15 Ukrainian Natural Language Processing Companies

The development of artificial intelligence these days has not yet reached its heights, but it is at a stage of rapid development. Smart technologies are among us, and we don’t even notice them. For example, artificial intelligence can do many things, from autopilot to writing stories or even music.   

The last decade has brought us a lot of technology and made it possible to analyze large amounts of data, which has increased productivity and speed of work. As a result, new algorithms and technologies also began to emerge. 

In 2017, the global Artificial intelligence startup funding was estimated at $17.8 billion. In 2021, this figure increased 2 times to $38 billion. Whatever mass-produced product you use today, rest assured that machine algorithms did most of the work of creating it. 

We all know that for a company to stay afloat, it must keep up with new technologies. AI solutions, in this case, are the driver of businesses and technologies. They make some processes easier, allowing you to focus on something that requires more intervention.  

We encounter new technologies in almost every level of human life:  production and marketing ( forecasting of demand and required volume of production), logistics (compilation of the optimal route for transport), finance (optimization of banking processes, automation of trading on the stock exchange), and other areas. 

What Is Natural Language Processing? 

NLP is more than just Neuro-Linguistic Programming. It is also natural language processing, which literally translates as “natural language processing.” Natural language refers to the language of speech that we use in everyday life to express our thoughts, and processing refers to the ability of artificial intelligence to understand our language as it is.

Thus, natural language processing is the ability of programs based on artificial intelligence technologies to understand human language in its natural form, as phrases and sentences are written and pronounced in natural speech, oral and written.  

According to Forbes, we are entering the Golden Age of Natural language Processing. It claims that NLP solutions brought a state of trust to the online world. Companies that just started their business can do something in a short period of time when a few years ago it could take more time and resources. It is worth mentioning that Computer Vision startups are also working with people to help them in daily life. 

How Does Natural Language Processing Work? 

The path of artificial intelligence and natural language processing development was very thorny and full of disappointments both from scientists and structures potentially interested in such developments. Nevertheless, today, every smartphone owner can verify that the gadget understands its “owner” quite well without serious defects in diction and pronunciation. 

Companies can also get qualified services from NLP expert that works for natural language processing consulting companies. NLP consulting firms know everything about this service and know how to make it profitable for business. 

There are a few main steps that can explain how NLP works: 

  1. A person records their voice or just says something. 
  2. The machine processes everything that is said. 
  3. Audio transforms from numbers into text.  
  4. The NLP system divides the text into components, understanding the context of the conversation and the person’s intention. 
  5. Based on the results of NLP, the machine determines which command should be executed. 

Lots of details stand behind those simple steps: hidden meanings in human speech, accents, tautology, new words, etc. All of that things create confusion in machine understanding. Therefore, no matter how simple the tasks may seem, our language is not natural for a machine, and their solutions are quite complex because of that. 

Why Is Natural Language Processing Important? 

As we mentioned earlier, NLP service is being used more and more these days. It is one of those AI technologies that are gaining popularity. One of the main values ​​of NLP is that it focuses its attention on the contexts and subtexts that people attach to the phrases they say.  

One of the main values ​​of NLP is that it focuses its attention on the contexts and subtexts that people attach to the phrases they say. Human language is not direct or straightforward; we always add some additional meaning or talk about deep things in simple words. 

NLP service is also important because, with its help, computers can connect with people and set various tasks by using their own language. NLP helps computers read documents or content and analyze human voices and words.  

As we all know, machines literally can do more than people, so they analyze more information. Nowadays, every company or organization receives a lot of unstructured data every day, which needs to be processed quickly and efficiently. Process automation is an extremely important technology for all fields, from medicine to marketing. 

What exactly do we mean when we talk about unstructured data? Human language is a complex concept. Each has its own grammar and punctuation, several dialects, slang, and terminology. And don’t forget about spelling mistakes, abbreviations, and borrowing words from other languages. 

The value of NLP lies in the fact that it not only helps to understand the subtext and context of human language directly but also creates a strong numerical structure for future programs such as text recognition and analysis. 

What Is Natural Language Processing Used For? 

There is a large number of spheres where we can use NLP. For example, analysis of the mood, forecasting, machine translation, voice control, speech recognition,  execution of commands, etc. Natural Language Processing startups always working on something new. 

NLP is also used in medicine to improve patient care, maintain medical records and search for key terms in the professional literature. With its help, robotic doctors compare the symptoms of patients with the corresponding diagnoses and monitor the course of the disease.

Moreover, the data processing and predictive capabilities make it possible to use NLP for crime prevention. Using it, the police can analyze criminal activity, figure out the code words of criminals in advertisements, and respond faster to avoid violence and human trafficking. And this is probably the most impressive usage of NLP to date.

Top 15 Ukrainian Natural Language Processing Companies 

Ukraine provides the world industry with the best personnel. Requests for Ukrainian engineers are constantly growing.

