KodaCloud’s service consists of a network of WiFi access points that are shipped directly to customers without the need to buy additional equipment or manage inventory. Information is then collected from these access points without any human intervention and automatically optimizes and corrects network issues as needed, says Bernard Herscovici, KodaCloud Founder and CEO.
“Traditionally, information was being collected by access points and was sent to a person to be analyzed and manually fixed if needed,” Herscovici says. “What we have done is taken the people out of the equation by using the cloud to gather information, diagnose, and fix problems.”
Like any other AI system, KodaCloud is a self-learning model so as it encounters more and more issues, it will learn how to manage and fix them. Herscovici claims that KodaCloud is able to optimize a network over time and proactively look for issues to fix.
This is where KodaCloud claims to go from machine learning, to AI. Instead of just monitoring and understanding a user’s network preferences and settings, KodaCloud uses machine learning and real-time calculations combined with contextual information to automatically adjust a customer’s network.
KodaCloud touts that it removes the need to buy equipment, software licenses, or maintenance contracts and delivers and manages a WiFi network through a subscription-based model.
The company is working with 100 managed service providers and currently manages more than 500 access points.
About a year and a half ago, KodaCloud raised $10 million in a Series A round led by Comcast Ventures, Celetic House, and Voyager Capital. It expects to raise a Series B within the next six months. Based in Silicon Valley, KodaCloud now has 25 employees.