Cap
AI

AI and ML Development Services

Improve your existing system and eliminate repetitive tasks with Artificial Intelligence development services. 37% of companies worldwide use AI technology to get data⁠-⁠driven and faster business results.

AI & ML Engineering Services We Provide

We offer AI application development for solving all kinds of business problems, including cybersecurity, customer experience improvement, and much more.

Machine learning

Machine learning

ML is an important part of the AI ecosystem that makes it possible to teach computers to analyze various customer data. It can learn patterns and make decisions, enhancing applications across various industries with predictive insights and automated decision-making.

Natural language processing

Natural language processing

NLP allows developers to handle voice or text language data, understand and interpret it, and then provide detailed analysis for companies. This enables seamless human-computer interactions based on structured data in modern applications like translation, sentiment analysis, and chatbots.

AI

Expert systems

We implement recommendation and diagnosis tools and other types of expert systems, enhancing decision-making across different industries. By integrating rules-based reasoning and knowledge databases, expert systems provide precise solutions to complex problems, offering advice, diagnostics, or recommendations based on logical processes.

Neural networks

Neural networks

Inspired by the human brain's architecture, neural networks are computational AI models designed to recognize patterns in your data, make decisions, and improve your business efficiency. They are irreplaceable in all modern applications from voice recognition tools to financial forecasting systems.

Computer vision

Computer vision

Computer vision, by processing various videos and images, enables machines to interpret and understand visual information from the world and transform it into actionable data. It's used in various applications, from facial recognition and autonomous vehicles to medical imaging and environmental monitoring.

Predictive

Predictive modeling

We use Predictive Modeling technology to analyze statistical data and forecast future events or outcomes for businesses in various industries. It's widely applied in fields such as finance for risk assessment, marketing for customer behavior prediction, and healthcare for disease prognosis.

Deep learning

Deep learning

We are a development company that uses Deep Learning algorithms to process multiple data layers to interpret complex patterns and structures. It excels in tasks like image and speech recognition, natural language processing, and autonomous driving, pushing the boundaries of AI capabilities.

Need Something Special? Drop us a line and our engineers will help you!

Certified engineers for AI product development

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

Andrew Oreshko

Andrew Oreshko

Data Scientist & AI engineer

Andrew, our talented data scientist, and the top machine learning engineer, boasts a rich background of AI-powered software projects. He thrives at the confluence of deep machine learning, NLP, LLMs, RNNs, and information retrieval, crafting solid machine learning pipelines for production. His passion extends to developing custom web products that push the limits of modern tech.

Kiryl Anoshka

Kiryl Anoshka

Cloud Solutions Architect

Kiryl, who is our top specialist in Cloud solutions development, is known for his collaborative spirit, working closely with engineering and UX teams to bring creative products to life. Driven by a passion for solving client challenges and enhancing customer satisfaction, he excels in developing full-stack applications, as well as venturing into ML and serverless development, always aiming to deliver exceptional and cutting-edge solutions.

Maksim Zubov

Maksim Zubov

AI & Data Engineer

With over 10 years of experience, Maksim has contributed his knowledge to numerous well-known companies and startups in sectors like healthcare, insurance, banking, and finance. In his projects, Maksim actively adopts recent advancements in AI, ML, and deep learning, which highlights his depth of knowledge and adaptability in the field.

Tsimafei Tsykunou

Tsimafei Tsykunou

AI & Data Engineer

Tsimafei is our top-level backend data practitioner, who has made his mark across diverse sectors such as cybersecurity, insurance, banking, media, and customer service, leveraging his academic foundation in applied statistics. Skilled in data analytics, Python, and SQL, he has successfully led numerous projects to success, consistently achieving positive business outcomes and enhancing customer experiences.

Hanna Boychenko

Hanna Boychenko

AI PM & BA

Being a highly motivated professional both in software engineering and project management, especially in Agile practices, Hanna shines at steering artificial development projects from their inception to launch. Her leadership style enhances our AI developers’ cooperation and surpasses client expectations consistently.

