Case Study
Construction
Our client wanted to reduce time spent on providing manual quotations for their customers in the construction sector.
We designed an LLM-based system that uses the past 10 years of historical data on customer accounts and quotations to automatically produce quotes for new clients.
Thanks to AI all new team members will have instant access to expert knowledge of construction engineers and architects in their company, increasing the oveall team intelligence.
Case Study
Manufacturing
Brainpool team of AI consultants designed a strategy to integrate the "Freight GPT" AI system into the Freight Trading Platform to improve accuracy and efficiency of its operations.
The AI model was designed to accurately price each shipment based on various data points available, such as shipping congestion, seasonality, cargo types.
AI assistant will disseminate information to users, with an initial focus on specific ports in the South China Sea and another undisclosed location.
Case Study
Automotive
Our UK-based client asked us for help with automating manual and time-consuming process of reviewing and approving/rejecting parking ticket appeals.
Brainpool team designed an automated bot which talks to the parking ticket holder to advise them on the local parking regulations in each of the 60 UK regions and makes a decision on whether an appeal should be accepted or rejected based on available decision tree for the specific location.
Case Study
Sciences
Our client’s team currently spends 3-4 hours a day manually researching articles and writing press release content for their clients in the Life Sciences sector.
Brainpool team designed an LLM-based system that automates the manual content production and generates press releases based on the domain-specific data uploaded for each client account.
The tool is estimated to reduce time spent on manual content production by 50%.
Case Study
Sciences
Automation of customer services call centre report processing with Large Language Models.
Our client provides repair services for home appliances in the UK. Brainpool’s team of AI experts developed an LLM-based system that detects what part of a home appliance (e.g. washing machine) is broken, based on the call center report.
Thanks to this AI-powered analysis an engineer can bring the right part to fix the appliance on the first visit. LLMs improved the accuracy of the client's predictions from 50% to 80%.
Case Study
Market Research
Throughout the Scoping Programme Brainpool team designed a Semantic Search system allowing Client's market research platform to instantly find relevant information within vast amounts of historical data and across various document types
Brainpool data engineering experts are supporting the client's team with implementation of the Al capability within their proprietary marketing platform.
Case Study
Finance
Natural Language Processing can help extract information across a variety of documents such as Word, Excel, PPT, Emails, PDF to maximise work efficiency and document processing speed.
We designed the strategy for a development of an NLP platform for a forensics department at one of the top 4 accounting firms (name remains confidential).
Case Study
Finance
Brainpool provided Al expertise for Project Pulse which aimed to build the first cash-flow prediction app for SMEs in the UK. Our PhD-level experts built forecasting models and mobile application components that were implemented into the app.
“We could not be happier with the partnership with Brainpool.”
Ameet Benegal - Director, HSBC Global Commercial Banking
Case Study
Finance
Brainpool team helped Kx Systems data scientists build open-source Machine Learning libraries into one of the most broadly used financial technology in the world called kdb+.
Users were able to call ML models from within their time-series database software, allowing for higher level of automation.
Case Study
Sentiment Analysis
In 2022 Fujitsu commissioned Branpool to build its AlaaS platform. The first product capability that was incorporated into the platform was a Sentiment Analysis tool that allows brands to measure sentiment towards their offering.
For more information go to:
https://www.fujitsu.com/emeia/products/data-transformation/data-driven/ai-test-drive/
Case Study
Retail
Temporal Fusion Transformer (TFT) models are being used to predict item-level demand to a high level of accuracy. Make sure your stock and operational resources are accurately measured and planned for according to the predicted demand
Using TFT we were able to achieve a high level of accuracy of less than 10% MAPE (Mean Absolute Percentage Error) when predicting demand for a US-based restaurant chain.
Case Study
Automotive
Brainpool team developed a machine vision system that can identify electric vehicles in large datasets of CCTV data from cameras placed o n European motorways.
During the PoC the Brainpool team was able to achieve a higher-than-human accuracy of detecting the electric vehicles by the numberplate.
Our network of 500 data scientists enables us to work across a range of industries including Finance, Healthcare, Retail, Marketing, Manufacturing, Construction and more.
“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
