Machine learning

We develop and implement machine learning modules into information systems to provide practical solutions to common business problems

Machine learning algorithms are based on dynamic mathematical models. They apply the same model multiple times to constantly changing input data and adapt it. Therefore, calculations are based on the most up-to-date data – which means that initial goals are reached more efficiently.

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The most common problems solved
by machine learning algorithms:

Rate and distribute clients’ requests

Evaluation of clients’ requests on ecommerce platforms and their distribution by marginality and by probability of transaction. Quality requests (“hot leads”) are sent to the sales department to be processed first. To close the sale, the most experienced managers can contact the prospect. According to WaveAccess data, conversion rates in some retail projects double if a prospect is followed up within the first 15 minutes of their request.

Prediction of costly events

The data-based graph of expected costly events is created (for example, client’s default on a loan, occurrence of an insured event, or other events that your business depends on). Managers get alerted about the increased risk of a costly event in advance, and make their data driven decisions, while dependence on unwanted events decreases.

Anomaly detection and prediction

Anomalies can be detected in any data. For example, integration with a medical video scanner enables to quickly find several informative frames and reduce the probability of medical errors; it also speeds up the work. For logistics and shipping, prediction of anomalies prevents collisions and flooding of ships, and increases the safety of transportation.

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Users get recommendations for purchases based on decisions made by them and by similar groups of customers. The feature offers them the most suitable products, regardless of whether a visitor is known or anonymous and the store provides more and more personalized recommendations. The interface becomes more convenient because you no longer have to scroll through many pages to find new products. As a result, the average check increases, the loyalty of visitors improves, and the number of repeated purchases grows.

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We will be able to demonstrate more machine
learning cases when we meet personally.

Please let us know your contact details and we'll call you to organize a meeting.

Partnership models within
the machine learning domain:

Development of an information system using machine learning

Development and implementation of a machine learning module into an existing information system

Development of machine learning algorithms as part of a globally distributed team


If you would like to assess the possibility
of adding machine learning to your system.

We can develop
a small
pilot project.

Please contact us at or fill out the form
below — we will contact you to discuss details

Why partner with WaveAccess for your software development needs?

  • Reliable project
    manager onsite

  • Enjoy real-time communication via Skype
    and virtual screen sharing

  • No hidden costs – transparent
    project management

  • Risks sharing

  • Strong team motivation

  • Focus on creating long-term value
    and relationships

  • “We have been working with WaveAccess for over 2 years on projects relating to development of software and searches for scientific applications. We are very impressed with how quickly the professionals at WaveAccess understand the requirements and use cases needed for scientists and realized them in the software in the best way possible. Troubleshooting was never a problem – WaveAccess colleagues responded quickly by taking good immediate care regarding any hiccups that are unavoidable in the software development process. The WaveAccess team is very professional and reliable in communication especially in engagements involving several companies. They have a core unit of highly-skilled software engineers and also a flexible pool of freelance contractors if the project needs some unique expertise not represented in the core team. The core team’s combined skill set covers all popular software development languages and frameworks. I would recommend WaveAccess for any of your software development needs.”

    Svetlana Bureeva

    Director, Professional Services, IP & Science  waveaccess client thomson reuters
  • “I have worked with Wave Access for over 10 years now via several companies and they have always delivered what I want on time and on budget. We have worked together on web projects, integration, data loading, building de novo platforms, supporting and further developing legacy code, documentation and mobile apps. I am happy with their work products”

    Julie Bryant

    CEO, Rancho BioSciences
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