NLP Solutions in Kharkiv
Unlock the power of language
Kharkiv is Ukraine's second city and scientific capital — home to Kharkiv National University's world-class physics and mathematics departments creating Ukraine's deepest engineering science talent pool.
NLP Solutions for Kharkiv Businesses
Key Industries
Tech Ecosystem
Companies in the area: EPAM Kharkiv, Ciklum Kharkiv, Kharkiv National University, Ring Ukraine, ELEKS
Service Overview
Natural language processing enables computers to understand, interpret, and generate human language. NLP powers search, analysis, translation, and content generation at scale.
We build NLP solutions for text analysis, information extraction, sentiment analysis, and language generation. Our solutions handle multiple languages and domain-specific terminology.
With advances in large language models, NLP capabilities have expanded dramatically—we help you leverage these advances.
Why Devsdom?
Key Benefits
Why Kharkiv companies choose Devsdom for nlp solutions
Text analysis and classification
Entity extraction
Sentiment analysis
Multilingual support
Domain-specific models
LLM integration
Common Use Cases
Document classification
Search and discovery
Customer feedback analysis
Content moderation
Automated summarization
Success Stories
AI-Powered E-commerce Personalization Engine
Challenge
A mid-market e-commerce company wanted to compete with larger players by implementing sophisticated product recommendations and personalized shopping experiences.
Solution
We built a real-time ML-powered recommendation engine using collaborative filtering and content-based algorithms, integrated with their existing Shopify Plus store and custom inventory system.
Outcome
35% increase in average order value, 28% improvement in conversion rate, 45% reduction in cart abandonment, and 4x ROI within 6 months.
Content Recommendation Engine for Streaming Platform
Challenge
A streaming service with 10M+ subscribers needed to improve content discovery and reduce churn through better personalization.
Solution
We developed a hybrid recommendation system combining collaborative filtering with content-based analysis, integrated with their existing content delivery infrastructure.
Outcome
40% increase in content engagement, 25% reduction in subscriber churn, and 15% improvement in average session duration.
Industries We Serve
Fintech
Secure, compliant financial technology solutions
Healthtech
HIPAA-compliant healthcare technology
SaaS
Scalable subscription software platforms
E-commerce
High-converting commerce platforms
Media & Entertainment
Engaging digital content experiences
AI Startups
Build AI-first products faster
Enterprise IT
Transform enterprise technology
Our Process
A proven methodology for delivering successful projects
Frequently Asked Questions
What NLP solutions do you offer?
We build sentiment analysis, text classification, named entity recognition, document summarization, translation, and semantic search systems.
Can NLP work with multiple languages?
Yes, we build multilingual NLP systems supporting 100+ languages. We use transformer models and can fine-tune for specific language pairs or domains.