Computer Vision
Become the leader of your sector by boosting your products with Computer Vision and AI models for image, video, and data processing.
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Do you want to process images and videos at scale?
Empower your business with Computer Vision and image processing AI models. This includes our support with the data preparation and labelling, model training, optimisation and deployment using best MLOps practices.
Autonomous vehicles
Autonomous Vehicles are becoming a reality. And we know how to build them. Our experience includes autonomous steering systems, ADAS systems, AI models for radar/LIDAR data to detect pedestrians, cyclists and other cars, and automating the labelling recordings from self-driving cars.
Read more how we automate the labelling for videos taken by autonomous cars in our article.
Vision-based quality control
Building on our vast experience with Industry 4.0, we help our clients reduce costs and downtime with Computer Vision–based Quality Control. You can enhance the productivity and accuracy of the manufacturing process or use it to automate your machine operations. All of this can be achieved with a Cloud-based Solution or AI models deployed on edge devices.
Check how to build AutoML models for quality control in our article.
Our demo: Quality inspection of production line defects
Geospatial
Given the vast amount of satellite and aerial imagery, it is impossible to process them manually. We help our clients automate data processing to analyse the environmental impact, detect landmarks, horizontal road signs or building changes and assess war damage using AI.
Medical imaging
Augmenting human intelligence with AI can lead to optimised medical image analysis, reduced medical errors and less work for human doctors while achieving better results. The AI could leverage the vast amount of data to find patterns and enhance doctors with additional insights.
Our demo: Automated blood cell count for malaria detection
Our demo: Skin disease identification
Sports analytics
AI technology is already widely used in sports to help referees make proper decisions and detect Maradona’s Hand of God situations or to assess player performance which is game-changing in player scouting like in the movie Moneyball. It could also be used to engage and delight fans with additional insights like we have seen in Formula 1.
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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