PredictionIO is a technology company.
PredictionIO has raised $3.0M across 1 funding round.
PredictionIO has raised $3.0M in total across 1 funding round.
PredictionIO was an open-source machine learning server that enabled developers to build and deploy predictive features like personalization, recommendations, and content discovery into applications.[1][2][4] It served software developers and data scientists in sectors such as e-commerce, digital content, education, and finance, solving the problem of time-consuming machine learning integration by providing a customizable, scalable stack akin to "MySQL for machine learning."[2][5] Founded in 2013 (with roots as TappingStone in 2012), the company raised $2.5M, gained traction with over 8,000 developers and 400 apps, and was acquired by Salesforce in February 2016 to enhance its Einstein AI and SalesforceIQ capabilities.[1][2][3]
Post-acquisition, PredictionIO's technology powered Salesforce applications like conference agenda builders, college dropout predictors, and banking models, before evolving into the Apache PredictionIO top-level project in 2017, democratizing ML for broader use.[3]
PredictionIO emerged from TappingStone, founded in 2012 in London by Simon Chan (CEO and co-founder with a background in building three consumer startups for social networking and mobile apps), Donald Szeto, Kenneth Chan, and Thomas Stone.[2][5] Initially offering "Machine Learning as a Service," the team—bolstered by engineers from Google, Oracle, and UC Berkeley—pivoted to an open-source model after identifying a gap in developer-friendly tools for predictive features from database content.[2][5]
By 2013, rebranded as PredictionIO and based in Walnut, California (with Palo Alto operations), it released versions like 0.7.3, attracting over 5,000 GitHub contributors and early traction through seed funding from 500 Startups, StartX, Sood Ventures, and CrunchFund.[1][2][5] Pivotal moments included doubling its developer community to 8,000 by 2016 and the Salesforce acquisition, where the founding team joined to integrate the tech into enterprise AI.[2][3]
PredictionIO rode the early 2010s explosion in big data and machine learning democratization, timing perfectly with developers seeking affordable alternatives to complex ML frameworks amid rising demand for personalization in apps.[2][5] Market forces like open-source adoption and cloud AI growth favored its model, influencing the ecosystem by inspiring projects like Apache PredictionIO (top-level status in 2017) and paving the way for accessible tools in Salesforce's Einstein platform.[3]
It accelerated ML in startups and enterprises, powering apps in e-commerce, education, and finance, and contributed to the shift toward "ML by devs for devs," reducing reliance on specialized data scientists.[1][3][5]
Apache PredictionIO endures as a foundational open-source stack, but its standalone company era ended with the 2016 Salesforce acquisition, embedding its tech into a trillion-dollar AI powerhouse.[1][2][3] Next steps likely involve deeper integration into evolving Salesforce Einstein features amid trends like generative AI and edge ML, with community-driven Apache updates sustaining developer use.[3]
As AI stacks commoditize, PredictionIO's legacy influences hybrid open/enterprise models, potentially expanding via Salesforce's ecosystem to shape no-code ML—echoing its origin as a bridge from databases to predictions, now scaled globally.[5]
PredictionIO has raised $3.0M in total across 1 funding round.
PredictionIO's investors include 9Yards Capital, Exceptional Ventures, Lunar Ventures, Uncork Capital, Alicia Navarro, Nickyl Raithatha.
PredictionIO has raised $3.0M across 1 funding round. Most recently, it raised $3.0M Seed in July 2014.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jul 1, 2014 | $3.0M Seed | 9Yards Capital, Exceptional Ventures, Lunar Ventures, Uncork Capital, Alicia Navarro, Nickyl Raithatha |