Machine learning

Machine Learning Development Services

35% of companies already use AI, and 46% have plans to implement it in the near future. We provide Machine Learning development services to help businesses make the most of automation and innovation.

What Is Machine Learning?

Machine Learning means teaching AI to solve complex problems. There are Unsupervised Learning, Reinforcement Learning, and supervised Machine Learning; algorithms are chosen according to the task.

Machine Learning Development Services We Provide

We offer all kinds of services for your Machine Learning project, studying business goals and selecting appropriate tools to solve the defined problem.

Deep learning

Deep learning

Examining a data set very deeply with algorithms to discover more valuable information for a business.


Predictive algorithms

Using ML to analyze the data that help make accurate predictions about a company's activity and outcomes.


Smart chatbots

A part of Machine Learning development that allows companies to use modern technology to improve customer experience.

Natural language processing

Natural language processing

Analyzing human language data, in both forms – text and voice, to get valuable information and find business insights.

Data analytics

Real⁠-⁠time data analytics

Using Machine Learning algorithms to gather and analyze information as quickly as possible.

Computer vision

Computer vision

Developing a Machine Learning project to analyze images and videos to compare or extract valuable information quickly.


Expert systems

Using different types of Machine Learning to build recommendation software, diagnosis tools and other expert systems.

Need something special? Drop us a line and our engineers will help you!

Success Stories

We provided various kinds of ML⁠-⁠related services across different industries while our clients improved their efficiency and reached business goals.

Data Visualization Case Study: Veritree

Data Visualization Case Study: Veritree

In this data visualization case study, we cover a top-market web app for a nature restoration company that helped to plant > 12 424 600 trees worldwide.

Data Protection Solutions: ZaveIT

Data Protection Solutions: ZaveIT

Discover Fively expertise in data protection solutions: read how we created a cutting-edge data protection tool for a top-notch cybersecurity company.

B2B Insurance Claims Automation: Zentist

B2B Insurance Claims Automation: Zentist

We have developed an insurance claims automation solution, which robotically validates 80% of all insurance claims with no human involvement.

Identity Verification Services Development: Swordfish

Identity Verification Services Development: Swordfish

We built a set of top-market identity verification service apps that fully automated contacts data gathering and management, making it a 1-minute procedure.

B2B Blockchain Platform Engineering: BloXmove

B2B Blockchain Platform Engineering: BloXmove

The team of business analysts and engineers from Fively participated in the creation of a B2B blockchain powered platform for mobility providers.

Machine Learning Chatbot Engineering for an AR Company

Machine Learning Chatbot Engineering for an AR Company

Fively's engineers have provided machine learning chatbot development assistance to a large augmented reality platform headquartered in Europe.

Anti-Fraud Solutions: Data Protection Tool for a Telecommunications Company

Anti-Fraud Solutions: Data Protection Tool for a Telecommunications Company

Discover Fively expertise in anti-fraud solutions: read how we created a cutting-edge data protection analytical tool for a telecommunications company.

Data-Driven Real Estate Visualization and Property Search Implementation

Data-Driven Real Estate Visualization and Property Search Implementation

Our engineers have built a data-driven real estate platform to help brokers and property owners strike win-win investment decisions in New York.

What Our Clients Say

Work with certified machine learning developers

Our company employs officially certified Artificial Intelligence and Machine Learning engineers. Let’s schedule a call to discuss your project with real experts!

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Why Businesses Choose Fively

Companies from different countries and industries choose us as an experienced and trusted Machine Learning development company that offers profound expertise combined with real⁠-⁠world vision.

5+ Years

in software development

We know how to use ML technology to optimize and automate business processes and introduce innovation.


experienced engineers

With us, you can find a proficient Machine Learning developer for your ML project of any complexity.


are senior specialists

ML specialists at Fively work with sophisticated machine learning models and algorithms to bring precise results.


successful projects

You can rely on us in any ML projects related to customer experience, fraud detection, and other important areas.

Best Tech Stack for Machine Learning Development

We use modern tools and relevant programming languages to build reliable solutions for our clients. It is important to select the right tech stack for complex and simple Machine Learning projects.









AI and ML

Scikit Learn

Not sure what technologies you need?

Contact us, and we will help you to make the right choice!

Machine Learning Development Company Workflow

We established an effective multi⁠-⁠step approach that we use for each Machine Learning project, which allows us to bring quicker and more precise results for a client.

Machine learning development company workflow

Our Industry Expertise

We provide Machine Learning development services for companies from various industries. Our team always starts with interviewing a client about their business specifics and challenges.

Benefits of Machine Learning Development

Bring new opportunities to analyze data, monitor actions in real time, improve various processes – everything you want becomes possible with Machine Learning app development.


Data⁠-⁠driven predictions

Machine Learning models help analyze different types of business data and predict most likely outcomes.

Data analytics

Next⁠-⁠level data analytics

Machine Learning and Deep Learning can both provide more accurate and less biased business research.


Process automation

Machine Learning development provides opportunities to automate mundane activities and spare resources.

Problem solving

Problem solving

Machine Learning algorithms can solve complex problems like detecting fraudulent activity in a data set.


Less errors

ML⁠-⁠based applications can improve data processing, which means significant reduction of manual errors.


Better customer experience

Natural Language Processing and smart chatbots allow companies to respond quickly to customer queries.

Awards and Recognition

Fively is a custom software development company, that has been gaining recognition throughout its existence.


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Let's have a call and discuss your custom solution.

