Machine Learning Development Services We Offer

Conversational AI/Chatbots

Conversational AI/Chatbots

As part of our machine learning outsourcing services, we create chatbots and conversational AI that analyze customer messages in real time and, based on context, provide answers that are indistinguishable from those of a real person.

Business Intelligence

Business Intelligence

Our business intelligence expertise is about building custom data mining software to transform huge amounts of raw data into actionable information and help businesses make smart choices, make informed decisions, and set the right priorities.

Computer Vision

Computer Vision

We offer Computer Vision solutions development services to harness artificial intelligence to work on the analysis, classification, and recognition of objects in images and videos and the subsequent classification of the results into the required categories.

Benefits of Machine Learning Development

01

Smart Decision Making

An experienced machine learning company with a proven track record will help you create custom algorithms that process and analyze large amounts of data and help you make more informed decisions to optimize the development of your business.

02

Enhanced Security

Machine learning software development is a step towards confident IT security and confidence in data protection: machine learning tools easily analyze information at all levels and fix weaknesses, potential leaks, and even possible attacks.

03

Advanced Automation

In addition to advanced tools for predicting risk and customer desires, machine learning solutions development is an excellent option for implementing automation at the level of voice and text recognition, generating automatic reports, and other features.

Technologies We Use in Machine Learning Development

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CASE Studies

Our offshore development group is experienced in delivering real results to end users − study our projects to make sure of our competence!

Testimonials from Our Clients

How We Work on Machine Learning Development

At Mangosoft, we build value-adding solutions for many verticals and business domains to successfully implement digital ideas, maximize the value of software investments, and address critical business needs. Each time we go through the entire working process that produces valuable results for our clients.

Collecting and Preparing Data

The first step is to collect reliable high-quality data from reliable sources so that the machine learning model determines the correct patterns. Once collected, they are randomized, visualized, and split into 2 training and testing sets.

Training and Evaluating Model

Once a machine learning model is selected for numeric or categorical data, it is fed trained data to look for patterns and implement predictions. As the model learns, we test its performance on data previously unknown to it.

Improving Model Accuracy

After evaluating the model, we study how to improve it by tuning its inherent parameters, i.e. variables: the accuracy will be maximum at a specific value of your parameter. Once tuned, the model is ready to be used on unseen data.

Frequently Asked Questions
What is the cost of a machine learning project?
If you make a choice in favor of outsourced machine learning solutions, then pay attention to the fact that the cost depends on a large number of factors: functionality, scale, technologies, collaboration models, goals, requirements, and so on. To get an estimate, contact the chosen machine learning software company, tell them your wishes and requirements, and request information about the approximate cost of the solution.
How long do machine learning development services take?
The duration of ML development depends on the scale of the project and the capabilities and expertise of the machine learning services provider. More simple solutions can be implemented in a few weeks, while more complex ones can take several months.
When should I use machine learning services?
Machine learning development services are used when certain rules cannot be programmed, such as spam detection in an email, and when a large number of factors can influence the response. Too many such factors, overlapping many rules, and the requirement for fine-tuning are the optimal environment for applying machine learning development. Also, ML is effective when solving large-scale problems is required.
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Wilmington, USA
919 N Market Street, suite 950, DE, 19801, USA
Kyiv, Ukraine
Kozatska street 122/4 office 207, 03022, Ukraine
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