Machine learning & research
Individual and group university projects span multi-agent reinforcement learning, spectral anomaly detection and network intrusion detection. The portfolio records the methods, results and project attribution.
The studio · Bristol, UK
Understand the possibilities.
Take a practical next step.
BrisAI brings practical consultancy, hands-on training and custom building together. We help small businesses and teams understand where AI can help, learn to use it effectively and develop useful tools. Based in Bristol, we work with businesses across the UK.
We investigate the problem, design the experience and engineer the system around it. Start with a bounded service package or commission a custom application, knowledge assistant, integration or evaluated prototype. You work directly with Art, from the first conversation through to handover.
Connected delivery
Discovery, architecture and implementation stay connected throughout the project. You get visible progress, decisions explained in plain English and a clear scope for delivery and support.
Based in Bristol, working with businesses across the UK.
Who you’ll work with
Art Wieczorkowski
Founder & Applied AI Engineer
Art leads BrisAI’s discovery, architecture and implementation. A Computer Science and Electronics MEng graduate of the University of Bristol, he brings experience in software engineering, machine learning and research to practical business applications. You work directly with the engineer responsible for your system.
His work spans multi-agent reinforcement learning, network anomaly detection and deployed AI software. His individual MEng research received the 2026 Best Enterprise Master’s Computer Science Project award, sponsored by HP. The technical portfolio documents the projects and their original attribution.
Engineering depth
Experience across AI, software and systems.
Custom AI software
Working studio applications connect retrieval, structured model outputs, interfaces and backend services. Ask BrisAI makes that application engineering available to explore.
Practical evaluation
Recorded evaluations examine behaviour, failure modes and the work left for people. Those methods help make delivery decisions explicit and systems easier to improve.
From first conversation to a system you can use.
01
First conversation
Understand your goals, the people doing the work and the opportunity. Agree what a useful improvement looks like.
02
Agree the scope
Choose the approach, test feasibility and make the important decisions before committing to a full build.
03
Build & test
Develop in visible stages. Test real tasks, awkward cases and the behaviour your business needs to rely on.
04
Handover & optional care
Put the system into use with documentation, clear ownership and an agreed route for maintenance and improvements.
Every proposal establishes scope, acceptance criteria, ownership and estimated running costs. Handover includes documentation and agreed responsibilities, with ongoing care available. Explore our approach to data and security.
Your next step
Start with a conversation.
Find a useful next step.
Bring a question, a goal or a task you would like to improve. Art will review your enquiry and suggest a useful next step. Any proposed work comes with a written scope and price.