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 experts
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.
Meet our experts
AI consultant and data scientist with over five years of experience leading AI-driven projects. His expertise spans advanced applications of AI, particularly in computer vision, generative techniques, and deep learning model development. As a Lead AI Data Scientist and Consultant hehas successfully overseen cross-functional teams in projects ranging from biometrics to investment platforms, ensuring strategic and technical alignment. He combines technical excellence with business-driven outcomes.
Meet our experts
I am a data scientist with a PhD in Mathematics and an MBA, offering over 20 years of diverse experience in the Automotive, Finance, and Software Development sectors. My recent expertise lies in Responsible AI and Large Language Models, leveraging advanced technologies to deliver innovative solutions. I am proficient with cloud platforms, including AWS, GCP, and Azure, and maintain a cloud-agnostic approach to ensure flexibility and tailored solutions. Throughout my career, I have successfully led teams, managed complex projects, and taught Mathematics and Computer Science at the university level. My core strength lies in collaborating with customers, understanding their needs, and driving measurable growth through impactful, business-aligned solutions. I bring a unique combination of technical expertise and strategic acumen, consistently focused on delivering value and fostering success.
Meet our experts
Machine Learning Engineer specialising in building deep learning solutions for clients in the geospatial industry in a cloud native fashion. Combining deep and practical understanding of technology, computer vision and AI with experience in big data architectures. Data geek by heart. Always on the lookout for new challenges and opportunities to apply his expertise to help companies succeed, particularly in the areas of climate and environment monitoring.
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