We officially turned two years old on September 15th, 2019! To celebrate our second year, we partook in a few classic arcade games and brews at Boxcar in Durham. Hidden talents were revealed, pizza was shared, and we raised a glass to our time at Infinia.
Here are a few photos that highlight birthday #2:
Thank you to all of the Infinians who make coming to work every day a delight.
CARY, N.C., September 12, 2019 – Infinia ML, a Durham-based machine learning company, was proud to be recognized by Triangle Business Journal as one of the “Best Places to Work” in the Triangle for the second year running. Companies are chosen based on independent survey data submitted by their employees. TBJ selects companies that exemplify outstanding dedication to their culture, employee benefits, and providing an enjoyable place work.
Infinia ML has made great strides in the past year to continuously provide a celebrated work environment. CEO Robbie Allen focuses on building a company culture that invests in each employee’s day-to-day as well as their future.
Office perks include Yoga Wednesdays, a well-stocked kitchen, and incentives for being active through the company’s Fitbit program. Additionally, Infinia supports employee growth by providing an education stipend for continued learning as well as time to explore individual research interests.
The team at Infinia ML was proud to join other companies from around the Triangle that share their passion for productive, forward-thinking work environments. “The Triangle continues to be a fantastic place to work,” said Allen, “and we’ll keep doing our part to raise the bar higher every year.”
Our team recently enjoyed a soccer night out. After learning a few basics and enjoying some family fun, we cheered on the pros from the North Carolina Football Club on their way to a 4-2 win over Atlanta.
Check out the video, then scroll down for some photographic highlights, all made by NCFC. Thanks, y’all!
We’re pleased to announce that Infinia ML is SOC 2 Type I compliant.
The SOC (Service Organization Control) 2 audit process is a rigorous examination of policy, process, infrastructure, and people. The audit standards are defined by the American Institute of CPAs and executed by an external, independent auditor. SOC 2 is considered a core security standard for data confidentiality and information security.
As a company charged with handling sensitive data, we recognize that our work is built on trust. Customers can rest assured that Infinia ML is committed to maintaining a secure computing environment and providing services in a highly confidential manner.
Our SOC 2 compliance attestation is the first in a series of compliance objectives that include HIPAA, GDPR, and others.
Infinia ML is excited to demonstrate to our current and future clients that we are dedicated and faithful stewards of data confidentiality and security.
Infinia ML’s SOC 2 Type I attestation has been issued in the Security and Confidentiality Trusted Services Criteria.
Company Wins “Best Machine Learning Company” Award for Second Consecutive Year and “Most Innovative Machine Learning Solutions Provider for Business”
DURHAM, N.C., June 26, 2019 — Infinia ML, an advanced machine learning company, has won two machine learning honors for 2019: the Acquisition International Global Excellence Award for Most Innovative Machine Learning Solutions Provider for Business as well as the AI Breakthrough Award for Best Machine Learning Company, which the company also won in 2018.
“Infinia ML combines a focus on business value with a passion for cutting-edge research, practical development, and real-world deployment. We take a holistic approach focused on delivering business impact,” said Robbie Allen, CEO of Infinia ML. “We are grateful to receive these honors for our work in machine learning, and thankful to our clients for making our work possible.”
The AI Breakthrough Awards honor excellence and recognize the innovation, hard work and success in a range of AI and machine learning related categories, including AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry specific AI applications and many more. This year’s program attracted more than 2,500 nominations from over 15 different countries throughout the world.
“Infinia ML’s team represents some of the world’s most renowned machine learning experts. They continue to drive value for their customers and also advance the overall machine learning market,” said James Johnson, Managing Director at AI Breakthrough. “We are thrilled to recognize Infinia ML in this year’s award program and congratulate the team on their well-deserved back-to-back AI Breakthrough Awards,” he added.
The Global Excellence Awards from Acquisitions International Magazine showcase the companies and individuals committed to innovation, business growth, and providing the very best products and services to clients across a wide range of industries. Awards are judged purely on merit by an in-house team with all potential winners assessed against multiple relevant criteria, including company performance over a given period of time, expertise within the industry, sector or region, previous accolades won, and client testimonials or recommendations.
“Infinia ML have this year been recognized on an international level in our 2019 Global Excellence Awards, owing to their continued distinction in providing outstanding end-to-end machine learning solutions to a variety of businesses,” said Features Executive Chelsea Dytham. “Clients can rest assured that Infinia ML will be a reliable partner in the automation of business processes, truly proving themselves to be leaders in their field and demonstrating a continued commitment to innovation within the AI and Deep Learning industry.”
DURHAM, N.C., June 10, 2019 —Infinia ML, an advanced machine learning company, announced today that members of its data science team collectively published six papers at the Thirty-sixth International Conference on Machine Learning, which takes place this week in Long Beach, California.
ICML, which attracts research from institutions like Google, Stanford, Microsoft, MIT, and Facebook, is widely considered one of the world’s most prestigious machine learning gatherings. This year the conference accepted 774 papers, just 22.6% of the total submitted.
“Having three members of the Infinia ML team contribute six papers to ICML sets us apart from others of our size and stage,” said Infinia ML CEO Robbie Allen. “The accomplishments of our data scientists at ICML further prove that we can address the most advanced data challenges.”
Infinia ML Chief Scientist Larry Carin, one of the world’s most widely published machine learning researchers, is a co-author on five papers, covering topics from reinforcement learning to generative adversarial networks. Infinia ML Research Scientist Hongteng Xu is the lead author on a paper about a joint learning framework for graph matching and node embedding problems, which Carin also co-authored. Infinia ML Data Scientist Jun Liu co-authored a sixth paper on non-negative matrix factorization, a tool widely used in machine learning and data mining.
“We’re continuing to build an academic foundation that will help move the business world forward,” said Carin. “The best part is that the application of machine learning to business is just getting started.”
About Infinia ML
Infinia ML provides the people, process, and technology to automate business challenges with data science. Serving industries from manufacturing and healthcare to marketing and human resources, the company’s capabilities include natural language processing, object detection, and behavior prediction.
The Durham, N.C. company is led by Chief Executive Officer Robbie Allen, an experienced AI entrepreneur; Chief Scientist Lawrence Carin, Ph.D., one of the world’s most published machine learning experts; and Duke University’s Vice Provost for Research and Executive Chairman and Carrick Capital Partners Managing Director Mike Salvino. Together, the Infinia ML team has 31 patents, 11 books, 10 Ph.D.s and more than 600 published papers. Learn more at InfiniaML.com.