Today, Machine Learning and Artificial Intelligence are penetrating every side of the business, from deploying Chatbots to AI-driven platforms. We help other businesses in building cutting-edge AI solutions that enable them to be a leader. LoopBrackets leverages Machine Learning (ML), Artificial Intelligence (AI), Image Recognition, and Automatic Speech Recognition (ASR) technologies to the fullest benefit of its customers.
More and more businesses are leveraging artificial intelligence systems and chatbots to enhance customer experience, but many questions remain about their long-term value. A better understanding of AI could help answer these questions and simplify UX for AI, which involves the cognitive design, i.e. designing for how people think (not just what they want to see).
Artificial intelligence increases sales save costs and improve user experience. Our AI development experts will help you use your data to improve efficiency and make smarter decisions.
Put AI to work and become a data-driven company. We take care of setting up the entire process for your company to best utilize its information. This includes preparing datasets for processing and storage, data modeling using advanced machine learning algorithms, and then extracting business-relevant insights and visualizing them using state-of-the-art business intelligence tools such as Power BI. Preparing intuitive and accessible dashboards allow all end-users, even those without an analytical background, to take advantage of the results of the analysis and employ them in the day-to-day work to help them achieve their goals.
We can help you achieve high-accuracy, high-quality AI capabilities that allow building cost-effective and highly scalable digital products and solutions.
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Since there is no compilation step, the edit-test-debug cycle is incredibly fast.
Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Django helps developers avoid many common security mistakes by providing a framework that has been engineered to "do the right things" to protect the website automatically.
PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab (FAIR). It is free and open-source software released under the Modified BSD license.
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.
pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python
NumPy is the fundamental package for scientific computing in Python. NumPy arrays facilitate advanced mathematical and other types of operations on large numbers of data. Typically, such operations are executed more efficiently and with less code than is possible using Python's built-in sequences.