AISEEMO R&D Team – AI Innovation
We design and advance AI analytics tailored to real processes and use cases—from pilot to scale—powered by HybrAI Edge & Cloud architecture.
Stable AI Analytics
With an experienced R&D team, we can both adapt existing solutions and develop new AI analytics tailored to unique needs and specific usage scenarios. Our focus is maximizing real-world performance—where response time, availability, and consistent output quality matter.
We leverage modern AI and deep learning with rigorous validation. A key differentiator is data curation: we ensure training and validation data quality (selection, cleaning, labeling, QA), because it directly impacts analytics stability and accuracy in production.
Our flexible HybrAI Edge & Cloud architecture enables analytics to run either on-prem or in the cloud— supporting privacy, fast response and high availability, aligned with each customer’s environment.
Main experts
Our R&D team builds AI models and analytics designed for production—measurable, maintainable, and deployable in real operational workflows.
Michał Grega, PhD Eng.
Founder | CEO
Graduate of the Top 500 Innovators program at the University of California, Berkeley. Leads high-impact R&D and product initiatives in AI-powered video analytics, including the HEIMDAL weapons detection program. European Commission AI Expert and NCBR expert evaluator, combining scientific rigor with business pragmatism. Co-author of ~80 publications in multimedia data processing; certified IPMA D and IPMA R&D; experienced product/project manager (Traseo).
Andrzej Matiolański, PhD Eng.
Founder | CTO
IT systems architect with 15+ years of experience in image processing and production-grade video analytics. Recognized inventor (Gold Medal—Paris 2014; Silver Medal—Taiwan 2015). European Commission AI Expert, experienced in delivering scalable AI systems from prototyping to real deployments. Certified in SCRUM and PRINCE2, ensuring execution discipline and predictable delivery.
Piotr Guzik, PhD Eng.
Founder | R&D Director
Machine learning and optical systems specialist with extensive experience in national and international R&D programs, including FP7 INDECT, NCBR INSIGMA/INRED/IMCOP, TAPAS, H2020 SCISSOR and HEIMDAL. Focused on translating advanced AI into measurable business outcomes—accuracy, reliability, and deployment readiness.
Let’s build the next AI innovations together.
Share your workflow and business goal—we’ll help you move from concept to requirements, pilot, deployment, and scale.