Text Analytics and Natural Language Processing
Expand the innovative capabilities of your products with text processing AI systems based on advanced language models.
HOW WE CAN HELP
Do you want to process documents and texts at scale?
We can support you with building documents and text processing AI models. We have a proven track record of leveraging modern NLP and Generative AI models like Google Gemini or OpenAI GPT to speed up and optimise business processes.
Generative AI and Large Language Models
LLMs like OpenAI’s ChatGPT and GPT-4 are trained on massive amounts of data and can generate high-quality, human-like text in a variety of styles and contexts. We have experience using those models in enhancing customer experience with conversational AI such as chatbots and virtual assistants, automating content creation for a variety of use cases and extracting insights from unstructured data. Let us help you harness the power of Generative AI to take your business to the next level.
Information Extraction
Using advanced language models, we can quickly create AI systems to extract Personally Identifiable Information (PII), key phrases important for the given document or named entities such as people names, organisations, locations or technology tags. Extracted information could be used to automate document processing in the organisation.
Our demo: Using financial reports to predict stock prices (Lazy prices)
Text Classification
Processing documents very often varies depending on their category or type. Customer orders or claims are handled differently depending on the product they refer to. Customer answers could be scored, and different recommendations could be presented based on customer input. Building custom Text classification engines could help speed up or fully automate text or document processing.
Our demo: Matching employees to job offers and projects
Sentiment Analysis
Measuring the sentiment of customer claims, feedback or online opinions is used by companies to keep track of what their customers think about the products or services and notify and alert about cases when a company’s reputation could be damaged. It could be used to apply adaptive customer service, give live insights to agents, speed up escalations and reduce customer churn.
Read more about Customer Sentiment Analysis in our article.
Our demo: Monitoring trends in the job market
Data Quality and Duplication
Modern NLP techniques could be used to investigate and keep the quality of the databases at a high level. Databases containing product names or bills of materials very often have repeated records, which makes it difficult to analyse and aggregate. AI models could help group the same products, reduce data duplication and detect additional metadata like product volumes.
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Meet our expert
Drawing on my background in IT and business, I managed analytics projects across various sectors, including telecommunications, retail, automotive, and healthcare. My experience included developing predictive models that drove decision-making, scaling data science teams to support startup growth, and leading comprehensive digital transformation initiatives for large corporations. I have a proven ability to translate complex technical solutions into actionable business strategies, ensuring they align with organisational goals. In addition, my postgraduate management studies, based on an MBA curriculum, have honed my leadership, strategic planning and effective communication skills, enabling me to deliver tangible results and drive sustainable business growth.
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