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R&D Center

We Learned from Projects.
We Turned Them into Products.

Since 2017, our R&D Center has been transforming generative AI, large language models, and machine learning technologies into solutions for enterprise business challenges, developing industry-specific AI solutions. From enterprise chatbots to intelligent document processing, from predictive analytics to process automation, we have delivered projects across a wide spectrum.
Our Approach

Not a Lab, the Field. Not Theory, Results.

Our R&D Center is not an academic laboratory; it is a production center fueled by real-world enterprise challenges. Every project responds to a concrete need from the field. Every output is tested against measurable business value.
1
Problems Born from the Field
Every R&D project originates from actual enterprise challenges encountered in the field, ensuring relevance and practical applicability.
2
Cross-Disciplinary Design
Our teams blend domain expertise with data science, engineering, and business analysis to create holistic solutions.
3
Measurable Business Value
Every solution is evaluated against concrete business metrics, ensuring that R&D outputs translate directly into enterprise impact.
Technology Competencies
Technologies that Build Corporate Intelligence
The AI and data science technologies used in our R&D center are designed to enhance the speed, accuracy, and predictive capacity of enterprise business processes.
Natural Language Processing (NLP)

Text classification, summarization, and automatic tagging.

Use cases: Contract analysis, automatic document classification, sentiment analysis.

Machine Learning

Demand forecasting, risk scoring, and anomaly detection models.

Use cases: Demand forecasting, customer churn prediction.

Data Mining

Analytics infrastructure that discovers hidden relationships in large datasets.

Use cases: Basket analysis, customer segmentation, trend discovery.

Decision Support Systems

Real-time dashboards and predictive analytics tools.

Use cases: Executive dashboards, scenario analysis, KPI tracking.

Deep Learning and Neural Networks

CNN, RNN, and transformer-based models.

Use cases: Image recognition, time series forecasting, classification.

Generative AI (GenAI)

LLM integrations, intelligent content generation, and automated report creation.

Use cases: Enterprise chatbots, automated report generation, natural language data querying.

Large Language Models (LLM)

Fine-tuning GPT, Claude, and open-source LLMs with your enterprise data.

Use cases: Fine-tuned industry-specific models, RAG-based knowledge assistants, intelligent document analysis.

AI Projects
Solved with AI. Proven with Results.
Intelligent Document Processing
Automatic reading, classification, and transfer to ERP of documents such as invoices, contracts, and waybills using OCR + NLP.
Predictive Analytics
Demand forecasting, inventory optimization, and risk scoring powered by machine learning models.
Enterprise AI Assistant
An LLM-based assistant integrated with the company’s internal knowledge base, capable of natural language question-and-answer interactions.
Process Automation
Intelligent automation of repetitive business processes using AI and RPA technologies.
In numbers

We Measure Our Productivity in Numbers

R&D Center Founding Year
2000
Years of Industry Experience
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Completed R&D Projects
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Core AI Technologies
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FAQ
Frequently Asked Questions
What AI technologies does the Experteam R&D Center use?
Generative AI (GenAI), large language models (LLM), NLP, machine learning, deep learning, data mining, image processing, and decision support systems.
AI-powered tools and platforms designed to solve specific enterprise challenges, including predictive analytics, process automation, intelligent document processing, and conversational AI assistants.
LLMs are fine-tuned with enterprise data to create industry-specific models, RAG-based knowledge assistants, and intelligent document analysis systems that understand and process domain-specific information.
Timelines vary depending on scope and complexity, but typical enterprise AI projects move from proof of concept to production deployment within 3 to 6 months.
GenAI enables enterprise chatbots, automated report generation, natural language data querying, content creation, and intelligent document processing at scale.

Let us develop solutions tailored to your enterprise needs with our R&D capabilities.

For solutions beyond standard software, data-driven and industry-specific, let’s talk.