Artificial Intelligence & Machine Learning Development Services

In a nutshell, artificial intelligence is a way to make machines think like humans, and machine learning is an approach to achieving artificial intelligence. Machine learning development is about writing algorithms that can make sense of data – classify data, find patterns and correlations, and learn from data to make predictions – all without human intervention. Deep learning, in turn, is one of the most widely used techniques for implementing machine learning. It uses a neural network architecture that consists of multiple layers to learn features from the data.
 
Within our machine learning development services, our firm delivers projects of various complexity, from a simple ML-based application to a complex AI-enabled system.
 
We need a large amount of data for model training and a powerful data processing system to build a successful deep-learning application.

We use the OpenCV library for projects with advanced image processing needs. We also use Amazon and Azure machine learning services to build predictive models and automate data processing tasks. Other machine learning technologies in our tech stack include TensorFlow, Keras, Caffe/Caffe2, and OpenALPR.

We normally use a standard workflow for machine learning solution development. First, we need to look at the task and understand whether machine learning is an effective way to solve it. If it is, the next step is to collect meaningful data for training purposes, classify it, and analyze it. When the dataset is ready, we can start learning model development. One of the most important stages is model training based on the existing dataset. This usually takes a few design experiments and iterations. Once we get the proof of concept, we’ll integrate our model with your solution and launch it into production.

Lack of data leads to unsatisfying results. The more data there is, the more accurate the algorithm. If you don’t have that quantity of data, we need to collect it, if possible, from online sources and build a training model. There are a lot of open-source resources that contain databases with categorized data for system training. Also, there are some paid resources where we can create a database with the needed information for training purposes.

Artificial intelligence is widely applicable in computer science, aviation, marketing, telecommunications, and logistics. AI is used for healthcare, educational, financial, and military projects, as well as in many other fields.

Yes, we do. We can provide customer support, not only during the warranty period but as long as you need it. Our consultants will be ready to give you online tech support on any issue.

We pay great attention to the quality of our work. The customer receives fully functional software and a detailed user manual. After finishing the project, we provide a free warranty period, during which the team will eliminate any discovered bugs. During the post-warranty period, we can also provide advice on possible modernization and modification of your product.

The timing of a project largely depends on its specifics, complexity, scale, choice of components, and logistics. For example, a project audit can take 1-2 months, while AI-based software development usually lasts much longer. We always set realistic deadlines when preparing the spec and stick to the schedule at all project stages.

Upon project completion, the customer receives a fully functional software product, source codes, and detailed technical documentation. The customer will receive all the necessary instructions on how to use the product. We will also answer any questions and provide training if necessary.