Top-Notch Machine Learning Development Company - EffectiveSoft

Machine Learning Development Services

As a subset of artificial intelligence (AI), machine learning (ML) uses massive quantities of data and sophisticated algorithms enabling machines to learn automatically. With such a powerful tool, companies can create smart workflows that allow employees to invest their energy in projects that require empathy and creativity.

Having hands-on experience in data science, EffectiveSoft offers outstanding machine learning services to help enterprises overcome critical business challenges. Our data-driven solutions empower companies to optimize operations, make smart business decisions, and streamline customer experience while staying ahead of the competition.

machine learning development services

Our machine learning services

What we work with

ML software we create

Our key industries

  • Healthcare
    AI and ML algorithms can enhance the predictive capabilities of medicine, as well as create and improve new therapeutic approaches to treating a variety of diseases. This is especially important when developing software for medical image analysis. Machine learning helps solve a lot of challenges, from developing new drugs to calculating the cost of insurance. ML algorithms can identify abnormalities that would otherwise go unnoticed. This makes machine learning a huge contributor to the early detection of high-risk diseases.
    AI ML in healthcare
  • Fintech
    Machine learning helps financial institutions analyze the creditworthiness of borrowers and predict credit risks. With AI and ML algorithms, a lending platform can determine the eligibility of applicants, assess credit risks, and analyze portfolios. Machine learning helps brokers and investors create robust strategies for algorithmic trading and make informed investment decisions. Machine learning models can estimate the value, growth, and performance of stocks or other assets.
    AI and ML in fintech
  • E-commerce
    Businesses use AI and ML to get to know their clients and provide them with personalized recommendations. With machine learning algorithms, it is possible to predict customer behavior, calculate their next acquisition, or suggest related products. In addition, based on past analytics, purchases can be planned and costs can be reduced. ML-based algorithms also help build long-term relationships with customers and bring back inactive ones, increasing retention rates.
    Machine Learning in ecommerce
  • Logistics
    Machine learning enables companies to enhance and automate a lot of business processes: purchasing, delivery, inventory and stock management, interaction with suppliers, loading and unloading, etc. Analyzing large data sets, AI and ML algorithms can calculate the best route, forecast warehouse occupancy for several months ahead, recognize images by analyzing labels on packaging or containers, and calculate transportation costs.
    machine learning in transportation and logistics
  • Telecom
    ML algorithms assist telecom network engineers with preventing churn and fraud, segmenting the client base, cross-selling, sending recommendations to subscribers and employees, and automating workforce management. Leveraging AI and ML, telecommunication companies can optimize their network to enhance customer experience, deliver business results, and drive ROI.
    machine learning in telecommunications
AI ML in healthcare
AI and ML in fintech
Machine Learning in ecommerce
machine learning in transportation and logistics
machine learning in telecommunications

Why choose EffectiveSoft

Our machine learning software development processes

6 steps of machine learning

6 steps of machine learning development

ML tech stack

Machine Learning tech stack

F.A.Q. about Machine Learning

  • Artificial Intelligence uses and processes data to make decisions and predictions. This is the brain of the system and the very “intelligence” of machines. Meanwhile, machine learning is a subset of AI and cannot exist without it. Machine learning is used to create and train artificial intelligence.
  • ML algorithms within AI, as well as other AI-based applications allow systems not only to process data, but also to use it to perform tasks, create predictions, learn, automate routine processes, improve productivity, and more.
  • They are essential members of an ML team. These experts are responsible for the design and creation of software that can automate AI/ML models. They build a large-scale system that uses massive data sets to train algorithms designed to generate valuable insights and predictions. ML engineers manage the whole data science pipeline, from sourcing and preparing data to deploying models into the real world.
  • The success of ML implementation does not depend on the size of the company but on its proactivity. Often, small companies are afraid to turn to machine learning software development because of the cost, so this technology remains a buzzword. Meanwhile, they lose competitive advantages that would help them increase efficiency, automate workflow, and grow.

    So the answer is yes, AI and ML suits a small company. The use of artificial intelligence and machine learning for small businesses goes a long way toward helping them cope with the shortage of skilled resources, reduce time on mundane tasks, improve services, enhance security, and more.

  • The cost of implementation of an ML project depends on the complexity of your solution. The best way to know exact numbers is to request a project estimate from our experts. But whatever the cost is, keep in mind the long-term profit the machine learning will bring.


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    • A Pre-Sales Manager submits a comprehensive project proposal. It may include estimates, timelines, lists of CVs, etc., for a particular situation.
    • Now, we can launch the project.

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