DataRobot

DataRobot is a compny that sells software thatwhich helps companies to develop and deploy in-house AI models. Machine learning allows software to identify patterns and make predictions for business problems without the need for explicit programming. DataRobot aims to automate many aspects of the traditional job of data scientists. For example, Lenovo, which makes laptops used DataRobot to estimate retail demand in Brazil and United Airlines used it to predict which passengers might gate-check bags. The Philadelphia 76ers used their system to improve modeling for season-ticket renewals. The company has customers in finance, healthcare, sports, retail, marketing and agriculture industries.

DataRobot is a company that participated in the Class 21 - Cloud 2013 Winter cohort of Techstars. DataRobot raised a $206 million Series E funding round that was led by Sapphire Ventures. The funding was for expanding the business.

DataRobot helps to accelerate business impact using AI. With DataRobot’s enterprise AI platform and automated decision intelligence, key stakeholders can collaborate in extracting business value from data. This ranges from data scientists, business analysts, the IT team responsible for governance and compliance, to the business executives and analytics leaders who derive business impact from the deployed models.

DataBot bought ParallelM in June 2019 and released a product that monitors a company’s models for inconsistencies or biases.

In 2013, DataRobot invented automated machine learning and an entirely new category of software as a result. Since then, the company has incorporated more than 1.4 million hours of engineering innovation and data science best practices into this market-leading product. Unlike other tools that provide limited automation for the complex journey from raw data to return on investment, its Automated Machine Learning product supports all of the steps needed to prepare, build, deploy, monitor, and maintain powerful AI applications at enterprise scale.

DataRobot’s Automated Machine Learning product accelerates the productivity of data science team, while increasing capacity for AI by empowering existing analysts to become citizen data scientists. This enables organizations to open the floodgates to innovation and start their intelligence revolution.