To assist. Not replace.
Advanced technology for innovation, growth, and security.
Quantum AI utilise a powerful suite of groundbreaking technologies, in order to provide the very best AI, ML, and DL solutions. By leveraging the power of Quantum and Edge Computing, we can ensure limitless connectivity and heightened security, and with our unique advanced algorithms, we don’t just stop at the provision of a next-generation solution. We implement a self-learning, self-healing suite of intelligence.
With quantum computers capable of handling and processing much larger datasets, AI and Machine Learning applications are set to benefit hugely, with faster training times and more capable algorithms.
All of our technology is specifically designed to harness the potential of Quantum computing and apply it to develop incredibly powerful Artificial Intelligence, Machine Learning, Encryption and Data Discovery capabilities.
Does your organisation have extremely large data sets that require deep dive analysis, beyond the scope of a regular worker? In many organisation’s, data is complex and unstructured. Much of it remains in different types of formats such as images, text, and so on, so for Machine Learning algorithms it can be difficult to mine unstructured data, hence the implementation of a Quantum AI Deep Learning engine.
No matter the complexity of your data, Deep Learning can handle it.
Every once in a while, a new technology, an old problem, and a big idea turn into an innovation.
– Dean Kamen, American Engineer
The true power behind Machine Learning or Deep Learning Engine is in the algorithms on which they are dependent. At Quantum, we ensure that our platform is perfectly suited to each client’s requirements. Our algorithms are designed and created for specific, clearly defined use cases based on complex series of sequences and defined instructions to complete specifically set challenges.
We overlay with additional human inputs that add context, understanding, and usability to those algorithmic outcomes to create a form of artificial intelligence.
Edge computing is a powerful tool in making greater use of big data across a dispersed network. The effectiveness of AI can be significantly diminished, if situations of limited connectivity, but by placing the computing power closer to these remote sources of data, organisations are able to process the data they collect and produce more rapidly.