Ekaterina Chernigina

Ekaterina Chernigina

QA Engineer

With a profound understanding of quality assurance and a specialty in AI project testing, Ekaterina brings precision and thoughtfulness to ensuring that our AI development services meet the highest standards. Her passion and expertise in identifying and rectifying errors, as well as a methodical approach to test design and execution, guarantee delivering top-notch AI solutions.

Need more engineers to supercharge your AI project?

Drop us a line and we will introduce you to the rest of the team.

Success Stories

We provide artificial intelligence development services across different industries. Our clients implement AI solutions and reach their 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.

Why Businesses Choose Fively

Businesses from different industries and countries choose us when looking for a software development company, because we are a trustworthy and experienced technology partner.

5+ Years

in software development

We know how to utilize technology for business process improvement and existing system optimization.

100+

experienced engineers

We are proficient in Machine Learning, Computer Vision, Deep Learning, and other AI⁠-⁠related technologies.

~85%

are senior specialists

Artificial Intelligence development is sophisticated and requires the expertise of the best data scientists.

50+

successful projects

We successfully complete AI app development projects thanks to experienced developers and project managers.

Tech Stack for AI Engineering

We are a modern company using advanced technologies and popular programming languages to create relevant and robust solutions for our clients.

React

python

Python

PHP

Laravel

React Native

TypeScript

JavaScript

Node.js

python

Python

PHP

.NET

Go

ruby

Ruby

React

Angular

Vue

React Native

Swift

XCode

PostgreSQL

Redis

MySQL

MongoDB

AWS

GCP

Tensorflow

Scikit Learn

Pandas

NumPy

LangChain

LangChain

OpenAI

GPT3

3.5 Turbo

Not sure what technologies you need?

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

Artificial Intelligence Development Process

Our experience in providing AI development services allowed us to establish a smooth and effective multi⁠-⁠step approach that brings excellent results for a client.

Artificial Intelligence Development Process

01

Collect and label data set

We gather relevant data and categorize it accurately to serve as the foundation for training the ML model.

02

Choose an ML algorithm

Our team selects the most suitable machine learning algorithm based on the project requirements and the nature of the data.

03

Tweak parameters

We adjust the defined parameters of the chosen algorithm to optimize the model's performance and accuracy.

04

Test the accuracy of the results and validate them

Our engineers test the model and evaluate its predictions to ensure they meet the expected accuracy and perform validation checks for reliability.

05

Deploy the created ML model

We integrate the finalized machine learning model into the existing infrastructure for real⁠-⁠world application and usage.

Our Industry Expertise

The cornerstone of successful MVP development is knowledge of a particular industry. Our engineers provide a top-level MVP development service for companies from all popular industries.

EdTech

AI tools are revolutionizing the EdTech industry by providing personalized learning experiences and adaptive learning systems for students. The use of AI tech helps to analyze learning patterns to recommend resources that best fit individual learning styles and progress.

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InsurTech

Artificial intelligence helps automate claims processing, assess risks more accurately, and detect fraud. It enables insurers with more competitive pricing strategies and improves customer experience by predicting future trends and customer needs.

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HealthTech

AI is transforming HealthTech by enhancing diagnostic accuracy, predicting patient outcomes, and personalizing treatment plans. By analyzing vast datasets, these technologies can identify patterns and anomalies that assist healthcare professionals in making more informed decisions.

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FinTech

In the FinTech sector, AI can greatly automate trading, manage risk, and detect fraudulent transactions. It also enhances customer experiences through personalized financial advice and optimized investment strategies based on predictive analytics.

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Cyber Security

AI strengthens Cyber Security by continuously learning from new threats and adapting defenses accordingly. It also automates the detection of anomalies and potential threats in real time, enabling quicker and more effective response strategies.

