Computer Vision

Become the leader of your sector by boosting your products with Computer Vision and AI models for image, video, and data processing.

HOW WE CAN HELP

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 Visionbased 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.  

Our partnerships

Meet our experts

Tomasz Smolarczyk
Head of Artificial Intelligence

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.

Tomasz Smolarczyk

Meet our experts

Mateusz Ćwiek
Lead AI Data Scientist 

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.

Mateusz Ćwiek

Meet our experts

Piotr Szajowski
Lead AI Data Scientist

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.

Piotr Szajowski

Meet our experts

Michał Wierzbiński
Lead ML Engineer

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.

Michał Wierzbiński

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Tomasz Smolarczyk

Tomasz Smolarczyk

Head of Artificial Intelligence