|
|
Company:
Monily
Team:
Adrian James, CEO
Dr Roman Popat, Chief Data Scientist
Martin Langosch, CTO
Eric Ruck, Solutions Architect
Andy McIntosh, UX/UI
Iain Levin, Chairman
Web:
www.monily.co
Value Proposition:
Monily uses Machine Learning to securely extract the data from an Email receipt on a smartphone to match and enrich a Bank transaction in a Financial App.
Carried out in the same way Flight details found in an Email can be auto added to a Calendar. With the world moving to electronic receipts, the solution solves the problem of Bank customers not being able to reconcile transactions found on their Statements. The solution is completely GDPR compliant and one of the first in the world to use AI on the Smartphone to process the data.
Financial Services companies benefit in augmenting transactional data in three ways;
Customer Segments:
Retail Banks, Business Banks and Financial Accounting Software
Market Traction:
First POC secured.
Funding Stage:
Seed
Funding & Investment to Date:
£100k
Investment Sought:
£350,000
Valuation:
£1.4 - 2m
Visit Monily Website
Visit us on the Fintech Scotland Website
DISCLAIMER
The purpose of this Investor Showcase is to provide information on the business described above. The Investor Showcase is not a prospectus and does not constitute or form any offer or invitation to subscribe for, underwrite, or purchase securities, nor shall the Investor Showcase or any part of it form the basis of, or be relied upon in connection with, any contract relating to any securities unless expressly included hereafter.
WARNING
The content of this Investor Showcase has not been approved by an authorised person within the meaning of the Financial Services and Markets Act 2000. Reliance on this Investor Showcase for the purpose of engaging in any investment activity may expose an individual to a significant risk of losing all of the property or other assets invested
Monily
Team:
Adrian James, CEO
Dr Roman Popat, Chief Data Scientist
Martin Langosch, CTO
Eric Ruck, Solutions Architect
Andy McIntosh, UX/UI
Iain Levin, Chairman
Web:
www.monily.co
Value Proposition:
Monily uses Machine Learning to securely extract the data from an Email receipt on a smartphone to match and enrich a Bank transaction in a Financial App.
Carried out in the same way Flight details found in an Email can be auto added to a Calendar. With the world moving to electronic receipts, the solution solves the problem of Bank customers not being able to reconcile transactions found on their Statements. The solution is completely GDPR compliant and one of the first in the world to use AI on the Smartphone to process the data.
Financial Services companies benefit in augmenting transactional data in three ways;
- Banks can reduce the £30 million annual costs associated with fraud enquiries.
- Sell personalised financial products based on purchases and create ‘Uber-like’ customer experiences.
- Financial Accounting software can automatically pull in purchase receipts and match them to expenses to streamline the process of reimbursement.
Customer Segments:
Retail Banks, Business Banks and Financial Accounting Software
Market Traction:
First POC secured.
Funding Stage:
Seed
Funding & Investment to Date:
£100k
Investment Sought:
£350,000
Valuation:
£1.4 - 2m
Visit Monily Website
Visit us on the Fintech Scotland Website
DISCLAIMER
The purpose of this Investor Showcase is to provide information on the business described above. The Investor Showcase is not a prospectus and does not constitute or form any offer or invitation to subscribe for, underwrite, or purchase securities, nor shall the Investor Showcase or any part of it form the basis of, or be relied upon in connection with, any contract relating to any securities unless expressly included hereafter.
WARNING
The content of this Investor Showcase has not been approved by an authorised person within the meaning of the Financial Services and Markets Act 2000. Reliance on this Investor Showcase for the purpose of engaging in any investment activity may expose an individual to a significant risk of losing all of the property or other assets invested
