Text analytics and natural language processing
Expand the innovative capabilities of your products with text processing AI systems based on advanced language models.
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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.
Ex-McKinsey and EMBA graduate. GCP-certified, providing board-level strategic AI advisory. I partner with C-suites at global enterprises to scope, de-risk, and design large, production-grade (agentic) AI systems. After McKinsey, I led analytics and AI in high-growth startups and scale-ups – including healthcare, ecommerce, and finance – turning strategy into shipped capabilities like AI-enabled MarTech platforms, product engines, and decision platforms. In pre-sales and executive forums, I run discovery and architecture sessions, advise on implementation approaches, and align stakeholders to accelerate enterprise roadmaps.
As a Senior AI Consultant at Spyrosoft Solutions, I draw on a hands-on technical background in machine learning to translate complex business challenges into secure, scalable AI strategies.
Throughout a wide variety of experiences across the tech landscape, I have built broad expertise in designing advanced AI solutions for highly demanding domains—primarily Automotive, Healthcare, Industry, and Defence. My technical focus ranges from engineering complex computer vision to designing secure agentic AI systems.
A key part of my approach involves facilitating AI discovery workshops, where I help organisations assess their technological readiness, prioritise high-impact use cases, and build actionable roadmaps that safely accelerate AI adoption and drive tangible business value.
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Tomasz Smolarczyk
Director of Artificial Intelligence