Machine Learning and Data Science
Take full advantage of cutting-edge AI/ML models and Data Science solutions to address your industry challenges and organisational needs with precision.
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Data is the new oil. Do you know how to leverage it?
We can support you with AI strategy design and implementation of Data Science projects and AI models. We use state-of-the-art models and MLOps practices to quickly deliver working solutions. After the deployment, we can monitor the performance of the models to maintain the quality over time.
Read more about how we help our clients build classification models in our case study.
Predictive Maintenance
With modern AI techniques, you can achieve real-time asset monitoring, avoid unnecessary maintenance, reduce sudden breakdowns, increase asset life and prioritise maintenance. With the increasing quantity of IoT data, we can build reliable digital twins, help you optimise your operations and build a truly smart factory.
Sales Forecasting
Accurate Sales Forecasting is crucial in business planning and risk management. It allows the efficient allocation of resources, providing the demand for raw materials, estimating revenue and planning investments. We can employ the latest forecasting frameworks and integrate various data sources, both internal (historical sales, marketing activities) and external (macroeconomic data) to improve our client’s forecasting methods. Check our case study to find out more about this solution.
Our demo: Churn prediction using AutoML on GCP and Looker dashboard
Smart Cities
Developing Smart City Solutions can create value in numerous ways: increased life quality, improved infrastructure, reduced environmental footprint, water management efficiency or better traffic management. We have experience working with publicly available data streams and modelling public transportation services.
Debt Repayment Prediction
Machine Learning methods could be used to classify clients that will be able to pay their debts and even predict the amount that will be repaid. Using historical data of debtors’ past payments and interactions, our team can build AI models to make individual and portfolio predictions for better decision making and business strategy. Similar techniques could be applied for credit scoring.
Simulation
In challenging times, it is crucial to identify the biggest risks and understand their impact. By leveraging Data Science techniques, we can build Simulation engines to model the behaviour of a given system in various scenarios, such as disruptions in supply chain networks, or the spread of infectious diseases like COVID–19 in cities, depending on restrictions. Simulation techniques could also be used to optimise workforce allocation.
Our demo: Modelling the spread of Covid-19
Our partnerships
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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
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