Machine learning

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

Information systems typically use statistical mathematical models based on assumptions.
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:

Trend and event forecasting

Machine learning algorithms predict the likelihood of an event occurring or the direction in which a trend will develop — for example, predicting the potential of a client or the probability of a sale.
Machine learning algorithms give insurance companies the ability to find patients whose future medical expenses are likely to exceed a set limit. This gives them the time to recommend that the patient take preventative measures, like having additional tests done.

Object recognition and classification

Machine learning algorithms are capable of detecting and determining the type of objects depicted in a large number of pictures — for example, detecting tumors on X-rays.


A recommendation system that uses available user information to pick the most relevant products (services, movies, music tracks, etc.). Recommendations are based on user's viewing history, gender, and interests, including choices of people with similar characteristics.
We created a recommendation system based on machine learning algorithms for the Jisp project (web platform + mobile app + browser extensions).

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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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