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Registered charity · London

Deep Learning Indaba Limited

Deep Learning Indaba Limited is a registered charity (number 1204771) based in London, governed by 4 trustees and chaired by Dr Shakir Mohamed since 2023. Latest income £902k (2025). Source: Charity Commission register, updated 4th October 2026.

  • 4 trustees
  • Income £902k (2025)

Official record Charity Commission · updated 4th October 2026 · Sources

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Who leads it

Current trustees as listed by the Charity Commission, which does not publish previous trustees.

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Similar charities are matched by type of organisation or purpose and listed by latest income; shared trustees are formal board links. Neither is proof the organisations work together.

About

What it does
Education/training
Where
Throughout England And Wales, South Africa, Tunisia, Kenya and more
Website
deeplearningindaba.com (opens in a new tab)
Linked company
Deep Learning Indaba Limited
Registered
2023

Income and spending

  • YearIncomeSpending
  • 2025£902k£894k
  • 2024£814k£689k

Income trend, 2024 to 2025.

Charitable objects

4. THE CHARITY'S OBJECTS ('OBJECTS') ARE FOR THE PUBLIC BENEFIT:(1) TO ADVANCE, ANYWHERE IN THE WORLD BUT PRIMARILY IN AFRICA AND OTHER PLACES WHERE SUCH DISCIPLINES ARE UNDER-DEVELOPED AND WHICH ARE UNDER-REPRESENTED IN INTERNATIONAL SCIENTIFIC AND TECHNOLOGICAL WORK IN THESE DISCIPLINES, THE EDUCATION OF THE PUBLIC IN THE SUBJECTS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING AND RELATED FIELDS, IN PARTICULAR BUT WITHOUT LIMITATION IN THE SCIENCE, APPLICATIONS AND ETHICS OF ARTIFICIAL INTELLIGENCE BY: (A) HOSTING, ARRANGING AND SUPPORTING (AND SUPPORTING OTHERS TO HOST AND ARRANGE) CONFERENCES, LECTURES, WORKSHOPS AND OTHER VIRTUAL AND PHYSICAL EVENTS TO PROMOTE KNOWLEDGE AND UNDERSTANDING OF THE SUBJECT INCLUDING RECENT DEVELOPMENTS IN THE FIELD, AND TO STIMULATE USEFUL DISCUSSION AND EXCHANGE OF INFORMATION ABOUT ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING AND RELATED FIELDS; AND(B) PROVIDING GRANTS AND OTHER FORMS OF SUPPORT TO ENCOURAGE AND PROMOTE ACADEMIC STUDY IN THE FIELDS OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE; AND (2) THE ADVANCEMENT OF EDUCATION INTO THE PRACTICAL USES OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN SOCIETY, AND IN PARTICULAR HOW MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE CAN BE USED FOR THE PUBLIC BENEFIT FOR EXAMPLE IN AREAS OF HEALTH AND ENVIRONMENTAL PROTECTION, BY PROMOTING RESEARCH INTO THE ABOVE SUBJECTS AND PUBLISHING OR DISSEMINATING THE USEFUL RESULTS OF SUCH RESEARCH.

Board analysis

Board DNA

How this board is put together, from Charity Commission trustee records and Companies House - deterministic, no AI.iBoard compositionCounted from the dated Charity Commission trustee register: the current board only, past trustees excluded.

4 trustees on the board

3y median 3y
average tenure
3y
longest tenure
0
trustees past 6 years
6.9y
average years in governance

First-time vs portfolio trustees

First-time (4)

4
company-linked trustees

Sector coverage iSector coverageThe charitable fields this board's trustees govern in elsewhere, by Charity Commission classification. Excludes this charity.

Education/training 4

Commercial experience iCommercial experienceThe industries this board's members are company directors in, by Companies House SIC code. Excludes this organisation's own company.

Education 4

Gaps to watch

  • Narrow spread of causes across the board

Succession forecast iSuccession forecastThe number of board seats likely to open in the next twelve months - summed across the board from each dated trustee’s tenure - and the profile worth recruiting next. From the filed record, deterministic.

🔒 Succession forecast is a Pro feature - the board seats likely to open in the next year and the ideal next trustee. Explore Pro →

Health of the organisation facts side by side - the conclusion is yours

Income v spending, filed accountsiIncome v spendingTotal gross income and expenditure from filed annual returns, Charity Commission, last 2 years.
2024
2025
incomespending£902k latest income · income exceeded spending in 2024 and 2025
ReservesiReserves12 x free reserves / annual expenditure, from the Part B annual return. The sector median is computed across all Part B filers in the same income band.

0.3 months of spending held in free reserves · median for charities its size: 4.0 months

0
EmployeesiEmployeesHeadcount as filed in Part B annual returns, per financial year. Shown exactly as filed; year-on-year figures may be filed on different bases, so a comparison is only shown when the filings are plausibly comparable.

Sources

Official record from the Charity Commission register for England and Wales. Governance Register calculates the connections.

Record details
Registered charity number
1204771
Status
Registered
Governing document
MEMORANDUM AND ARTICLES INCORPORATED 15 MAR 2019AS AMENDED BY SPECIAL RESOLUTION REGISTERED AT COMPANIES HOUSE ON 13 SEP 2023
Companies House
Company number 11885226 · Active
Contact on the register
+447404848761 · info@deeplearningindaba.com
Edition
Register edition compiled 4th October 2026
Labels
Official record from the register · Calculated derived by Governance Register. Anything added by an organisation or person is labelled as provided by them.

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