Business

Machine Learning startup DataRPM accepted to Microsoft’s Seattle accelerator program

Machine Learning and analytics company DataRPM joins nine other later-stage startups in being accepted for Microsoft’s Machine Learning and Data Science Accelerator in Seattle.

Award-winning predictive analytics company DataRPM has been selected to Microsoft’s 4th generation of its prestigious Seattle Machine Learning Accelerator Program.

Ten companies were selected overall from hundreds of applicants across the United States. Apart from making giant strides in disrupting the machine learning industry, the criteria for the accelerator took into consideration startups that have received an average $5.3 million in funding and $3 million in annual recurring revenue.

DataRPM will now gain access to top business mentors, tech and marketing experts, office space and resources to help them build their company.

Microsoft’s accelerator program runs for four months and is focused on improving startup products, refining pitches, and sharpening marketing skills, as well as attracting investors and networking.

The Machine Learning and big data company out of Redwood City, CA is focused on delivering the next generation predictive maintenance solutions for the Industrial Internet of Things (IIoT).

According to IoT Agenda, “The driving philosophy behind the IIoT is that smart machines are better than humans at accurately, consistently capturing and communicating data.”

DataRPM delivers the industry’s only Cognitive Predictive Maintenance (CPdM) platform for Industrial IoT. The platform uses patent pending Meta-Learning technology, integral component of Artificial Intelligence to automate predictions of asset failures.

“By using data that connected machines provide to measure damage, wear and tear, and other indicators of operational success, unprecedented insight into machine health is changing popular methods of maintenance,” reported IoTTech News.

The automatic predictive maintenance of DataRPM is powered by its “Algorithmic survival of the fittest” model, which offers powerful insights through its API framework and identifies the key features, patterns, and anomalies from noisy data.

The company’s revolutionary offerings is what earned DataRPM its place among the 10 startups chosen for Microsoft’s accelerator program as it continues to shape the future of machine learning.

Tim Hinchliffe

The Sociable editor Tim Hinchliffe covers tech and society, with perspectives on public and private policies proposed by governments, unelected globalists, think tanks, big tech companies, defense departments, and intelligence agencies. Previously, Tim was a reporter for the Ghanaian Chronicle in West Africa and an editor at Colombia Reports in South America. These days, he is only responsible for articles he writes and publishes in his own name. tim@sociable.co

View Comments

Recent Posts

Are AI chatbots crossing the line? The risks developers need to know ahead of Valentine’s Day

AI chatbots are transforming communication, but recent headlines reveal their darker side: lawsuits over harmful content and reports…

9 hours ago

India’s digital ID architect touts DPI for govt tracking individual finances, vaccine passports

DPI systems can just as easily exclude people from participating in some aspects of society…

9 hours ago

HR execs head to Orlando for HR Management Institute event to help define the future of work 

HR has always had far-reaching responsibilities, however its focus has long been on employee retention…

4 days ago

Longview Fusion Energy Systems Highlighted as Key Contributor in Multiple FIRE Grants

Longview Fusion Energy Systems has announced its role as a key contributor to two of the…

1 week ago

As CFOs battle tough odds, accounting solutions help to drive new efficiencies 

As CFOs battle tough odds, accounting solutions help to drive new efficiencies  More than anything,…

1 week ago

An algorithmic Apple of Discord: DARPA renames Theory of Mind program to ‘Kallisti’

Could 'Kallisti' be the beginning of another Trojan Horse scenario? perspective The US Defense Advanced…

1 week ago