Diane Keng

Diane Keng is the co-founder and CEO of Breinify, an AI and predictive personalization platform that helps brands curate dynamic, meaningful experiences for their consumers at scale. Diane is on Forbes’ 30 Under 30 for enterprise technology and has been featured in The Wall Street Journal, HuffPost, TechCrunch, OZY, and Inc. Magazine.

Diane ran three successful businesses before she was 18 and is a noted software innovator who frequently speaks on the intersection of AI, personal data, privacy, and the future of smarter products. Prior to Breinify, she was at Apple and Symantec. She graduated with a B.S. in computer engineering from Santa Clara University.

Breinify works with retailers and consumer packaged goods brands to enable data science in marketing campaigns that secure 51% year-over-year online sales, 20 times the click rate, and six times the reaction rate.

Diane Keng states in her LinkedIn Profile:

I’m a forward-thinking pioneer hacking my way from one successful adventure to the next. I’m fueled by challenges that people tell me are impossible. The combination of my software engineering background, my marketing edge, and passion for changing the world propels me to build technology that will take the world by storm.

I’ve developed software for about 5 years and have dabbled in marketing as well.

Currently, I am the cofounder of Breinify, an artificial intelligence startup.

Breinify is a powerful personalization engine that enables brands to create personalized digital experiences at an individual level across web, e-mail, SMS and app channels. Our solution is powerful, scalable and lightweight! We work with brands like BevMo!, Schwartzkopf, Hidden Valley Ranch, and Fresh Step to bring data science and predictive personalization into marketing campaigns.

Our customers have seen quick results like 51% YoY online sales, 20x click rate, and 6x reaction rates within months of working with us. Our technology blends traditional machine learning and AI techniques with a complex temporal foundation so our engine can learn, react, and make extremely granular intelligent decisions that vary for each individual at any moment in time. Today, our AI has 100k+ distinct time-based patterns extracted to classify user behavior and our platform can be easily used with any marketing tool.