Custom Machine Learning Solutions

Why is so important?

Software development grows daily. With new technologies growing and evolving, it is necessary to automate data collection and analysis as it reduces workload and can be completed much faster.

Our technology allows us to develop programs and applications for data management. This is achieved through existing algorithms that help us launch innovative and current applications.

At Leaware, we have state-of-the-art tools that allow us to develop highly advanced programs for data analysis. Our team is constantly developing these programs and we ensure that the information supplied is consistent with what you need.

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How we do it?

workshops

Workshops

The workshop is one of the most important parts of the service that we offer. Your organization’s job at this point is to get involved and help us understand the objectives of your organization so we can align the development of your product with your needs.

In the workshop, you and your organization can actively participate and get involved in the development of your product.

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Standard Machine Learning Approach

Our goal is to identify the results of the machine learning project and analyze this data to see whether there are more solutions that can be used in the market.

custom

Custom Machine Learning Approach

To meet the needs of your project, we will use a machine learning type solution. As part of this solution, we complete an investigation and test whether the system "learns" and measures appropriate indicators to evaluate results.

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Data Preparation

Data labeling: you must have a large amount of consistent, good-quality data for model training to be effective. This is applicable for products related to voice processing, images, and data analysis based on images and voice processing.

Cleaning the data: it is important to filter out unnecessary information to ensure that the extracted data is reliable and clean.

Dividing the data: here, we must focus the data on the two types of training and validation. The first is that the model receives all the information available for it to learn. The second is to validate the data in the training stage.

 

training
Training Stage

Our team of developers experiment with the data to train the model. Each time the system learns to reproduce the results we expect, more complex data will be supplied so that the final algorithm is robust and error-free.

During the training phase of the project, our machine learning architect will decide on the design of the project. In many cases, we will choose industry-proven frameworks to create a neural network.

Finally, we validate the product with unknown data to see whether it adjusts in line with what we expect.

 

integration

Integration

When we have the final model, we can easily integrate other elements like mobile and web applications. The machine learning model can be used safely, reliably, effectively, and without any inconvenience.

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Machine Learning Consultancy

At Leaware, our consultants are happy to provide you with all the strategic guidance for your machine learning model. Market research and analysis of business processes will optimize machine learning algorithms through continuous adjustments that allow us to achieve our high standards.5.8 WHY SHOULD YOU INVEST IN MACHINE LEARNING SOLUTIONS

You should invest in machine learning solutions because It is important to keep your product data analysis up to date and establish yourpriorities. It is essential that your product updates are objectively evaluated and applied at the right time.

Why you should invest
in Machine Learning?

The development of this kind of digital product is somewhat complex, but rest assured that consolidating its growth is a process that, with monitoring and control, will be simple. It must be ensured that the brand and the product are integrated into the statistics of the processes and of what is being measured to establish the bases that help the public use our product comfortably.

The design of user interfaces for interactive systems is well studied and there are increasingly better techniques to generate much more intuitive interactions and comfortable for users. Based on the data collected and, analyzing it appropriately, an interface can be developed that is useful and easy to use for the client, with tangible growth opportunities over time.

The operation of this class of digital products is based on data processing and their interaction with the client and the user and on how the interface works over time, this is where indicators must be established to help measure the level of performance of the application based on the user experience and how the number of interactions of the product have grown for all kinds of users, so it is somewhat less complicated to establish quality controls throughout the development and use of the application.

 

The launch process for any kind of digital product must be carefully evaluated. This class of product is based on data collection and interpretation. Having all the correct data and knowing how to use it, having done validation tests and making sure that the quality controls were met, you can proceed with designing launch techniques that show the product as one that represents the brand in functionality, quality and timely customer service.

Why Leaware fit for the job?

Leaware is a recognizable digital product studio with 12 years of experience in software development. Having roots in Poland, we operate over Europe with 60 partners. We help companies build and develop solutions, using innovative, science-backed methods like Jobs to be Done, the Hook Model, and AAR & BAR military methods. We have teams of highly skilled experts to, ensuring the success and growth of our partners, boosting their businesses and delivering long term maintenance.  

 

With plenty of experience in machine learning solutions, we have helped companies to develop useful and innovative solutions, addressing their needs.

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      Copyright 2023 leaware.com 

      Lea sp. z o.o. z siedzibą w Toruniu, ul. Włocławska 167, 87-100 Toruń, wpisana do rejestru przedsiębiorców prowadzonego przez Sąd Rejonowy w Toruniu, VII Wydział Gospodarczy Krajowego
      Rejestru Sądowego pod nr KRS 835659, NIP 9522205303, wysokość kapitału zakładowego: 5 000 zł

      Germany, Belgium
      +49 24023893009
      ask@leaware.com

      United Kingdom
      +44 2081900354
      ask@leaware.com

      Denmark
      +45 21671778
      ask@leaware.com

      Poland
      +48 223781522
      ask@leaware.com

      Serbia
      +38 1653980110
      +38 163332268
      ask@leaware.com

      Copyright 2023 leaware.com 

      Lea sp. z o.o. z siedzibą w Toruniu, ul. Włocławska 167, 87-100 Toruń, wpisana do rejestru przedsiębiorców prowadzonego przez Sąd Rejonowy w Toruniu, VII Wydział Gospodarczy Krajowego
      Rejestru Sądowego pod nr KRS 835659, NIP 9522205303, wysokość kapitału zakładowego: 5 000 zł

      Germany, Belgium
      +49 24023893009
      ask@leaware.com

      United Kingdom
      +44 2081900354
      ask@leaware.com

      Denmark
      +45 21671778
      ask@leaware.com

      Poland
      +48 223781522
      ask@leaware.com

      Serbia
      +38 1653980110
      +38 163332268
      ask@leaware.com

      Copyright 2023 leaware.com 

      Lea sp. z o.o. z siedzibą w Toruniu, ul. Włocławska 167, 87-100 Toruń, wpisana do rejestru przedsiębiorców prowadzonego przez Sąd Rejonowy w Toruniu, VII Wydział Gospodarczy Krajowego
      Rejestru Sądowego pod nr KRS 835659, NIP 9522205303, wysokość kapitału zakładowego: 5 000 zł