Services | TECHNOLOGY
Natural language processing (NLP)
Natural Language Processing or NLP is a branch of AI that focuses on enabling machines to understand and process written or spoken information. It allows us to build applications that can organize large volumes of data in a matter of seconds, optimize document management, analyze brand perception, and many more.
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Information extraction & document population
The technology speeds up document processing by using advanced customizable search and extraction algorithms to work with large volumes of structured and unstructured text data. When integrated into business workflow, it can automatically pre-populate various templates (documents, CRM-tickets, etc.) with relevant and up-to-date information from multiple sources.
Key features:
Multilingual support
Our solutions fully support 30+ languages.
Common use cases:
Automated CRM data entry
Internal document workflow automation
Legal contract analysis
Case studies:
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Document summarization
The technology enables the generation of a coherent and fluent summary of the main points of any text (meeting notes, analytical reports, research papers). It can help you understand the main points of the 20-page document in a matter of minutes. That is why document summarization applications are always in demand.
Key features:
Multilingual support
Our solutions fully support 30+ languages.
Common use cases:
Internal document workflow
Meetings and video conferences summarization
Medical cases
Case studies:
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Text classification
Text classification is an application of NLP that automatically categorizes text into predefined categories or labels. Text classification is commonly used in a variety of applications such as email filtering, sentiment analysis, topic modeling, and text categorization. With automated text classification, the business team gets quick access to any required information.
Key features:
Progressive learning capability
The system will improve itself with every use based on every correction you make.
Common use cases:
Social listening tools
Customer support automation
Internal documents categorization
Case studies:
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Sentiment analysis
Sentiment analysis, also known as opinion mining, is an NLP method for identifying the positivity, negativity, or neutrality of data. Businesses frequently conduct sentiment analysis on textual data to track the perception of their brands and products in customer reviews and to better understand their target market, customer feedback categorization, toxic speech detection, etc.
Key features:
Out-of-the-box API
Our system has learned to recognize offensive speech, hate speech, positive sentiments, etc. No additional manipulations are required to launch and the system is ready for use, which saves you effort on integration and time for launching a new feature or product.
Common use cases:
Social listening tools
Customer feedback analysis
Market research applications
Case studies:
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Document matching
Document matching allows you to integrate, search and gain insights from large volumes of text data. Our solution ensures that you can quickly search through millions of documents without missing any important information.
Key features:
No other similar SaaS solutions
The product is based on a unique internally developed approach to NLP.
Common use cases:
CV matching tools
Legal document analysis
Medical document analysis
Case studies:
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Content generation
AI content generation refers to the use of software that automatically creates written or visual content for various purposes. This can include writing blog posts, social media copy, legal contracts, landing pages, marketing materials, and more. There is a growing trend toward using AI for generating audio and video content as well.
Key features:
Out-of-the-box API
Our system is already trained on a massive amount of data, so it will immediately start generating content at your request.
Common use cases:
Writing assistant
Blog post creation
Social media content
Case studies:
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