
WibiData
WibiData provides big data applications for enterprises to deliver personalized experiences across channels..
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
$18.0m | Series B | ||
Total Funding | 000k |
USD | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | 100 % | - |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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WibiData, Inc. operated as a big data application company, providing a platform for enterprises to create personalized customer experiences. Founded in 2010 by Christophe Bisciglia, Aaron Kimball, and Garrett Wu under the name Odiago, the San Francisco-based firm aimed to help businesses harness complex user data to predict consumer behavior. The founding team possessed a strong background in big data technologies; Bisciglia had previously founded Cloudera, a major player in the Apache Hadoop ecosystem, and Kimball was Cloudera's first employee. Kimball holds a Master of Science in Computer Science from the University of Washington, complementing his extensive industry experience.
The company's core business involved licensing its software platform and providing related services. WibiData developed a technology stack built on open-source projects like Apache Hadoop, HBase, and Cassandra to manage and analyze large, complex datasets in real-time. Its platform allowed clients to unify data from various sources such as CRM systems, email marketing, and web logs to build a comprehensive, single view of each customer. This enabled businesses to deliver personalized content, targeted recommendations, and relevant search results across web, mobile, and in-store applications. One of its flagship products, WibiRetail, was adopted by clients like Neiman Marcus to translate customer data into an informed digital shopping experience. The platform featured powerful analysis libraries that allowed data scientists to perform complex analytics and deploy machine-learning models to predict user actions.
WibiData secured significant financial backing from prominent investors. The company raised a total of $20 million over two funding rounds, including a $5 million Series A in February 2012 and a $15 million Series B in May 2013. Investors included Canaan Partners, New Enterprise Associates (NEA), SV Angel, and Google's then-Chairman Eric Schmidt. Despite its promising start, the company faced challenges, leading to layoffs and a change in leadership in 2014 as it attempted to refocus on its analytics applications. WibiData ultimately ceased operations in 2015.
Keywords: big data applications, customer experience personalization, data management platform, real-time analytics, Apache Hadoop, machine learning models, WibiRetail, Christophe Bisciglia, Aaron Kimball, enterprise software, data-driven applications, consumer behavior prediction, omni-channel personalization, big data analysis, Kiji Project, data personalization, real-time recommendations, predictive analytics, entity-centric data store