Robot Machine Learning Ltd is an entity registered with the Companies House, Department for Business, Energy & Industrial Strategy, United Kingdom. The company number is #16326101. The business office address is 274 Bethnal, 274 Bethnal Grn Rd, London, E2 0AG, UNITED KINGDOM.
Company Number | 16326101 |
Company Name | ROBOT MACHINE LEARNING LTD |
Address | 274 Bethnal 274 Bethnal Grn Rd London E2 0AG UNITED KINGDOM |
Company Category | Private Limited Company |
Company Status | Active |
Origin Country | United Kingdom |
Incorporation Date | 2025-03-19 |
Account Category | NO ACCOUNTS FILED |
Account Reference Date | Month: 3, Day: 31 |
Next accounts due by | 2026-12-19 |
Next returns due by | 2026-04-16 |
Next confirmation statement due by | 2026-04-01 |
SIC Code | Industry |
---|---|
58290 | Other software publishing |
Officer Name | Role | Status | Appointed | Correspondence Address |
---|---|---|---|---|
MUTLU, Mustafa | Director | Active | 19 March 2025 | Agaoglu, Agaoglu Maslak Atasehir Beylikduzu No 1, Beylikduzu, Turkey, 34027 |
Shareholder Name Address | Shareholder Kind Nature of Control | Dates |
---|---|---|
Mr Mustafa Mutlu Agaoglu Agaoglu Maslak Atasehir Beylikduzu No 1 , Beylikduzu 34027 Turkey | individual person with significant control Nature of control: ownership of shares 75 to 100 percent, voting rights 75 to 100 percent | Notified on: 2025-03-19 |
Officer Name | Role | Status | Appointed | Occupation | Correspondence Address |
---|---|---|---|---|---|
MUTLU, Mustafa | Director | Active | 19 March 2025 | Company Director | Agaoglu, Agaoglu Maslak Atasehir Beylikduzu No 1, Beylikduzu, Turkey, 34027 |
Company Name | Address | Incorporation Date |
---|---|---|
Mutlu Brothers Limited | 17 William Street, Herne Bay, CT6 5EG | 2020-07-27 |
Street Address |
274 BETHNAL 274 BETHNAL GRN RD, |
Post Town | LONDON |
Post Code | E2 0AG |
Country | UNITED KINGDOM |
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Mahrin Collection Ltd | 274 Bethnal Green Road, London, E2 0AG | 2023-10-17 |
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280 Hot Paper Limited | 280 Bethnal Green, London, E2 0AG | 2025-08-14 |
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Doing Machine Learning Ltd | Suite 6294, Unit 3a 34-35 Hatton Garden, Holborn, London, EC1N 8DX | 2024-05-30 |
Kb Machine Learning Ltd | The Tree House, Lake Road, Chichester, PO19 7TD | 2023-02-09 |
Machine Learning Audio Ltd | 20-22 Wenlock Road, London, N1 7GU | 2020-09-07 |
Machine Learning In Athletics Limited | 82 St. John Street, London, EC1M 4JN | 2021-10-25 |
Robotica Machine Learning Limited | George Court, Bartholomews Walk, Ely, CB7 4JW | 2020-07-19 |
Statistical and Machine Learning Solutions Ltd | 55 Crown Street, Brentwood, CM14 4BD | 2022-07-13 |
Bodywork Machine Learning Ltd | 1 Hoathly Road, East Grinstead, RH19 1RB | 2020-10-23 |
Machine Learning 1 Limited | International House 36 - 38, Cornhill, London, EC3V 3NG | 2022-01-26 |
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This dataset includes about seven million companies registered with Companies House, under the remit of the Department for Business, Energy and Industrial Strategy. All forms of companies (as permitted by the United Kingdom Companies Act) are incorporated and registered with Companies House and file specific details as required by legislation. Each company is registered with company number, company name, registered address, incorporation date, accounts due date, industry code, etc.
Subject | Business and Economy |
Jurisdiction | United Kingdom |
Data Provider | UK Companies House |
Source | data.gov.uk |
Attribution | Contains public sector information licensed under the Open Government Licence v3.0. |
Companies House is the United Kingdom's registrar of companies and is an executive agency of His Majesty's Government, falling under the remit of the Department for Business, Energy and Industrial Strategy. All forms of companies (as permitted by the Companies Act) are incorporated and registered with Companies House and file specific details as required by legislation. All registered limited companies, including subsidiary, small and inactive companies, must file annual financial statements in addition to annual company returns, and all these are public records. The company dataset includes all statutory company information captured by Companies House: basic company data (company name, registered office address, company status, incorporation date, country of origin, company type, nature of business, accounting reference date, date of last accounts/annual return filed, date of next accounts/annual return due, previous names, share allocation) and all statutory filings by companies contained in the Register. For each company, basic information includes company type and registered office address, the nature of business or standard industrial classification (SIC), company status such as live or dissolved, date of last accounts or confirmation statement filed, date of next accounts or confirmation statement due, previous company names. Since 2010 the Open Data Portal has been helping people to find and use open government data, and supporting government publishers to maintain data. Better data can help inform better policy-making and continuous improvement of services. Departments can combat fraud and reduce waste. By taking ethical, open, innovative and transparent approaches to data we can build greater levels of trust with citizens, whilst delivering more cost-effective and better targeted and tailored services to their needs. Data is at the heart of digital transformation and a part of the Government Transformation Strategy. |