Simon Chan started Prediction.IO with a seemingly simple goal - to streamline the development of machine learning technology. PredictionIO is an open source Machine Learning Server built on top of state-of-the-art open source stack for developers and data scientists create predictive engines for any machine learning task. PredictionIO can be installed as a full machine learning stack, bundled with Apache Spark, MLlib, HBase, Spray and Elasticsearch, which simplifies and accelerates scalable machine learning infrastructure management.

Today, Simon and his team support a community of more than 8,000 developers that power over 400 apps, with Prediction.IO extending SalesforceIQ's machine learning capabilities and enhancing intelligence across their clouds. Their success was predicated on having a unique, forward-thinking solution that addressed the difficulties of developing machine learning technology. Only with the help of an equally innovative, tech-savvy patent agency was Prediction.IO able to secure the IP portfolio it needed to become part of a cutting-edge, publically traded technology company.

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Simon Chan 'Founder'

"They went above and beyond to help us write up an additional utility and design patent which was more than we had initially expected. The APA team recognized the uniqueness of our design and was able to help us apply for two more additional patents than we had expected."

Full Reference Letter


Developing IP

APA filed three patents on behalf of Simon and Prediction.IO, two of which were issued in a matter of months under the Track 1 program with very broad claims. APA's extensive experience with prior art searches, advanced technology and the processes that accompany them is why these short timeframes could be achieved without compromising the strength of the intellectual property. As the Prediction.IO community grew, it began to capture more and more attention. The company eventually caught the eye of Salesforce, a publically traded Fortune 500 organization with one of the highest valuations for cloud computing solutions providers.

Negotiations between Salesforce and Prediction.IO followed the initial statement of interest, which is where American Patent Agency's patents were truly put to the test. They were so strong and solid that they passed due diligence by a company as expansive as Salesforce in a matter of days. Not only did the intellectual property pass inspection, it also helped Simon raise the valuation of Prediction.IO during the negotiation and subsequent sale of the company to Salesforce.

Case Study  Before Salesforce Acquisition


Salesforce

Once PredictionIO's patent portfolio was subject to the needs of a global enterprise, filing under the Patent Cooperation treaty (PCT) emerged as a critical next step to block competitors and protect the community's global users. According to the World Intellectual Property Organization, "filing one international patent application under the PCT, applicants can simultaneously seek protection for an invention in 148 countries throughout the world".

APA filed an international application under PCT on behalf of Salesforce, with all claims approved within four and a half months. This ensures that the two companies can continue integrating without being hindered by their respective intellectual property portfolios.

Case Study  After Salesforce Acquisition


Issued Patents

ClientPublicationIndustryFiling to IssuanceFiling TypePatent
PredictionIO 9135559 Software 5 Months Accelerated PDF
PredictionIO 9269095 Software 7 Months Accelerated PDF

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