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CoreML Development Services

We will make your IOS application “smart” with CoreML!
CoreML Development Services

Key clients

INTERPIPE
SCHWARZ LOGISTICS
AUTO TRANSPORT CHICAGO TRAILERS
GRATA International
ROSHEN
Metinvest
Aptiv PLC
Toyota Material Handling
Cooper&Hunter
EasyLoad
Loadaza
Darkstore
Makeit.io
WEZOM Academy
VoIP
RIEL
STVOL
Delivery Auto
INTERPIPE
SCHWARZ LOGISTICS
AUTO TRANSPORT CHICAGO TRAILERS
GRATA International
ROSHEN
Metinvest
Aptiv PLC
Toyota Material Handling
Cooper&Hunter
EasyLoad
Loadaza
Darkstore
Makeit.io
WEZOM Academy
VoIP
RIEL
STVOL
Delivery Auto
INTERPIPE
SCHWARZ LOGISTICS
AUTO TRANSPORT CHICAGO TRAILERS
GRATA International
ROSHEN
Metinvest
Aptiv PLC
Toyota Material Handling
Cooper&Hunter
EasyLoad
Loadaza
Darkstore
Makeit.io
WEZOM Academy
VoIP
RIEL
STVOL
Delivery Auto

Why CoreML?

Developers choose CoreML models to create solutions that can self-learn when interacting with the user.

Why CoreML?

1. Machine learning algorithms

Core ML applies a machine learning algorithm to a set of training data to create a model that can perform a wide variety of tasks that would be difficult or impractical to write in code.
CoreML optimizes on-device performance using the CPU, GPU, and neural engine while minimizing memory footprint and power consumption.
CoreML is great for quickly integrating and deploying the created models into the application being developed.
Running the model on the user's device eliminates the need for a network connection, which helps keep your app's data private and responsive.

What Do We Offer?

We move through such stages when creating a software solution for you.

Analysis
We analyze the request and look at the market and competitors. We form a development proposal based on the goals and objectives of the project.
Full cycle of services
We will help you go the whole way of creating your software solution - from the idea of a product to its publication on the sites.
Control
We inform the client about the stages of developing a software solution. After that, we sum up the intermediate results of the work done.
Testing
When debugging applications, we check the written code, ensuring that it will be convenient to maintain in the future.
Support and maintenance
We improve applications and add new functionality. We make sure that operating system updates do not interfere with the operation of applications and also fix problems.
Case Studies
eCommerceNutriTrack mini app

NutriTrack Mini-App: A Complete Mobile Service Integrated into a Telegram Bot

eCommerceKimito: Online Beauty Supply Store

We developed a fast and visually stunning online beauty shop specializing in Korean cosmetics.

EducationDRAGI: A College Entrance Examination App

We have created a solution for school graduates - a mobile app for preparing for entrance exam.

HealthcareNutriTrack: Digital dietician in your smartphone

We created a mobile AI assistant with a healthy diet tracker.

eCommerceVoyage App: AI travel planning app

We were approached by a client who needed to build an application for booking flight tickets and hotels different from competitive ones. Thus, the client decided to go beyond the standard functionality for this solution – in addition to booking capabilities, it should also offer users possible leisure options in a new location. The conceived idea for this additional functionality was intended to be implemented through the introduction of artificial intelligence.

Oil & GasVoltVault: Utility Mobile App

We developed a user-friendly app for iOS and Android that allows customers to manage and monitor their gas accounts.

Logistics (Transportation)DriverQF: HRM platform for logistics service providers

We digitized the processes of driver qualification, compliance, and document flow for transportation companies.

eCommerceLYNQ: Zodiac Dating App with Gamified Matches

We created themed dating app enriched with unique features.

eCommerceShyp-Shyna: New level of eCommerce quality for a tire retailer

A new online store implemented without traffic and SEO sacrifices

Logistics (Transportation)Custom GPS Attendance App for Logistics Company

We were approached by a company that needed to monitor personnel’s check-in and check-out moments.

eCommerceINFO: digital ecosystem for a network of online media

From scratch, we developed a large-scale news platform with web resources, a mobile app, and a multi-admin panel.

eCommerceThe Kaztour Travel App: Case Study

We created a mobile travel agency app and it was downloaded by more than 35 thousand users.

Questions & Answers

Check out some of the most common questions asked by the clients

What is CoreML?

CoreML is a framework designed by Apple, inc. that allows you to work with machine learning technologies. As for the purpose, Core ML is designed to seamlessly take advantage of powerful hardware technology including CPU, GPU, and Neural Engine.
CoreML benefits include the fact that it is highly optimized for on-device performance, has on-device implementation that ensures data privacy, imports models from a cloud platform, and is compatible with most of the popular learning models. Basically, CoreML is an easy way to get up and going in the Apple ecosystem for on-device machine learning.
To load a CoreML model and integrate it to your application, simply add a model to your Xcode Project, create the model in code, get input values to pass to the model, use the model to make predictions, and build and run a Core ML application.

Use CoreML in your project 

CoreML uses machine learning algorithms to improve user interaction with the application and ensure data reliability. In addition, solutions created on its basis allow using such features in the software as computer vision, speech recognition, and sound analysis. If you would like to discuss your project, please, contact us.

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