Nuriel is the new AI + IoT tool for home security. AI will detect possible dangers (specifically fires) and act immediately to protect you and your home. AI will communicate with you 24/7 to ensure you are safe.
From the digital images and videos, we provide automated solutions. By using deep learning techniques we make computer to understand and execute the tasks that the human visual system can do.
We provide solutions to the many fields by detecting objects in images or videos. Above the industry standards, we aim to make life easier and safer for the humans. From health to security, our tools will ensure that, in every field, citizens, companies and governments will feel more confident in their area of interests.
By using image classification we provide solutions to the companies, which brings the highest revenue in the domain. With our experienced team in eCommerce, we are the leading company in eCommerce item classification.
From child safety to home security, we provide the latest technology to serve human beings. By integrating our Deep Learning models with IoT devices, we make the world safer place to live.
By using image and text mix models, we generate highest accuracy in the field. From eCommerce to detect and tracking illegal organizations activities in social platforms and internet, we support retail companies and security agencies with our tools which utilize the text classification.
We support the expert companies in social analysis and global security. With thousands of APIs, we gain important insights from the mass of data.
According to Tom Mitchell, machine learning is: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.”
A predictive Churn Model is an easy classification instrument: look at the consumer pastime from the prior and check to see who is active after a particular time after which create a model that probabilistically identifies the steps and phases when a client (or segment) is leaving your products or services.
A long-established misconception is that predictive analytics and machine learning are the equal factor. This is not the case.
Recommender systems are defined as recommendation inputs given by using the humans, which the approach then aggregates and directs to appropriate recipients. It can be additional outlined as a procedure that produces individualized recommendations as output or has the influence of guiding the person in a personalized solution to fascinating objects in a greater space of possible choices.