There are

56 Billion Reasons

to Fix Credit.

We’re reclaiming £56 billion in unnecessary interest expense, by transforming how people access credit.

OUR JOURNEY

How we’re fixing credit access

in the UK

OUR JOURNEY

How we’re fixing credit access in the UK

OUR FIRST USE CASE

Access to Phone Contracts

A Phone Contract

That Delivers Impact.

Get a refurbished phone contract, without your credit score holding you back.

Applying is

 free 

and does

 not impact 

your credit score.

0% interest.

A Phone Contract That Delivers Impact.

Get a refurbished phone contract, without your credit score holding you back.

Applying is

 free 

and does

 not impact 

your credit score. 

0% interest.

A Phone Contract That Delivers Impact.

Get a refurbished phone contract, without your credit score holding you back.

GET STARTED

Applying is

 free 

and does

 not impact 

your credit score. 

0% interest.

OUR SECOND USE CASE

Improving Open Banking Data Quality

Check the accuracy of Noggin’s market-leading categorisation engine on your own data at a granular level, comparing with the industry standard on a transaction-by-transaction basis.

Automatically

Categorise

Transactions

with Confidence

Securely compare performance with market leaders in minutes - no coding required.

Complimentary access is available for a limited time. Transaction data will be used to improve the system.

Automatically Categorise Transactions with Confidence.

Securely compare performance with market leaders in minutes - no coding required.

Check the accuracy of Noggin’s market-leading categorisation engine on your own data at a granular level, comparing with the industry standard on a transaction-by-transaction basis.

PARTNER WITH US

Complimentary access is available for a limited time. Transaction data will be used to improve the system.

LEARN

Our FAQs

What makes Noggin HQ’s categorisation engine more accurate than other existing products?

Our categorised training data of 4,000,000+ transactions was painstakingly annotated by expert annotators, to create a human-verified gold-standard for our automated system to match. The system uses “large-language models (LLMs),” the technology underlying generative AI, to extract information not only from important words, but words and phrases in context, and their interaction with transaction amounts.


Is uploaded data kept private and stored securely?

Yes. All transaction data is encrypted and stored on secure servers. Only necessary members of the data science team will have access to transactions, and we handle all data in accordance with UK and EU GDPR regulations. We can also accomodate bespoke requirements on request.


Does the categorisation engine consider some transactions as more important than others?

No. The categorisation engine assigns all categories as accurately as possible. However, the forthcoming Noggin proprietary credit scoring model will identify the most important categories for predicting the creditworthiness of borrowers.


LEARN

Our FAQs

What makes Noggin HQ’s categorisation engine more accurate than other existing products?

Our categorised training data of 4,000,000+ transactions was painstakingly annotated by expert annotators, to create a human-verified gold-standard for our automated system to match. The system uses “large-language models (LLMs),” the technology underlying generative AI, to extract information not only from important words, but words and phrases in context, and their interaction with transaction amounts.


Is uploaded data kept private and stored securely?

Yes. All transaction data is encrypted and stored on secure servers. Only necessary members of the data science team will have access to transactions, and we handle all data in accordance with UK and EU GDPR regulations. We can also accomodate bespoke requirements on request.


Does the categorisation engine consider some transactions as more important than others?

No. The categorisation engine assigns all categories as accurately as possible. However, the forthcoming Noggin proprietary credit scoring model will identify the most important categories for predicting the creditworthiness of borrowers.


Frequently Asked Questions

What makes Noggin HQ’s categorisation engine more accurate than other existing products?

Our categorised training data of 4,000,000+ transactions was painstakingly annotated by expert annotators, to create a human-verified gold-standard for our automated system to match. The system uses “large-language models (LLMs),” the technology underlying generative AI, to extract information not only from important words, but words and phrases in context, and their interaction with transaction amounts.


Is uploaded data kept private and stored securely?

Yes. All transaction data is encrypted and stored on secure servers. Only necessary members of the data science team will have access to transactions, and we handle all data in accordance with UK and EU GDPR regulations. We can also accomodate bespoke requirements on request.


Does the categorisation engine consider some transactions as more important than others?

No. The categorisation engine assigns all categories as accurately as possible. However, the forthcoming Noggin proprietary credit scoring model will identify the most important categories for predicting the creditworthiness of borrowers.


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Noggin HQ Ltd is authorised and regulated by the Financial Conduct Authority (FRN: 993735).