imagine how much work it took to build the process up from nothing to, in the end, having a full Cohort of really great companies, but Melissa made it happen. In the final selection process, Melissa also had some great help from three mentors from the local community – Eric Woo, Yuet Lee and Noha Elfiky – who each took a full day out of their busy schedules to hear presentations from our finalist candidates. Thank you to all! Your passion and “give first” attitudes are inspiring to us all!
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