Everstring Large data user prediction engine won the speed of light capital

through analysis

Traditional user relationship management generally relies on Salesforce, the company's business operators to manually input customer data into the software for unified analysis and management. In the internet age, there are online marketing automatic platforms like Marketo. They provide services to customers by analyzing user portraits and conversion rates that visit the company's Web site.

Everstring want to do the third stage of development: through the whole network of users of large data analysis to create user analysis model for customers to provide intelligent user analysis and referral services.

At present, Everstring has received the 12 million dollar a round of financing by the speed of light of the United States, the Angel round to join the Grand Fund, Sequoia, IDG and investment.

"Our technical team is made up of people from Stanford Neuroscience, Dr. Ai and NASA engineers, who have been working to build high-performance, Gao-matching machine learning analysis engines over the past two years." We want to bring complex machine learning and data deconstruction analysis to companies, help them locate their users, and connect with users, "said Everstring CEO Yang Wenjie, who was also born in Stanford.

Compared to a year ago everstring in our 36 Krypton Open Day Roadshow, but also mainly for the financial sector design of the product model, but now everstring has changed a little. They are now more focused on providing wildcard services for a wide range of business areas and customers, with autonomous natural language processing (nlp,natural Language 處理), high-dimensional machine learning (hyper-dimension Machine Learning) , Knowledge Atlas, intelligent crawler (Intelligent Web publicly) and real-time cloud computing (low latency Computing) technology for customers in each industry to crawl, analyze, grade and recommend for all users of the network.

So far their business has been dominated by highly customized services, including Microsoft Office 365, Intel McAfee and Salesforce Relateiq. and Marketo passively wait for users to visit the Web site and then analyze the data patterns, eversting will continue to actively obtain the full network of online user information, and machine learning intelligence for customers to generate the ideal user model to do, the final user scoring and evaluation of the theoretical conversion rate.

"In the Internet age, users can compare services and products through search engines and other channels, and the information on these products is transparent." But for businesses, they are not able to get user information, to understand whether users can be converted into value, not to know which potential users should be their promotion, communication focus, "Everstring co-founder Wang Shu told me," We want to change this information one-way transmission, To ensure that the user's privacy is guaranteed to help enterprises to their own potential users layered, conversion rate has a coherent understanding of "."

They are about to complete the portrait of 6 million companies by the end of 2014 and plan to complete 15 million in 2015. The california-based San Mateo Company brings together talented people from Stanford, NASA engineers, Salesforce engineers and Marketo engineers, and has built research and development centers in Silicon Valley and Beijing.

This round of financing will be mainly used for the expansion of engineers and product teams, to enhance the team's service capabilities and accelerate research and development progress. In the coming time, Everstring will consider entering China, Europe, Hong Kong, Japan and other Asia-Pacific markets.