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eCommerce

AI is the key to optimizing the eCommerce experience through personalized product recommendations and improved customer service via chatbots. It analyzes customer behavior to forecast trends, manage inventory efficiently, and enhance the overall shopping experience.

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Benefits of AI Development Services

Artificial Intelligence development is a beneficial area of app development, bringing companies new opportunities for data analysis, real⁠-⁠⁠time monitoring, business process automation, and more.

Workflow

Automation and productivity

You can automate many repetitive tasks and free more resources for something new or challenging.

Chatbot

Better customer experience

You will be able to respond quickly with AI⁠-⁠⁠powered chatbots, machine learning algorithms, and Natural Language Processing.

Errors

Decrease in errors

One of the main advantages of AI development services is how they reduce manual errors during data processing.

Data

Advanced data analysis

Machine Learning, Deep Learning, and other AI technologies are great for accurate and unbiased research.

Problem solving

Problem⁠-⁠solving solutions

Custom AI Solutions solve complex problems from personalized customer experiences to fraud detection.

Predictive

Data⁠-⁠driven predictions

Generative AI applications can analyze all types of business data and make predictions that empower your decisions.

Awards and Recognition

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

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Frequently Asked Questions

What are the main 7 areas of AI?

These areas are the most important in the current Artificial Intelligence development:

  1. Machine Learning: handling datasets with computer systems and algorithms.
  2. Deep Learning: going deeper into several data layers to get more results.
  3. Computer Vision: analyzing data in the form of videos and images.
  4. Natural Language Processing: analyzing human languages in various forms like voice and text.
  5. Expert Systems: applying AI development services to create tools for diagnostics and recommendation giving.
  6. Predictive Modeling: analyzing statistical info with AI-powered technology to make predictions of various business outcomes.
  7. Neural Networks: applying all advantages of AI product development to analyze the given info to generate and connect things.

What are the challenges of AI implementation?

There are various challenges associated with custom software development, especially when building AI and ML solutions.

  1. Inaccurate data. If you want to get correct results without critical mistakes, it is important to use quality data that is also well-structured.
  2. Difficulty of training. It takes a knowledgeable and experienced AI software developer to train models and create the right algorithms.
  3. Handling and storage of data. In order to avoid vulnerabilities and protect sensitive information from cyber attacks, you should invest in a secure data management environment.
  4. AI integration. It is difficult to integrate a new AI-driven solution into your existing system, but AI software development companies normally have successful cases of such integration and process automation.

What is included in Artificial Intelligence and Machine Learning services?

AI and ML services include a variety of ways to use Predictive Modeling, neural networks, Machine Learning, and other advanced ways to automate repetitive tasks, solve various business problems, analyze huge datasets in real time, predict possible outcomes, support process automation, and generally make everything faster and more effective.

How much does it cost to make AI apps?

The cost may be greatly influenced by these 3 factors:

  1. Complexity. The cost of development and implementation depends on how complex the project is. Think about the architecture and algorithms. You should also bear in mind amounts of data and whether it is structured properly.
  2. Core features. Off-the-shelf AI applications cost less but may not cover all the features you need while custom AI software is built from scratch and therefore tailored to your business requirements.
  3. Cooperation details. These might be defined by project managers and include things like the scope of work, size and location of the team, the employment type (outsourcing or in-house, for example), required time to complete your project, etc.

How many people should be in a team for my AI project?

The size and composition of AI app development man vary, depending on your project requirements, complexity, deadlines, etc. Basically, the number of required specialists is the same as it would be with making any other custom software, like SaaS development services or workflow automation services. The shortest list of team members will include 1-2 data scientists, a QA engineer, and a project manager. In case there are complex user flows and interfaces involved, you will also need a UX/UI designer. When you partner with an AI software company, they normally study all specific things of your project and define which specialists should be in a team to complete the project on schedule and reach all the goals.

Read Our Featured Stories

Enjoy the recent articles, whitepapers, and technical guides on AI development written by our specialists.

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