Stream Technologies Inc.
Alberta, Canada
As a participant of the upcoming symposium “2nd GCCIR Matchmaking Symposium” organized by Innoget and GCCIR next November 25th, 2019 in Barcelona (Spain), the company Stream is seeking European partners to meet at the Barcelona event to develop a joint collaboration project.
Stream is specifically interested in European partners to develop detection application(s) for greenhouse sector. Further details are described below.
In case you are interested in meeting Stream in Barcelona to discuss a potential collaboration, please register for free to the symposium clicking the “Register for the event” button above.
Stream is an analytics company that specializes in machine learning and spectroscopy to change the way detection is done in the world. Stream value is to provide highly accurate and timely machine learning predictions for industry. The company’s data science team has developed advanced neural nets designed to leverage both spatial and spectral data. Stream also provides tools that enable non-data scientists to build prediction models, without the need of knowledge or experience with machine learning.
Models that are developed are automatically hosted for distribution and use. In addition, Stream provides a marketplace to support instant commercialization of new models world-wide.
The company analyzes images from cell phones to scans from spectrometers. Detect the presence of a disease, fungus, or predict a specific value like the percentage of protein in barley, nutrients or pesticide residue, as possible examples. This applies to quality control in food processing or any other number of targets. This eliminates the need to wait for test results coming back from the lab.
The company’s platform enables non-data scientists with samples to build their own custom analytics models, simply by taking pictures and pushing the train button. Stream is specialized in allowing developers, with limited knowledge or experience in Machine Learning to automatically build Machine Learning models from images and scanned data. The deep learning neutral nets have been optimized to return highly accurate predictions from this type of data. A simple API call returns the prediction values, to be embedded directly into an application. The version 1.0 of the analytics platform has been released. There are limited algorithms or models that have been build, as the platform is new.
Stream is looking to expand its reach and use of its analytics engine into the greenhouse sector and are specifically looking for partners that could collaborate to develop detection application(s) for this sector. This could include various types of crops, and Stream is looking for companies that could help with the ability to get cameras moved efficiently around a facility, so as to be able to image an entire crop canopy.
The company is looking to partner with companies who provide the ground truth data for various disease or other targets that are valuable through ought Europe. The partners Stream is looking for:
The following are the important aspects Stream is looking for in a European partner:
Category of the call
Partners for consortium
Funding available
€ 500,000
Entity offering the program
GCCIR/ACCIO
Deadline
24-11-2019