Breinify

Breinify

Leading time-driven ai engine for predicting and acting on an individual's highly dynamic interests.

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$11.0m

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Total Funding000k
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Breinify operates as an AI-driven personalization platform, providing enterprise clients with tools to enhance consumer engagement across digital channels. The company was founded in 2015 by CEO Diane Keng and CTO Philipp Meisen. Keng, a computer engineering graduate from Santa Clara University, had an early start in entrepreneurship, launching three businesses by the age of 19 and later gaining experience as a software engineer at Apple and Symantec. Meisen holds a PhD in data science and has an extensive background in big data, machine learning, and temporal data analysis, having published numerous papers on these subjects. The idea for Breinify emerged from conversations between the co-founders about the challenges companies face in leveraging data science for personalization due to a lack of in-house expertise.

The company's core business revolves around democratizing data science for marketing teams, enabling them to create individualized customer experiences without needing a dedicated data science staff. Breinify serves consumer brands and retailers, including notable clients like BevMo!, Nestlé, and Clorox. Its business model is based on providing its AI platform as a service, with a tiered pricing structure based on the volume of API calls per month, making it accessible for various company sizes. The company has demonstrated significant growth, securing $11 million in a seed funding round in May 2021, led by Gutbrain Ventures and PBJ Capital. Reports indicate total funding has reached between $11 million and $21 million.

Breinify's platform integrates proprietary AI that combines machine learning with a temporal foundation to predict and act on an individual's dynamic interests in real-time. This technology analyzes user behavior across different online profiles to create a comprehensive, encrypted profile for each individual. Key features include dynamic layouts, content recommendations, predictive profiles, and omnichannel journey support for web, email, SMS, and apps. The platform is designed for rapid implementation, allowing clients to launch complex personalization campaigns within days. Case studies with clients like BevMo! have shown measurable returns, such as significant increases in e-commerce sales and customer engagement.

A significant milestone for the company was its selection as a TechCrunch Disrupt 2016 Battlefield startup, where it presented its vision for solving personalization challenges. CEO Diane Keng was also recognized on the Forbes 30 Under 30 list for enterprise technology in 2021, highlighting her impact on the industry.

Keywords: predictive personalization, AI marketing, customer engagement, data science, omnichannel marketing, temporal AI, e-commerce optimization, marketing automation, consumer analytics, digital experience platform

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