Understand the business process and assess available data relevant to the business problem.
Understand existing processes and systems. Evaluate infrastructure requirements for new tech.
Translate commercial objectives into technical problem(s) that technology can address.
Identify relevant solution domain(s). Evaluate Open Source models vs Building bespoke
Define solution architecture and integration, Develop a roadmap and assess timeline and resources.
Deliverables
Outcomes
“We have had the pleasure of working with Brainpool for the last year. We started with a scoping exercise which we then commisioned an AI application for designing timber floors. We think it will increase our productivity by about 100%, so we will get twice as many floors designed as we could do with the resources we have.”
Dr Luke Whale, Technical Director, Staircraft

“We invited Brainpool to participate in the initial definition workshop for Fujitsu's AI ecosystem in Europe. They really brought a level of knowledge and enthusiasm to the session. All stakeholders were thoroughly impressed with their experience in machine learning projects and their business model agility - I would not hesitate to recommend them!”
Leigh Schvartz - Head of Product Innovation, Fujitsu UK
“We absolutely love working with the Brainpool team and would highly recommend their services to anyone with serious interest in machine learning development. We have been thoroughly impressed with their knowledge and work ethics.”
Mark Sykes - CTO at First Derivatives
“Their rigour and determination to use AI and ML to solve problems in order to help small business customers was second to none. Without a doubt, I will absolutely keep this mind for future endeavours and recommend Brainpool network for projects looking for cutting edge AI talent.In this we could not be happier with the partnership with Brainpool.”
Ameet Benegal - Director, HSBC Global Commercial Banking
“We needed to classify customers and prospects based on an algorithm that included route optimisation logic. The consultant was able to frame the problem, cleanse and organise our data and plan the solution.”
Arthur Goujon - Digital Operations Manager, Suez Environment
“Whilst planning our strategy to develop an AI and Machine Learning practice we recognised the involvement of top-grade Data Scientists would be essential to success. In this we could not be happier with the partnership that has flourished with Brainpool.”
Greg Lee - AI Solutions Consultant, Meridian IT
“I will definitely keep Brainpool in mind for future cooperation. It's been a real pleasure to work with you and Brainpool team!”
Vladimir Hlavka - Senior Repair Services Engineer, Zebra Technologies
“We would certainly recommend Brainpool as an AI partner. They combined practical organisation with creative flair in a manner that was engaging to work with, but also allowed us to get the job done. They will be our first port of call when developing initiatives in this area in the future.”
Rob Maybin - Clinical Project Manager, Ultramed
“Working with Brainpool gave us the opportunity to actually get an AI product into production not just a prototype. That experience helped us learn how to build, deploy, and maintain AI solutions across our business.”
Kevin Phillips - Director of AI Product Strategy at Symetri
“Brainpool delivered a modular detection SDK that fundamentally changed how we approach market abuse surveillance. The real breakthrough is coverage; we're now detecting coordinated abuse that would have been invisible before. They understood both the technical complexity and the need to keep everything explainable for compliance teams.”
Matthew Storey - CPO & Co-founder, SteelEye
“Brainpool AI helped define AI for Enlyta Insights—semantic search, summarisation, storytelling, and strong POCs. They gave us a scalable foundation across architecture, security, and data protection, so we could evolve with confidence. A capable partner I would recommend for building AI responsibly.”
Art Stivison - Product & Platform Owner, Enlyta Insights
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