This sponsored post is produced by NVIDIA.

A dozen rising stars in the tech world will soon take to the stage to compete for $100,000 and a shot at glory.

It worked for Oculus. Only a year after appearing at the Emerging Companies Summit, Facebook acquired the virtual reality headset maker for $2 billion.

Each year, we talk with more innovative startups around the world that use the power of GPUs to disrupt industries and grow their business.

That’s why we created the Emerging Companies Summit. It’s a showcase for their brilliant work. And it introduces them to an audience of investors and technology execs who can open new opportunities.

The number of applicants vying for the summit’s top prize tripled this year to more than 150 companies from 30 countries. We selected the best 12, which will compete onstage in the summit’s Early Stage Challenge on March 18 in Silicon Valley.

Each CEO will have four minutes to present, plus four minutes to take questions from a panel that includes: Savitha Srinivasan, partner at IBM Venture Capital; tech pundit Rob Enderle; Saeed Amidi, founder and CEO of Plug and Play Tech Center; and Jeff Herbst, vice president of Business Development at NVIDIA.

Moderating it all will be NBC Bay Area tech reporter Scott Budman.

When they finish, the panel and audience will vote for the winner, who gets $100,000 on the spot.

Those interested in attending the event will find details here, along with a link to register. Company descriptions and presentation times are here.

The 12 competitors in next month’s Early Stage Challenge are:


(Ireland) – Deep Learning, Game Development
Today’s video games and movies require big art teams to render and create artwork. Artomatix develops tools that can automate digital media creation, allowing a single human artist to do the work of a team.

Ersatz Labs 

(U.S.) – Deep Learning, Big Data Analytics
Ersatz Labs makes a GPU-based platform for machine learning and “deep learning.” Deep learning is a type of machine learning algorithm based on the branching neuronal structure of the brain. Ersatz makes this technology practical and accessible through a web-based user interface and API.


(Germany) – Computational Fluid Dynamics, Supercomputing
FluiDyna designs and develops integrated solutions with computational fluid dynamics software for a range of customers, including vehicle manufacturers and suppliers, process and chemical engineering industries, and pharmaceutical companies.FluidDyna


(Brazil) – Computer Vision, Big Data Analytics
This award-winning startup pioneered in-store retail analytics. It has large customers in Brazil, where it is developing a single, uniform platform.


(France) – Automotive, Video and Image Processing
Intempora develops advanced driver assistance and autonomous vehicle technologies middleware. Its modular platform supports high-bandwidth data throughput from multiple sensors. It currently works with transportation, robotics and automotive companies, including Airbus, Honda and Renault.

Insilico Medicine

(U.S.) – Life Sciences, Big Data Analytics
Insilico Medicine uses genomics and big data analytics for drug discovery, drug repurposing and personalized preventative medicine. Insilico Medicine utilizes NVIDIA GPU to solve aging and age-related diseases. It also provides services to pharmaceutical companies interested in drug repurposing, early project termination, companion diagnostic development, and improving clinical trials enrollment.

NE Scientific

(U.S.) – Medical Imaging, Visualization
NE Scientific (NES) is developing new technologies for medical image analysis, modeling, and visualization. NES is sponsored by the National Cancer Institute for developing novel surgical guidance platforms for cancer treatment, is involved in projects for grading prostate cancer with magnetic resonance imaging, and in assessing the lung function in the intensive care unit using low intensity electrical fields for sensing tissues.

NE Scientific

Pythia Systems

(Israel) – Cloud Computing and HPC, Big Data Analytics
Pythia offers a high-performance, low-cost data warehouse for analytics and reports. Its pilot project with the Israeli National Bank performed 20X faster than the bank’s data warehouse system.

QM Scientific

(U.S.) – Machine Learning, Computer Vision
QM Scientific helps consumers make smart buying decisions in real time. Consumers tell its app what they need, and the company’s platform recommends a store optimized by price, quality, shopping behavior, and location.

Redshift Rendering Technologies

(U.S.) – Rendering, Media and Entertainment
Redshift is the world’s fastest, most flexible GPU-accelerated renderer. In use today at many visual effects studios, Redshift shows that GPU-accelerated rendering offers a cost-effective, high-performance alternative to CPU rendering solutions.Redshift Rendering3

Replica Labs

(U.S.) – Computer Vision, Video and Image Processing
Turn the phone in your pocket into a 3D scanner. Replica Labs uses computer vision algorithms to quickly turn video feeds from any smartphone into accurate 3D reconstructions.


(U.S.) – Big Data Analytics, Graph Analytics, Cloud Computing
SYSTAP builds highly scalable software solutions for big graphs. Its technology can process large graphs hundreds or even thousands of times faster than competing solutions, bringing the power of high performance computing to an organization’s most time-critical graph challenges.

The Emerging Companies Summit, held Wednesday, March 18, is part of the annual GPU Technology Conference, taking place at the San Jose Convention Center in Silicon Valley from March 17 – 20. The summit provides companies with an opportunity to present their technologies to potential investors, partners, customers, analysts, and media.

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