Infinia ML, Inc.
Founded by Lawrence Carin, vice provost for research and professor of electrical and computer engineering, Infinia ML, Inc. is artificial intelligence company that has built machine learning algorithms to help businesses and organizations make sense of big data.
Infinia ML uses advanced machine learning techniques to solve business challenges for Fortune 500 companies. Our algorithms unlock the hidden potential of our clients’ data, helping them automate complex processes, enhance employee efficiency, and pioneer transformational breakthroughs. Led by serial AI entrepreneur Robbie Allen and computer science luminary Lawrence Carin, our team’s combined accomplishments include over 500 published papers, 30 granted patents, 11 authored or co-authored books, and five PhDs.
“The company is, in many ways, the translation of the work we’ve been doing at Duke for many years on machine learning,” Carin said in an interview with the Triangle Business Journal.
Success Story
Infinia ML Wins “Best Machine Learning Company” Award
DURHAM, N.C., June 26, 2018 /PRNewswire/ — Infinia ML, an advanced machine learning company that delivers transformative automation solutions and predictive analytics to enterprise businesses, today announced that it has been selected as the winner of the “Best Machine Learning Company” award from AI Breakthrough, an independent organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.
“We’re honored by this award, which affirms our focus on making real business impact with machine learning,” said Robbie Allen, CEO at Infinia ML. “We’re especially grateful to our clients, whose data and domain expertise make our work possible. Their trust empowers us to reduce costs, increase efficiency, and achieve new breakthroughs.”
Robbie Allen To Lead Cutting-Edge Machine Learning Company
Founding CEO of Automated Insights to Strengthen Operations, Accelerate Growth, and Oversee Hiring Initiative to Meet Enormous Business Demand
[Originally published on PR Newswire]
DURHAM, N.C., Nov. 29, 2017 /PRNewswire/ — Infinia ML, an advanced machine learning company that delivers transformative automation solutions and predictive analytics to Fortune 500 businesses, announced today the appointment of Robbie Allen as Chief Executive Officer. Allen rounds out a founding team of AI experts with experience across a range of industries including healthcare, security, and business process automation. Leveraging top machine learning luminary Dr. Lawrence Carin, the Duke University Vice Provost for Research and Professor of Electrical and Computer Engineering, and $10 million in funding from noted private equity firm Carrick Capital Partners, Allen will accelerate the business with aggressive hiring plans.
“Due to the global shortage of people that understand complex machine learning techniques such as deep learning, nearly every large enterprise has a backlog of opportunity for our automation and predictive solutions,” said Allen. “Most top machine learning teams are part of west coast companies like Google, Microsoft, and Amazon. Infinia ML provides a new option for technical talent looking to work with leading ML experts in an affordable area with a high quality of living.”
Duke professor’s artificial intelligence startup receives $10 million investment
[The Chronical, By | 09/24/2017]
A new startup led by a Duke professor recently received $10 million to develop practical applications in the growing field of machine learning.
Lawrence Carin, vice provost for research and professor of electrical and computer engineering, received the funding from investment firm Carrick Capital Partners in September. Unicorn ML—the company’s temporary name—will be dedicated to developing practical applications of machine learning, a subfield of artificial intelligence.
“I was not dreaming of starting a company,” Carin said. “But the world has told me I have to have a company because the work that we’re doing is increasingly valued by people who see practical applications for it.”
Carin said machine learning involves teaching machines to learn relationships and recognize patterns in data. Having worked on machine learning at Duke for 15 years, he noted that companies have asked his research team to use the technology for specific applications.