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deep learning indaba limited

The charity supports the general public. Deep Learning Indaba Limited is a registered charity whose purpose is education and training. It delivers its work by making grants to individuals. The charity is based in London and operates in England And Wales, South Africa, and various other locations.


This page summarises publicly available information about the charity, including its activities, beneficiaries, and registration details, based on official records.

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Activities & Mission

The Deep Learning Indaba Limited is an educational charity whose mission is to Strengthen African Machine Learning and Artificial Intelligence. We do this by building communities, creating leadership, and recognising excellence in AI across Africa. We achieve our mission through several programmes and partner with donors and organisations wherever they are to support this important need.

Fundraising

See where Deep Learning Indaba Limited is active and find local fundraising opportunities.

Financial Information

Latest Income
£814,174
Latest Expenditure
£689,071

Financial Efficiency

Program Ratio 81.4%
% of income going directly to charitable activities
Overall Efficiency 96.1%
% of expenditure going to programs (vs overhead)
Administrative Ratio 2.6%
Overhead (fundraising + governance) as % of total expenditure

Latest Financial Breakdown

Income Sources

Donations & Legacies £143,806
Charitable Activities £670,368
Other Trading £0
Investments £0
Other Income £0

Expenditure Categories

Charitable Expenditure £662,339
Raising Funds £0
Governance £18,040
Grants to Institutions £0
Other Expenditure £26,732

Financial Trend

Annual Returns

Financial YearIncomeExpenditureCharitable SpendingNet AssetsReservesStaff
2024£814,174£689,071£662,339£142,515£00 / 50

Staff column shows: Employees / Volunteers

Details

Address
International House
64 Nile Street
LONDON
N1 7SR
Registration Date
18 September 2023
Status
Registered

Registry Information

Organisation Number
5213357
Charity Number
1204771

Trustees

Dr Ulrich Paquet
Prof Vukosi Ntsakisi Marivate
Dr Shakir Mohamed
Kathleen Siminyu