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Company Registration No. 11553686 (England and Wales)
AI & Machine Learning For Finance Ltd Unaudited accounts for the year ended 30 September 2023
AI & Machine Learning For Finance Ltd Unaudited accounts Contents
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AI & Machine Learning For Finance Ltd Company Information for the year ended 30 September 2023
Directors
Juan Salvador Huertas Romero Olena Nazarenko
Company Number
11553686 (England and Wales)
Registered Office
20-22 Wenlock Road London N1 7GU ENGLAND
Accountants
Bainton Swift Accountancy 4 Birch Close, Snettisham Snettisham King's Lynn Norfolk PE31 7RP
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AI & Machine Learning For Finance Ltd Statement of financial position as at 30 September 2023
2023 
2022 
Notes
£ 
£ 
Fixed assets
Tangible assets
7,965 
9,503 
Current assets
Debtors
32,760 
- 
Cash at bank and in hand
64,380 
62,768 
97,140 
62,768 
Creditors: amounts falling due within one year
(72,715)
(41,431)
Net current assets
24,425 
21,337 
Net assets
32,390 
30,840 
Capital and reserves
Profit and loss account
32,390 
30,840 
Shareholders' funds
32,390 
30,840 
For the year ending 30 September 2023 the company was entitled to exemption from audit under section 477 of the Companies Act 2006 relating to small companies. The members have not required the company to obtain an audit in accordance with section 476 of the Companies Act 2006.
The directors acknowledge their responsibilities for complying with the requirements of the Act with respect to accounting records and the preparation of accounts.
These accounts have been prepared and delivered in accordance with the provisions applicable to companies subject to the small companies' regime and in accordance with the provisions of FRS 102 Section 1A - Small Entities. The profit and loss account has not been delivered to the Registrar of Companies.
The financial statements were approved by the Board of Directors and authorised for issue on 10 June 2024 and were signed on its behalf by
Juan Salvador Huertas Romero Director Company Registration No. 11553686
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AI & Machine Learning For Finance Ltd Notes to the Accounts for the year ended 30 September 2023
1
Statutory information
AI & Machine Learning For Finance Ltd is a private company, limited by shares, registered in England and Wales, registration number 11553686. The registered office is 20-22 Wenlock Road, London, N1 7GU, ENGLAND.
2
Compliance with accounting standards
The accounts have been prepared in accordance with the provisions of FRS 102 Section 1A Small Entities. There were no material departures from that standard.
3
Accounting policies
The principal accounting policies adopted in the preparation of the financial statements are set out below and have remained unchanged from the previous year, and also have been consistently applied within the same accounts.
Basis of preparation
The accounts have been prepared under the historical cost convention as modified by the revaluation of certain fixed assets.
Presentation currency
The accounts are presented in £ sterling.
Turnover
Turnover is measured at the fair value of the consideration received or receivable, excluding discounts, rebates, value added tax and other sales taxes. Turnover from the sale of goods is recognised when goods have been delivered to customers such that risks and rewards of ownership have transferred to them. Turnover from the rendering of services is recognised by reference to the stage of completion of the contract. The stage of completion of a contract is measured by comparing the costs incurred for work performed to date to the total estimated contract costs.
Tangible fixed assets and depreciation
Tangible assets are included at cost less depreciation and impairment. Depreciation has been provided at the following rates in order to write off the assets over their estimated useful lives:
Motor vehicles
25% reducing balance
Computer equipment
25% straight line
Pension costs
The company operates scheme for the benefit of its employees. Contributions payable are recognized in the profit and loss account when due.
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AI & Machine Learning For Finance Ltd Notes to the Accounts for the year ended 30 September 2023
4
Tangible fixed assets
Motor vehicles 
Computer equipment 
Total 
£ 
£ 
£ 
Cost or valuation
At cost 
At cost 
At 1 October 2022
11,817 
5,541 
17,358 
Additions
- 
1,350 
1,350 
At 30 September 2023
11,817 
6,891 
18,708 
Depreciation
At 1 October 2022
4,246 
3,609 
7,855 
Charge for the year
1,892 
996 
2,888 
At 30 September 2023
6,138 
4,605 
10,743 
Net book value
At 30 September 2023
5,679 
2,286 
7,965 
At 30 September 2022
7,571 
1,932 
9,503 
5
Debtors
2023 
2022 
£ 
£ 
Amounts falling due within one year
Trade debtors
32,760 
- 
6
Creditors: amounts falling due within one year
2023 
2022 
£ 
£ 
VAT
27,354 
25,133 
Trade creditors
199 
62 
Taxes and social security
1,155 
3,160 
Other creditors
1,259 
3,380 
Loans from directors
42,748 
9,696 
72,715 
41,431 
7
Loans to directors
£35,346 was owed to J. Huertas and £7,402 was owed to O. Nazarenko at the end of financial period.
8
Average number of employees
During the year the average number of employees was 0 (2022: 0).
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