Logyc Joins NVIDIA Inception Program
Palo Alto, CA. — December 18, 2017 — Logyc today announced it has joined the NVIDIA Inception program, which is designed to nurture startups revolutionizing industries with advancements in AI and Data Sciences.
Logyc is a core technology that enables enterprises to go beyond existing data by leveraging the knowledge of the employees, partners, and customers. Traditional enterprises in the Logistics, Transportation and Supply Chain Management industries lose most of the context during the digitization process and lack the needed labeled training data to compensate for those losses. Logyc offers a Data Science as a Service platform that enables companies to build intelligent systems at a fraction of the cost and time compared to the existing solutions.
Logyc runs real-time simulations using NVIDIA’s latest GPU technology on the cloud and on-premises and brings the expertise required to provide enterprises with the ability to design and implement cutting-edge solution architecture.
“Logyc is striving to become the leader in AI innovation in the Logistics and Transportation industries. To us, this collaboration with NVIDIA is a perfect blend of hardware and algorithms to transform traditional enterprises into data-driven organizations,” said Andrew Vasserman, CEO at Logyc.
NVIDIA’s Inception program is a virtual accelerator program that helps startups during critical stages of product development, prototyping, and deployment. Every Inception member gets a custom set of ongoing benefits, from hardware grants and marketing support to training with deep learning experts.
About LogycLogyc is a Data Science as a Service Platform focused on transforming traditional enterprises into the data-driven organizations. Logyc’s proprietary human-augmented machine learning technology enables organizations to compensate for the lack of required training data by leveraging the knowledge of their employees, partners, and customers; allowing companies to build intelligent systems in a fraction of the time and cost compared to the existing solutions.
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