We welcome an innovative approach and support innovation in the work of our team. In the field of AI and machine learning, we explore the areas of image processing, computer vision, and natural language processing.
ISsoft engineers explore real-time and offline image and video processing technologies, from vulnerability scanners and sports trackers to intelligent object monitoring. Our R&D approach inspires ML engineers to develop intelligent ML solutions to automate complex decision-making processes based on images and videos. In R&D laboratories we develop and improve technologies and design systems:
ISsoft ML engineers conduct innovative research and apply innovative methods to create software for recognition and processing of unstructured written and spoken speech based on ML models and algorithms. The projects of our R&D laboratories are aimed at finding solutions for:
We study the client’s business and, using data mining methods, provide datasets for creating ML models. By classifying and analyzing sequences using programming tools, our Data Scientists extract information from a large array of raw data and prepare high-quality data for compiling algorithms for training ML models.
We create and train machine learning models for AI-enabled software development. Our specialists use both pre-trained models and create custom machine learning models on order.
Combining our knowledge of mathematics and algorithms with an R&D approach, we test ML model frameworks for decision support. The ISsoft team evaluates how the selected models perform the expected business tasks by training ML models using cloud-based solutions such as Amazon SageMaker or on their own hardware.
When creating ML models, we focus on optimization and selection of machine learning algorithms. We carefully analyze the problems faced by our clients and advise on the most effective mode of optimizing an ML model.
We also explore the optimal strategies for software development projects with the integration of ML technology. Our Data Scientists and ML engineers design possible patterns, recommend technology stacks, evaluate architectures, and advise clients on other technical aspects of projects.
The ISsoft team carefully examines the process of implementing a machine learning model for building modern AI solutions and integrating them into corporate software products.
We use an R&D approach to design, train and implement an ML model using Amazon SageMaker or Microsoft Azure ML. Our ML developers collect data and train and deploy models. We ensure the high accuracy of the models through testing in the production environment, fixing errors and constantly improving it.
The process of implementation and hosting – from creating a model on the platform to continuous testing of the model – is an integral part of the R&D process in our company. Our Data Scientists research and control every aspect of an ML model as it is deployed to the cloud. We wrap the ML model source code in a separate container, deploying the ML model as a web service using the popular Amazon Web Services or Microsoft Azure platforms.