AI Development Services

See what types of AI can be applied to different projects and how they can help businesses increase efficiency, customer experience, reduce costs, and improve the quality of business decisions.

ai for big data deep learning big data expert systems classification tasks big data object media recognition media files ai processing virtual assistant

AI Development Services

ai for big data

Large volumes of data and the ability to rapidly combine different sources of information open up new opportunities for the application of AI.

Combining AI and Big Data helps businesses establish patterns between different data and make more sense of it. Thereby, it improves analytics, decision-making, forecasting, and helps to identify potential risks.

AI Development Services

deep learning big data

Deep Learning is another kind of AI based on neural networks. Unlike machine learning, deep learning has self-learning capabilities and doesn’t rely on set algorithms to process data. The more information the neural networks receive, the more effective the learning process will be.

This type of AI is widely used in computer vision, natural language processing, and predictive modeling.

It is used in various business spheres, including marketing, entertainment, customer services, and even the public sector.

AI Development Services

expert systems

This AI-based system can replace a human expert when solving problems in a highly specialized area.

To solve a certain problem, AI relies on a custom knowledge base tailored to different types of businesses.

Expert systems can include the following functionality:

Assist employees in decision-making
Suggest alternative ways for problem-solving
Provide explanations
Data selection
Determine the probable causes of deviations from the set process

And other functionality that solves various types of problems in a wide variety of problem areas, such as finance, energy, logistics, healthcare, and manufacturing.

AI Development Services

classification tasks big data

Sort big data in a systematic manner.

Based on the set parameters, automatic data classification can help sort huge volumes of data for your business, reduce the human workforce, and increase accuracy.

Classification of big data can include the following:

Process requests, CVs, and documents
Assign labels to input data
Categorize data sets by features
Compare data
Study the relationship between different types of data

AI Development Services

object media recognition

Use AI for content recognition tasks.

Easily recognize text on documents, scan signatures, detect objects on photos and videos, etc.

These features significantly reduce human labor and increase work processes' accuracy by eliminating the possibility of human error.

AI Development Services

media files ai processing

Improve image quality to obtain the desired visual result and speed up media processing.

Deep learning allows preparing the images and video for further analysis: object recognition, classification, or image interpretation.

Computools offers a wide range of media files processing with the help of AI that can include such operations as noise reduction, sound modulation, batch media processing, improving a blurry photo, increasing resolution, and contrast, brightening a dark photo, removing optical distortions, reconstructing compressed photos, and much more.

AI Development Services

virtual assistant

Integrate a virtual business assistant to get a detailed analysis of all your business processes.

By leveraging machine learning algorithms, a virtual assistant tool will be a competent advisor in the following areas:

Improving customer service
Boosting the efficiency of your company's business processes
Increasing revenue and maximizing sales
Identifying trends
Predicting product demand
Classifying customers and predicting their behavior and much more.

How Does It Work

Computools embeds AI capabilities into software to provide you with more intelligent and automated solutions

Data Analysis

A deep analysis of the project's goals identifies the main need, whether that's to solve a task or automate processes through AI solutions. The result of this analysis makes building an expert system or neural network clearer. An expert system is man-made, a unique and very accurate model of the calculation is used. While a neural network is made using sophisticated machine learning. Engineers analyze what class the problem belongs to, the available data sets (quality and volume), and form signs from them. The network architecture is formed based on the type of task, and the learning process begins (architecture tuning, optimizer parameters, error function and form of signs).

Engineering

Computools's developers carry out and implement your solution using expert knowledge and skills. Enjoy professionally formulated expert systems with accurate processes that solve problems faster and more efficiently. Benefit from a neural network built using deep machine learning that's fast to implement, self-learning, and doesn't require an operator or developer.

Operating

The support and maintenance of implemented AI solutions contribute to their regular improvement: adding new functions and algorithms, updating libraries, fixing bugs, applying the latest developments, etc. Computools is committed to providing the highest quality products and the long-term maintenance needed to keep them doing what you need them to.

Artificial Intelligence Solutions

Bring a competitive advantage to your business with reliable AI solutions

Expert Systems

An Expert System is an interactive and reliable AI-based decision-making system that uses both facts and heuristics to solve complex decision-making problems. It is considered at the highest level of human intelligence and expertise. It is used to solve the most complex issues in a specific domain. Expert systems are the most widely used in automation however, their capabilities can be used for any industry. According to the given parameters, the system can find the necessary data, compile reports and display results faster than any human expert. It provides efficiency, accuracy and imaginative problem-solving.

Deep Machine Learning

Embedded deep machine learning solutions interpret critical data, discover trends, and mark similar patterns that help businesses make better decisions. Moreover, deep learning finds insights hidden in data without explicitly being told where to look or what to conclude. AI solutions include comprehensive and intuitive machine learning tools with automated feature engineering capabilities. This results in better recommendations for faster and smarter business growth.

Forecasting & Optimization

Forecasting or predictive analytics is one of the most important business tools today. AI solutions take this to a new level by making effective and accurate predictions of future profits, consumer behavior, and market changes. Such applications are capable of processing a large amount of information as well as highlighting important factors to provide the most detailed forecast. This, in turn, allows companies to optimize processes on time and make relevant business decisions.

Virtual Assistance

AI virtual assistants can greatly simplify and speed up many of the company's internal processes. Add AI-powered chatbots to automate customer support and reduce issues managed by live agents. Provide customers with the best of both worlds: let bots manage common queries and leave the live human support to manage complex issues. Use assistance programs to clean images, work with sound (cleaning, acoustic separation), and other data streams in order to search for patterns without specific parameters. This allows a comprehensive and deeper analysis of any information.

Computer Vision

Computer vision is a common name for apps that analyze and interpret objects in a picture or video. AI solutions use computer vision to accelerate intelligent automation with simple tools for image processing, image recognition, and object detection. Face and object recognition systems are widely used in government security programs. However, the same technology can be applied to realize business goals. For example, face recognition in consumer services can help to predict customer preferences and behavior.