Over the past 5 years, the number of IT specialists in Ukraine has doubled. At the same time, more than thirty companies who specialize directly in AI work in Ukraine. Considering how quickly the market is developing, the demand for developers will only increase. 

By working with NLP consulting firm from Ukraine, you choose high-quality NLP as a service for a reasonable price. Natural Language Processing companies, in cooperation with research and development teams, will help you analyze, adapt, and create a new product or other Natural Language Processing services.

We prepared the list of the most promising and high-achieving Natural Language Processing Ukraine consulting companies. 

1. Agiliway 

Natural Language Processing Agiliway

Services: Custom Software Development, IT Outsourcing Consulting, Data Analytics Services, Custom Web Development, Mobile Design & Development, Quality Assurance & Software, Testing, Business Process Outsourcing, CRM Implementation Services

Industries: E-learning, Fintech, Logistics, Retail, Healthcare, Media, HR, Hospitality, NGO.

2. AnvilEight 

Natural Language Processing AnvilEight 

Services: Engineering, Big data and analytics, Internet of Things, Product design. 

Industries: Business and Financial Services, Education. 

3. Dataforest 

Natural Language Processing Dataforest 

Services: Custom Software development, Machine Learning and Advanced Analytics, Data visualization and dashboards, Natural Language Processing. 

Industries: eCommerce, Financial service, Information technology, Advertising and Marketing, Medical, Retail.

4. Springs

Natural Language Processing Springs 

Services: UI/UX Design, Web and Mobile Development, Project Management, Quality Assurance, Support and Upgrade. 

Industries: Business services, GPS, Navigation & GIS, Information technology. 

5. Unicsoft 

Natural Language Processing Unicsoft

Services: Blockchain, Artificial Intelligence, Machine Learning, Data Science, Natural Language Processing, Big Data, Data Analytics, Computer Vision. 

Industries: Supply Chain, Fintech, Healthcare, Manufacturing, Automotive, Retail & E-commerce, Marketing & Media.

6. DataRoot Labs

Natural Language Processing DataRoot Labs

Services: AI Solutions development, Dedicated AI and ML team, Startup Venture Services.

Industries: Automotive, Education, Energy and Natural resources, GPS, Navigation & GIS, Medical, Real Estate. 

7. Requestum

Natural Language Processing Requestum

Services: Web and Mobile Development, UI/UX Design, QA and Testing, Business Analysis, Data Science, IoT, DevOps.

Industries: Business services, Real estate, Supply Chain, Logistics, and Support. 

8. The APP Solutions 

Natural Language Processing The APP Solutions

Services: Business Analysis, Mobile Strategy,Prototyping, UX/UI Design, Native App Development, Web Development, Testing, Publishing, Continuous Support, Machine Learning Engineering, Cloud Engineering, and Data Engineering.

Industries: Medical, GPS, Navigation & GIS, Advertising & Marketing, etc.

9. WeAreBrain 

Natural Language Processing WeAreBrain

Services: Custom Software Development, Artificial Intelligence, Digital Strategy, Mobile App Development. 

Industries: Retail, eCommerce, Consumer products & services, Education.

10. Quantum

Natural Language Processing Quantum

Services: Dedicated Team, Solutions Development, Technology Consulting, Data science research, Smart-contract audit.

Industries: Information technology, Business services, GPS, Navigation & GIS, etc. 

11. DevRain 

Natural Language Processing DevRain

Services: Applied Artificial Intelligence on Microsoft Azure, Digital Workplace with Microsoft Teams, Intelligent Digital Assistants, Custom Solutions for Enterprise on Microsoft Azure

Industries: Business and Financial Services, Medical, Nonprofit, Real estate, Retail, eCommerce, etc.

12. Dysnix 

Natural Language Processing Dysnix

Services: DevOps as a Service, Blockchain App Development, AI/ML

Industries: Financial services, Gambling, Information technology, Advertising and Marketing, etc.

13. Intellica

Natural Language Processing Intellica

Services: Blockchain Development, Data Science Services, Product Development, Team Extensions, DevOps, Web/Mobile Development, User Experience, Quality Assurance, Financial Planning

Industries: FinTech, InsureTech, Logistic & Transportation, Hospitality & Real Estate, Internet Of Things, Telecom, Energy, Education, AdTech & Media

14. MindCraft 

Natural Language Processing MindCraft 

Services: AI

Industries: FinTech, Retail, Automotive, E-commerce, Manufacturing, Farming, Marketing & Advertising, Science 

15. 8Allocate

Natural Language Processing 8Allocate

Services: Managed Projects, Dedicated teams, Backend Development, Front-end development

Industries: Financial services, Education, Other industries

Don’t know where to find a specialist that will solve all of your problems? Try Ukrainian developers!

The post 15 Ukrainian Natural Language Processing Companies first appeared on Squadrity.



source https://www.squadrity.com/15-ukrainian-natural-language-processing-firms/

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