human preference intelligence
for artificial intelligence
humanizing the digital shopping experience
sensory-preference matching people to products they love
via mobile, voice and web based 1 to 1 human interactions
ai personalization on steroids
imagine voice-activated, mobile shopping experiences
"Alexa, I need a pair of black pants".
"Siri, I need a dress to wear to the smith wedding".
01 / ai + ml
Build smarter apps. Prefeye serves as the foundational building block to build new, proprietary AI and Machine Learning applications for retailers and brands. Prefeye springboards new AI applications, enabling tech teams to build "smarter apps" on top of Prefeye's patented sensory attribute processing algorithms. Prefeye algorithms are interactive to both product and human, foundational to enabling new intuitive, human like AI + ML business solution applications.
02 / deep apparel knowledge + expertise
Out of the box retail and apparel product expertise. No more spending months training tech teams to understand the business of retail or the how and why a customer makes the decision to purchase an apparel product. Prefeye knowledge base leverages millions and millions of customer and product data points into retailer specific business intelligence on which to build AI solutions.
03 / synthesize ai human preference
Prefeye simulates individual, human-like sensory experiences and sensations by synthesizing a retailers product and customer data into millions of unique, multidimensional, preferential based sensory inputs and outputs.
Prefeye sensory processes each retailers unstructured data to interact, recommend and/or predict in the form of 1 to 1 experiences with each customer based on preferential fit, look and feel factors.
patented human preference intelligence
simulating millions of data points into human-like, multi-dimensional sensory experiences
for 1 to 1 personalization + ai development
100's of brands
millions of individual product sensory profiles
millions of individual human
1 to1 sensory based personalization
just one of many human preference intelligence applications
*preference shop 100's of brands
*sensory profiled by 1000's of data points
built by apparel + tech experts
Cynthia knew there was a better way to digitally understand the sensory preferences of individual shoppers from years of designing & building apparel products for top U.S. retailers including an 8-year stint as a Nordstrom Design Director.
Cameron, an MIT grad working on Bing at Microsoft was exploring entrepreneurial opportunities when Cameron responded to a
software developer ad Cynthia posted on Craigslist. Four years and many iterations and A/B tests later...
Prefeye Ai is ready to rock digital shopping!
Humanize digital shopping!
Cross the sensory chasm between the physical and digital worlds.
Preference match people to products they LOVE. Through the filter of individual human preference.
Disrupting Forever How Humans Shop.
Our tech stack includes a live demo featuring the core of our patented technology. A java-powered ETL pipeline acquires and processes hundreds of brands with tens of thousands of products to produce millions of individual product sensory profiles. Our node.js frontend provides a custom and unique image map which allows users to self-curate with only a few clicks, instantly producing user-specific sensory profiles. The node.js api layer supports the frontend's various features, while also supplying entry points for custom integration with our recommendation engine. The platform uses plenty of straightforward, open-source components, keeping a fairly simple approach to showcase the raw power of our underlying algorithms.
yes, let's connect
want ai personalization on steroids?
want voice activated, mobile 1 to 1 sensory experiences?
let us know how we can help
After years of designing and building products globally for dozens of retailers and her own companies, Cynthia Holcomb knew there was a better way to shop online for clothes.
Of course, Cynthia knew! After all, for years Cynthia spent her days engineering 1000's of products to match the sensory preferences of each retailer or brand's intended customer. Resulting in "Wow I love this dress" or "Wow these pants are perfect for me".
Over time, Cynthia came to understand, what mysterious force drove the decision to purchase? Individual human preference. Which in turn, inspired Cynthia to spend days and nights and years developing and testing "human to product... preference matching algorithms", which of course became Prefeye's patent-pending technology.