Where can we help?

Self taught algorithms can solve many problems accross different business domains.
We have the knowledge and skills to build these algorithms tailor-made for your needs

Deep learning

Deep learning models teach a computer to identify a person in the photo, street directions in spoken words, and similarities between audio samples. We use deep learning for building image recognition software, image search, object detection, fraud prediction, text and voice recognition, and other applications.

Predictive analytics

This technique uses historical data to identify risks and opportunities for the future. To build predictive analytics models we use both structured (displayed in titled columns and rows) and unstructured data (emails, audio, social media content). Risk management, cross-sell, direct marketing are some use cases for predictive analytics.

Data Collection

Machine learning requires a big amount of labeled training data. Some of this data is available in free public repositories, some are proprietary, and some needs to be collected elsewhere. If collecting needed data is a problem, we can help you solve it. We use different methods to gather quality data for exploration and analysis.

Chatbot development

Using machine learning and NLP, we can build a neural conversational chatbot for retail, finance, travel, entertainment, and other industries. We train chatbots to understand human language and improve over time. These bots (text-based or voice) create replies from scratch and speak just like humans.

Data analysis & visualization

Helping companies make sense of data is a task of our data science engineers. We build business intelligence solutions that identify trends and patterns inherent in the data and transform this information into visual context using charts, tables, graphs, and other forms including 3D visualizations.

Anomaly detection

Anomaly detection allows you to take measures to prevent risk in the future. This risk may be related to unusual network traffic, malfunctioning equipment, fraudulent transactions. To detect anomalies we build machine learning models that capture odd ones out in data. We train the model to consistently identify the anomalies.

Computer Vision

Computer vision is about extracting information from images which may involve text description, a three-dimensional model, camera position, and so on. We help our clients get the most out of image data. Face detection, inventory management, and document analysis are some of the computer vision tasks we solve.

Natural Language Processing

Helping companies make sense of data is a task of our data science engineers. We build business intelligence solutions that identify trends and patterns inherent in the data and transform this information into visual context using charts, tables, graphs, and other forms including 3D visualizations.

Recommendation systems

Recommender systems are applied to a scenario where many users interact with many items. Media, ecommerce, job boards – we adapt our solutions to business needs in multiple domains. To build recommender systems we use content-based and collaborative filtering methods or combine both of these approaches.


How we work

From scoping to data collection to model deployment to application development – we take care of your entire project.

Find the problem

First, we need to understand what problem you want to solve and see if it is a fit for machine learning.

Collect data

We collect available data both structured and unstructured. If you don't have data, we'll collect it online if possible. .

Prepare the data

To make sense of data, it needs to be clean. We transform raw data and then it's ready for processing and analysis.

Analyze data

We discover patterns and relationships in data and extract relevant insights by using statistical methods.

Build a model

We apply machine learning algorithms to your dataset and run thousands of experiments to prove it works.

Implement an application

Finally, we deploy the model into production, iterate until it works properly, and develop features to access it.

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What's your AI idea?

Let's start your AI and machine learning project.

Contact us

Why us?

Strong AI Engineering Team

We are a tech-savvy engineering team with proven experience in ML and AI development.

Usage of Proprietary Technologies

We use pre-built proprietary technologies in the field of NLP and computer vision.

Flexible Terms of Cooperation

We offer flexible terms of cooperation that are the best fit for your business needs and goals.

Versatile Project Portfolio

You are welcome to look through our compelling portfolio featuring a variety of AI software development projects for different industries.

Deep Domain Know-How

We have solid technical know-how in custom AI application development and AI software design for different domains.

Own R&D Center

We carry out R&D activities, and our team is continually looking for new ideas and approaches to improve our products and services.


What we offer

Digital Services

Chrome, Firefox, IE, Safari, Opera, Microsoft Edge - MDB loves all browsers; all browsers love MDB.

IT Services

MDB becomes better every month. We love the project and enhance as much as possible.

Consulting

Our society grows day by day. Visit our forum and check how it is to be a part of our family.


Technologies

We evaluate several AI technologies before making a final decision of what to use for your project.


About Hyperdimensions

At HyperDimensions Research, we do our best to deliver relevant and impactful custom AI software solutions tailored to your unique business requirements.

Philosophy

AI can enable humans to focus on parts of their role that add the most value

Vision

Constant innovation and disruption to provide world class solutions

Expertise

Predictive Analytics
Deep learning
SAAS