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Artificial Intelligence Development

Outperform your competition,
and become future-ready

One thing we know about tomorrow—we can’t just continue the way it was. The future of work is now. Delivering value in a digital economy requires rethinking our approach. Applying artificial intelligence is a must to empower your projects and people to do their best work.
 
Large corporations and small businesses are implementing artificial intelligence in their processes, from data center monitoring and chatbots to document management and compliance. This is understandable since AI-powered applications are able to analyze data, solve complex problems and learn. Thanks to the latter feature of being able to learn from data, such applications can become not only great assistants for your company, but also make critical business forecasts in the future based on the available data.
 
The OrNsoft team will develop an AI solution from scratch for your business needs or implement a ready-made one into your product.

Different aspects of AI

AI Model
development process

We help you bring together the many elements involved in intelligent process automation to create applications that can learn and draw conclusions. Automated systems that think and act like humans allow you to solve problems and provide services in many ways so people can be free to be more creative and perform complex tasks.

01
01

Project Planning

The first step is to evaluate the client's idea with our team of experts. We take into account the technical requirements of the future project and draw up a phased plan for the development of the AI model. This involves identifying business needs.
02
02

Data exploration

We then understand, summarize, clean and analyze the contents of a dataset, usually for more complex modeling. The results of this analysis help to understand the data structure, distribution of values ​​and relationships among the data.
03
03

ML model training

We use your data to train an ML model. From processing massive amounts of data to minimizing production downtime in the future, a machine learning model can be trained to benefit your business. Our ML models rely on academically peer-reviewed algorithms.
04
04

ML model integration

Once the ML model is well trained and the results satisfactory, the OrNsoft team integrates it into the business solution. Our experts are all skilled software engineers and data scientists and will simplify the entire implementation process and eliminate the possibility of errors.
05
05

ML model deployment

Depoying a model into production can be a relatively quick process, but maintaining it effectively can be resource and time intensive. Here, it is important to choose the right architecture (static, federated or continuous learning) based on your business goals.
06
06

QA, support and further iterations

From the beginning of development, our quality control experts are involved in the process to ensure that your solution works well. In addition, we are committed to solving all problems during the pre-agreed support period and possible future updates.

AI models are used to:

Improve data usefulness

Decipher and organise unstructured data into RPA-friendly formats and use cognitive services to convert images and speech to text. Use capabilities such as cognitive data capture (CDC) and natural language processing and understanding (NLP & NLU) to convert data and enable better interactions.

Extend automated workflows

Amplify your ability to automate work and make smarter decisions to accelerate your production, reduce costs, and unlock your human talent. Get a dashboard to monitor and manage AI-powered  to maximize your operational efficiency and simplify automation efforts.

Improve data usefulness

Decipher and organise unstructured data into RPA-friendly formats and use cognitive services to convert images and speech to text. Use capabilities such as cognitive data capture (CDC) and natural language processing and understanding (NLP & NLU) to convert data and enable better interactions.

Want to start ASAP?

We have advanced skills and ample resources ready to start!

Computer Vision
development process

Computer vision (CV) has become part of our lives even if we don’t notice it on a daily basis. Fixing traffic violations, construction and parking sites, drones and healthcare, retail and agriculture – these are just a few areas of application for computer vision-based solutions to recognize, analyze and classify images or videos.

01
01

Project Planning

The first step is to evaluate the client's idea with our team of experts. We take into account the technical requirements of the future project and draw up a phased plan for the development of the Deep Learning model. Data Science consulting may be required at this step.
02
02

Data labeling and classification

The next step is very laborious and requires a lot of manual work. We name the unclassified data (image, video, text or audio) and attach a highly accurate "tag" to it so that the system can recognize this data in the future.
03
03

Deep learning model training

The labeled data will be used to train the Deep Learning model. We train the deep learning model to solve business problems, such as processing large volumes of data and increasing performance or minimizing errors in the future.
04
04

Deep learning model integration

Once the ML model is well trained and satisfied with the results, the OrNsoft team integrates it into the solution. Our experts are all skilled software engineers and data scientists and will simplify the entire implementation process and eliminate the possibility of errors.
05
05

DL model deployment

Putting a model into production can be a fairly quick process, but maintaining it effectively can be costly and time-consuming. At this stage, it is important to choose the right architecture based on your business goals.
06
06

QA, support and further iterations

From the start of development, our QA experts are involved in the development process to make sure your solution runs smoothly. In addition, we are committed to correcting any errors during the entire support period agreed in advance and future updates, if any.

And much more.. You have a question ? Ask us here

Our company has a lot of experience working with deep learning algorithms and we are happy to guide you all the way to create an effective CV solution to solve your business issues.

Want to start ASAP?

We have advanced skills and ample resources ready to start!

Data Science
development process

In every business, all the data is stored in different places and in different formats. Most of them cannot be used or will not be enough. It is often difficult and time-consuming and the value of their analysis is not high. To get the right business insights from this data and make predictions for the launch of new new products / services / directions, Data Science can come to the rescue. 

01
01

Project planning

The first step is to review and evaluate the client's idea with our team of experts. We take into account the technical requirements of the future project and provide a step-by-step plan for the development of the AI model.
02
02

Data cleaning and integration

At this step, our team identifies and corrects data errors so that we can use them in the future. This is especially important if we combine different systems, if data is stored in different formats, etc.
03
03

Data analysis

We analyze the data collected to understand what we have, and, above all, what is missing for a complete analysis to find patterns and other business insights. Here, the differences in the data chain are clearly visible, as disparate data does not provide a complete picture.
04
04

Data visualization and modeling

Our team proposes a ways to organize the data and visualize it. Graphic forms such as maps, charts, graphs greatly facilitate customer in-depth understanding and further exploration of data.

And much more… Do you have any questions? Ask us here

Our company has a lot of experience working with data and we are happy to guide you
all the way to create an effective data science process.

Want to start ASAP?

Get in touch with us so that we can begin planning!

Digital ideas for Data Science

Analytics

Optimization

Prediction

And much more… Do you have a question? Ask us here

Typical steps to
start your Project

01
01

Send us a project request

Fill up the contact form or email us at info@ornsoft.com
02
02

Confirm your requirements

Let's setup a call to get to know each other better and discuss your project.
03
03

Start your project

If we're a good match - the price & deadline are okay, we can start immediately.

What our clients say about
working with OrNsoft

Turn your projects to reality

Let’s talk about your project – just fill up the form and we will reach you as soon as possible.

Visit Us:

10800 Biscayne Boulevard,
Miami, FL, 33161, USA

Mail Us:

info@ornsoft.com

Phone Us:

+1(888) 808-9498

Send Us a Message