Machine simulation of human thinking is called Artificial Intelligence or AI. Computer vision and neural networks are examples of this technology used by data scientists to build various AI applications.
We offer AI application development for solving all kinds of business problems, including cybersecurity, customer experience improvement, and much more.
Machine learning
ML is an important part of AI development that supports teaching computers to help analyze various data.
Natural language processing
NLP allows AI developers to handle voice or text language data and provide analysis for companies.
Expert systems
We implement recommendation and diagnosis tools and other types of expert systems for different industries.
Neural networks
The development of artificial intelligence systems like neural networks can improve your business efficiency.
Computer vision
Processing and analyzing videos and images with the help of AI software is called Computer Vision.
Predictive modeling
We use Predictive Modeling technology to analyze statistical data and predict results for businesses.
Deep learning
We are an AI development company that uses Deep Learning algorithms to process multiple data layers.
Businesses from different industries and countries choose us when looking for an artificial intelligence 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.
We are a modern Artificial Intelligence development company using advanced technologies and popular programming languages to create relevant and robust solutions for our clients.
Backend
Frontend
Cloud
Database
AI and ML
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.
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
Brighten up classrooms with state-of-the-art technologies.
InsurTech
Improve client base management with bespoke insurance automation tools.
HealthTech
Safeguard public health with creative technologies.
FinTech
Even traditional industries require a modern approach.
Cyber Security
Modern tech is a good basis for safe and sustained development.
eCommerce
Get a custom solution to boost your retail business.
Our company employs officially certified Artificial Intelligence and Machine Learning engineers. Let’s schedule a call to discuss your project with real experts!
Artificial Intelligence software development is a beneficial area of app development, bringing companies new opportunities for data analysis, real-time monitoring, business process automation, and more.
Fively is a custom software development company, that has been gaining recognition throughout its existence.
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There are lots of popular AI-based solutions that companies and individuals use every day – for example, a fraud detection detection tool, a virtual assistant, social networks algorithms, image recognition features, biometric authentication, etc. Artificial Intelligence development companies like Fively build and implement AI applications for clients from different industries, such as Healthcare, Education, Real Estate, eCommerce, Insurance, FinTech, Cybersecurity, and more.
These areas are the most important in the current Artificial Intelligence development:
AI is an important trend in modern technology that has a huge impact on web development. Companies across various industries want to use the many benefits of AI-driven development, creating such features and modules for new platforms. Therefore, experienced AI developers are in high demand. One of the crucial requirements is knowledge of architecture that allows to engineer stable and smoothly working solutions. In addition, modern web and mobile development can greatly benefit from using AI-powered tools for code review and quality assurance.
The choice of coding languages in AI software engineering depends on how developers use computer systems. For example, Python is the best for Machine Learning in particular and data analysis in general. Java, Prolog, Haskell, and C++ are also very efficient for AI-driven software development.
Data scientists may use a variety of algorithms – for example, decision trees, logistic and linear regression, clustering, random forests, and more. Needless to say that deep knowledge of most popular algorithms and practical experience with their application are critical requirements for an AI software developer, because this choice is an important part of the process. Typically, developers test several options to select the one that best fits your project.
There are various challenges associated with custom software development, especially when building an AI solution.
AI 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.
The big five of such companies are Apple, Google, Microsoft, Meta, and Amazon. It is not a mistake to say that every huge tech company actively implements AI-based solutions. There are also world-known companies like AKASA and Robust Intelligence that enable artificial intelligence development services for their B2B partners. If you want to develop a new AI solution, you can choose from providers that offer the most relevant price-quality ratio for you. The important factor is whether your tech partner has a relevant portfolio with AI development projects.
Yes, it is possible to create your own AI. The first and most important question that you should ask yourself is what kind of problem you want to solve by AI development. Next step will be collecting the relevant data to train the model for your AI solution. AI software design, engineering and implementation require a deep understanding of Machine Learning, Data Science, and other related fields.
Coding skills are necessary if you are developing an AI-driven project with complex architecture. As a rule, developers have hands-on experience with a programming language (for instance, Python or C++) when they start building custom AI software. On the other hand, the current level of codeless technology allows you to develop simple AI-powered projects using platforms like DataRobot or Google AutoML. We recommend you to define your business goals first – it will help you decide what exactly you want to achieve with AI, because creating a simple chatbot for a small eCommerce store and engineering a complex fraud detection tool for an insurance company will be entirely different projects.
The cost may be greatly influenced by these 3 factors:
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.
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