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Frequently Asked Questions

What is Machine Learning?

ML or Machine Learning is an area of computer science and AI-related technologies. In short, it deals with teaching a machine to analyze huge amounts of data and give certain results, such as suspicious activity detection, error correction, image recognition, etc. ML developers use different Machine Learning algorithms to pursue these goals, and it takes knowledge and experience to select the right algorithm and teach the system. The use of Machine Learning in tech allows software to be more precise in making predictions about certain outcomes, which is the main goal of teaching.

Which industries need Machine Learning?

Machine Learning development can significantly help companies from the number of industries, such as:

  • Cybersecurity;
  • System Integration;
  • Social networking;
  • FinTech;
  • Retail;
  • Healthcare;
  • Education, and more.

What are the types of Machine Learning?

There are the 4 basics of machine learning that include reinforcement learning, as well as semi-supervised, unsupervised and supervised Machine Learning. These four approaches are also known as types of Machine Learning models. They allow specialists to cover most tasks and problems, including pattern discovery and predictions. As a Machine Learning development company, we use supervised Machine Learning and other types to solve challenges for our clients’ projects in various industries.

What is the difference between AI and ML?

AI development services include ML, but there is a significant difference between the two. Artificial Intelligence focuses on the idea that computer systems can mimic human thinking to solve problems faster and error-free. Machine Learning is about teaching computer systems how to perform certain tasks, identify patterns, and always give accurate results.

What is a model in Machine Learning?

A model is a kind of file that ML specialists create and teach to recognize specific behavior or elements. Training data is very important because it can make a model correct and fast in analyzing. A data set for training should be big and diverse enough, especially when your aim is to deal with complicated problems like fraud detection.

What is the difference between unsupervised and supervised Machine Learning algorithms?

As their names suggest, the first type doesn’t include much human involvement while the second type depends on certain actions from a specialist. There are different types of data sets in ML. If you are an experienced Machine Learning developer you know that you need labeled data to build supervised learning algorithms. Correspondingly, unsupervised learning will require only unlabeled data.

What are some techniques used in Machine Learning app development?

Specialists use three primary ML techniques: regression, clustering, and classification. The first one means the continuous response from the system. In the second and third one, you can see specific clusters and classes.

What are the most common Machine Learning algorithms?

There are lots of ML algorithms related to techniques and methods like regression, clustering, and classification. For example, a neural network that resembles the human brain can relate both to clustering and regression. Other widely used algorithms include linear regression, binary classification, K-means, dimensionality reduction, and more.

How do ML engineers choose the type of data, algorithm, and model?

There are many factors that may influence this choice. The most important one is the type of your project. Next factor is how much time you have – experts in Machine Learning modeling need to quickly evaluate the speed of training and decide on the right model for this particular project. Performance of the chosen algorithm is also a critical factor, because it should bring as correct results as possible.

Which language is best for Machine Learning?

Python is the most widely used programming language for AI and ML. Moreover, data scientists often work with Java, C++, Haskell, Prolog, and other programming languages. The choice of languages and tools depends on your goals and sometimes on the history of what developers working on this project applied previously.

How is Machine Learning used in the cloud?

Cloud computing and ML development are the areas that can be very beneficial for each other. Cloud environments provide almost unlimited opportunities to store large volumes of information. How is it connected to ML? Typically, you need a lot of training data to start a new Machine Learning project – and the best way to have access to this data is to keep it in the cloud. The reason why so many companies opt for AWS and Google Cloud migration is because they want to use all the advantages of AI and ML. On the other hand, different types of machine learning can provide more opportunities for cloud software development and testing – predictive analytics, neural networks, computer vision, and other technologies may increase efficiency, reduce bugs, and help specialists’ work.

What are some Machine Learning project ideas to start with?

If you want to become a Machine learning specialist, there are some good ML projects that you can try to develop. We can give you a few examples:

  1. Movie recommendation app;
  2. Software that turns handwritten texts into digital documents of various formats;
  3. TensorFlow project, which uses resources from an open-source AI/ML library;
  4. Stock market forecast software;
  5. Activity detection mobile app;
  6. Illness prediction app;
  7. Sales forecast app, and more.

What is the cost of Machine Learning services?

The cost of ML engineering may depend on three main factors:

  1. Project type and complexity. This includes the goal of your project, how complicated architecture you need, how much data you need to reach the goal and how well this information is organized, how many algorithms developers use, estimated time to teach the model, and so on.
  2. ML engineers’ level. You can choose open-source ML solutions and Middle-level developers for simple projects that don't require experiments and innovation. However, if your company needs to cover complex problems and find new solutions, you should invest in hiring Senior ML engineers that are able to use advanced approaches to working with models and algorithms.
  3. Cooperation details. This usually includes the team’s size, location, and employment model, for example, outsourcing or in-house.

How many specialists do you need for a Machine Learning project?

The ideal team for ML project development should include:

  • Business analyst;
  • Chief analytics officer;
  • Solution architect;
  • Data analyst;
  • Data scientist;
  • Data architect;
  • Data engineer;
  • Domain specialist;
  • Database administrator;
  • Some other specialists from related fields.

However, real world situations may differ – for example, a smaller and less complicated project won’t require such a diverse team. When you search for a ML technology partner, it is important to start with business analytics and define the core features that should be in your solution. Understanding the real complexity of the project, you will be able to select the right team for it. If you are not sure how to estimate the scope of work or choose the ML specialist level, just reach out and talk to us.

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