Days
365 Days
Hours
24
Automation
100%
our tools
AI marketing solutions
Tony is the best
Julia Keys
Art teacher
Impressive content
Richard Durgan
Graphic Designer
best tool for linkedin
Pete Anderson
Visual Artist
Some of our clients
About us
Why BoostenX AI?
BoostenX is the leading artificial intelligence company for businesses. We help you to automate your digital presence, from Linkedin automation to social media marketing. Our mission is to make it easy for businesses of all sizes to succeed online. With BoostenX, you can focus on what you do best, while we take care of the rest.
Growth
AI Technology
2000 +
Email/day
100 +
post/day
100 +
Outreach
650 M
Data
Lead
Linkedin
SMM
Ads
Email
How does it work?
You simply subscribe to one of our packages, after that you will get a confirmation email with an access to our dashboard, then you can link all your social media accounts as well as your Linkedin account to allow our system to do the job for you.
About us
Learning and implementing
Artificial intelligence (AI) is a rapidly evolving field that has the potential to revolutionize industries and transform the way we live and work. At the heart of AI are two key concepts: learning and implementation.Learning in AI refers to the process by which an artificial system is able to improve its performance over time. This can be achieved through various methods such as supervised learning, unsupervised learning, and reinforcement learning.Supervised learning involves training an AI system on a labeled dataset, where the correct output is provided for each example in the dataset. The AI system is then able to use this information to make predictions or decisions on new, unseen data.
Machine Learning
Machine learning is a field of inquiry devoted to understanding and building methods that ‘learn’, that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence.
Deep Learning
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.