Beehive AI Announces Seed Round and General Availability of AI Platform

AI For Business


Beehive AI, the world’s first purpose-built AI platform dedicated to analyzing unstructured customer data, emerged today from stealth and announced oversubscription. $5.1 million Seeds round. Since 2016, AI platforms have been stealthily developed using models trained on proprietary unstructured data provided by many of the world’s largest enterprise companies. Using this data, Beehive AI has developed a platform that enables businesses to analyze, segment, and act on insights derived from unstructured data.

The oversubscribed round was led by Valley Capital Partners, a leading boutique firm specializing in leading seed and Series A investments in technology companies building enterprise-focused solutions. The round included participation by prominent late-stage strategic partners representing some of the world’s largest brands and companies using the platform. The company also announced the following personnel appointments: Mitchell CoccoGeneral Partner of Valley Capital Partners and a member of its Board of Directors.

Today, businesses are making consumer decisions from indirect, low-fidelity signals such as click tracking and behavioral analytics, or from open-ended responses analyzed by generic large-scale language models that lack the specificity of business context. Guess the desire of Rather than actively responding to consumer needs, companies often react to past consumer behavior. Beehive AI has developed groundbreaking technology that provides an end-to-end customizable AI platform for consumer research with unprecedented accuracy, relevance and scale. By analyzing qualitative, open-ended data using contextual language models trained on company-specific data, Beehive AI enables businesses to take a forward-thinking approach and understand individual consumer behavior. help you understand the factors that drive

“The future of consumer research will combine the worlds of scale and speed of mass market research with the specificity and richness of conversations with individual consumers. It’s a combination,” said the professor. Jonathan LevafProfessor of Marketing at Stanford GSB and Advisor to the company.

Beehive AI’s platform works seamlessly across languages, countries and cultures. To date, we have trained over 10,000 specialized AI models in over 30 languages ​​and processed data from over 20 countries. With this platform, customers can upload their own existing data collected on any platform (e.g. Qualtrics, Medallia, Survey Monkey, etc.) or open-ended surveys designed to elicit rich and nuanced feedback from customers. You can even start an AI-designed survey that asks formula questions. We then perform customized analysis of the data and enable our clients to explore insights using intuitively programmable dashboards.

“Recently, large-scale language models like GPT-4 have made significant progress. By doing so, we will take this advancement to the next level,” said Shai Deljo, CEO of Beehive AI. “The quality and specificity of these custom models are unmatched, enabling companies to extract rich and relevant insights from even the most complex unstructured data.”

“Generative AI is a hot topic across Silicon Valley, and at Valley Capital Partners, we have invested in and recognized a number of great founders who are building in this space. , it has become very clear how advanced the Beehive AI platform is compared to other platforms on the market.” Mitchell Cocco, General Partner of Valley Capital Partners. “From the size and scale of our development partners, to the inbound interest from new customers worldwide through word-of-mouth referrals, Beehive AI is perhaps the single most specialized AI company on the market today. We are very fortunate to have been chosen as partners in our exit from , and are excited to bring many late-stage partners to help accelerate their growth.”

The company, used by some of the world’s most iconic brands, has announced the closing of a new funding round to support its rapid growth.

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