Creed Case Study

Green FinTech Disruptor Creed Partners with Brainpool AI to Track Personal Carbon Footprint.

Industry

Finance

Use-Case

An application that helps individuals track their carbon footprint based on their daily spend

Challenge Domain

Machine learning, data engineering and web development

Background

A green fintech application was developed to address a challenge of tracking and quantifying people's personal carbon footprint. Knowing how much CO2 was emitted with every purchase will help us make decisions based on environmental impact rather than just our finances.

With Creed had to be built from the ground-up. While there was a long-term ambition to be a leader in the fintech space, the first objective was to validate the concept feasibility. Aside from the standard software development requirements in creating a new application, Creed had several other challenges needed to be overcome:

Secure access to customer transaction (purchase) data
Secure access to reliable data on the carbon footprint of various product and service categories, such as groceries, utilities, fuel and public transport
Use this data as input into a carbon calculator to generate personalized carbon footprints for users
Create a mechanism that automatically classifies transactions based on their category

Overcoming each of these challenges was critical to Creed’s core functionality and achieving its objective. Creed's CEO Roshan George sought a partner with the experience in AI, machine learning and data engineering to take Creed from an idea to reality.

After aligning on the business objective, vision, and deliverables, the first step was for Brainpool to complete a scoping programme aimed at identifying the best solutions to the identified challenges, scoping the features and technical specifications for the Creed prototype and defining the development roadmap, resources and investment requirements. Key features of the solution developed by Brainpool include:

Creed web app: provides the front-end UI for users to login in and review their personalized profile and a back-end for data to be exchanged via API
Open Banking API: provides access to information on customer transactions
Carbon calculator: calculate users' carbon profile based on their individual transactions
Machine learning: automatically classify transactions according to relevant categories to improve precision and scalability in the long-term

Key Benefits:

Improve transparency and raise awareness of how our lifestyle choices and purchase patterns impact our personal carbon footprint.
Recommendations to inform environmentally-friendly purchasing decisions.
Provide an effortless way to keep track of your spend and emissions.

“Open Banking means apps like CREED are now possible, but we needed help to take the initial idea and make it into something that actually linked spending to carbon footprint. That’s where Brainpool.ai came in. We are a small, bootstrapped startup, so Brainpool.ai became our AI team, advised on how to approach the challenge, built the proof of concept and helped us take it to the next stage using real-world data.”

Roshan George, CREED founder and CEO.

CREED is a regulated FCA app that is now available via the Android and Apple app stores and enables users to link their spending data with the app. Creed is currently inviting beta customers to pilot the product and provide feedback that will guide future development and features. Creed already achieved 97% banking coverage and is compatible with some of the UK's biggest banking and credit institutions.

Who we work with

Our network of 500 data scientists enables us to work across a range of industries including Finance, Healthcare, Retail, Marketing, Manufacturing, Construction and more.

What they say about us

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 were really impressed by the Brainpool team, they understood what we wanted to achieve and explained how to build exactly what we wanted. Brainpool.ai built a working model that was easy for us to replicate and scale

Roshan George Founder and CEO of WithCREED

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

The Brainpool.ai team has been instrumental in developing the CarbonFixer; they were fast and passionate and have created something very robust that we can soon launch to market.

Eli Gould US Representative at Quebec Wood Export Bureau

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 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

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

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