Cap
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 Custom 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: Tailored ML Solutions

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

Predictive algorithms

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

Chatbot

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.

AI

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.

B2B Insurance Claims Automation

B2B Insurance Claims Automation

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 About Our Machine Learning Solutions

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: Our Expertise in AI and Machine Learning

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.

100+

experienced engineers

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

~85%

are senior specialists

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

50+

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 ML 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.

Backend

Node.js
python
Python
PHP
.NET
Go
ruby
Ruby

Frontend

React
Angular
Vue

Cloud

AWS
GCP

Database

PostgreSQL
MySQL
Redis
MongoDB

AI and ML

Tensorflow
Scikit Learn
Pandas
NumPy

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 in AI, ML, Computer Vision, and NLP

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 Services

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

Predictive

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.

Workflow

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.

Errors

Less errors

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

Support

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.

Clutch
Clutch
Clutch
Clutch
Clutch
Feedbax
Feedbax
Clutch
Clutch
Clutch
Clutch
Goodfirms
TopDevelopers
TopDevelopers
TechBehemoths
TechBehemoths
TechBehemoths
Clutch
Clutch

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Frequently Asked Questions

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.

What is machine learning development?

Machine learning development encompasses the creation of ML models through data analysis, leveraging algorithms to learn from data and make data-driven decisions. This process involves data preprocessing to enhance data quality, utilizing various learning techniques, and deploying custom ML models that can adapt and improve over time.

Why do businesses integrate machine learning solutions?

Businesses integrate machine learning solutions to leverage the power of data for predictive analytics, enhance decision-making, and uncover valuable insights that drive business intelligence. Machine learning capabilities like NLP, image recognition, and speech recognition allow companies to automate complex processes like predictive maintenance and offer personalized customer experiences.

What does a machine learning developer do?

A machine learning developer is involved in the entire development process of ML models, from analyzing raw data to deploying custom machine learning solutions. They work on developing AI and machine learning algorithms that can perform tasks such as visual data interpretation, and machine translation, contributing significantly to AI development within a company.

How do neural networks work?

Neural networks, a key component of ML models, mimic the human brain's structure and function, enabling machines to recognize patterns and make decisions. Through layers of interconnected nodes, they process input data, applying ML algorithms to learn and improve their accuracy over time, which is essential for tasks like image and speech recognition.

How do you choose a machine learning consulting company?

It requires evaluating their expertise in AI and machine learning technologies, including their experience with NLP, neural networks, and predictive analytics. Look for a company that offers comprehensive ML consulting and development services, emphasizing custom machine learning development and consulting services tailored to your specific needs. Assess their development team's ability to deploy robust ML solutions and their track record in helping businesses leverage machine learning for valuable insights and improved operational efficiency.

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