Headquartered in London, England, Pixoneye emerged out of the need to protect end users’ data and went on to establish its name as a leading AI building company. The vision of Pixoneye revolves around the idea of allowing people to share as low data as possible with the brands while getting as much from their brands as possible.
The one of a kind company focuses on building technology that learns, trains, and predicts entirely on device in order to minimize privacy concerns and increase security and privacy of data. Its cutting-edge and state-of-the-art technology allows it to analyze the users’ data on the device itself. This way, it never requires the users to share their data on the cloud and by doing so, minimizes the use of their data as currency between brands.
Recognized amongst “The 10 Most Innovative Cognitive Solution Providers, 2018” by Insights Success, herein we look at some of the key highlighted points of Pixoneye and its road towards success.
Solutions that Shouts out Efficiency
Pixoneye enable brands to access first party data at extremely high accuracy whilst protecting the end users by keeping all their data ringfenced and secured on their own device.
“In this ever-lasting battle between data privacy and data appetite, we want to make sure that we utilize the capabilities of our connected devices to avoid having data flowing freely on the cloud” mentions the CTO of Pixoneye, Nadav Israel. The products of the company allow brands to engage with their end users on a very personal level without any privacy risks. Pixoneye’s main product lies in its understanding of each user so as to enable brands to increase the lifetime values of their customers.
Nadav adds “We know exactly what the users need without knowing who those users are.”
The Ability to Analyze Personal Images
Incepting in 2014, Pixoneye chose to start with the most sensitive of data sets – personal images. Personal Images require the most attentions to privacy and most complex computing capabilities to analyze privately and securely on the device.
Pixoneye discovered that the personal photo gallery is by far the most amazing data set that end users possess. Its IP lays in its ability to analyze a photo gallery as a key to user understanding; Ofri Ben-Porat, CEO of Pixoneye, sums it up perfectly by saying “…we don’t care if there are pictures of dogs in your gallery rather do we care if you are a dog owner.”
Pixoneye doesn’t care what’s in the photo; it simply analyzes those photos to identify what it speaks about the person.
A Long yet Rewarding Journey
With Pixoneye being a deep tech company, it had to initially spend the first couple of years researching and developing, without having the ability to truly sell the product (or even have a product at all). There were far too many challenges revolving across the company, including the expensiveness of researchers and the constant struggle of keeping the investors hanging on to a vision without a proper product or a big client base.
Although, Pixoneye goes above and beyond to analyze personal photo galleries in the most secured and private manner, it is still challenging for the company to educate brands and end-users to warm them up to this new data set.
A Combination of Experience Resulting in the Overall Success
The two Co-founders of Pixoneye, Nadav Israel (CTO) and Ofri BenPorat (CEO), come from two completely contrasting backgrounds and bring-in different set of skills to the table, thereby eradicating any chances of overlapping. Nadav boasts over 15 years of experience in the computer vision and ML industry. He has been responsible for a lot of common tech advancements that we use today, including facial recognition for Samsung and gesture recognition for smart Tvs.
To the contrary, Ofri comes from a completely opposite side of the industry. He holds a rich background in marketing and running his own ventures, like Bars, Restaurants, Mobile tourist agency, and a delivery app. Ofri has even served as the senior marketing advisor to the minister of tourism in Israel, where his passion for the mobile and digital world pushed him to join Nadav.
According to the company, “At Pixoneye, Nadav doesn’t speak to people and Ofri doesn’t speak to computers and they live a beautiful frictionless life together. The combination of the two allows us to take a real stake at the very difficult process of commercializing AI on a B2B level.”
Paving a Future that brings Effective Results
Today, Pixoneye’s data has already reached 90% accuracy, thereby increasing the profitability and engagement for the brands by a huge margin. It has allowed users to ask for less data and give a lot more to their end users.
“We see our future leading the On-device developments. With the ability of mobile devices to run more and more complex computer processes we believe that we can achieve a world where every users’ intention is met with an intelligent interaction completely on device and without ever needing to give up their data,” Ofri concludes.