Deep Learning Indaba

What Deep Learning Indaba does

Deep Learning Indaba (DLI) is a UK-registered charitable non-profit organization (Registered Charity #1204771; Private Limited Company #11885226), founded in 2017 in South Africa with the mission of strengthening machine learning and artificial intelligence capacity across Africa. The organization serves African ML/AI researchers, graduate and undergraduate students, and practitioners, and its reach extends into industry and policy stakeholders who participate in and sponsor the community. Day-to-day operations are largely volunteer-led, with a small paid staff sized in the 11–50 employee range.

DLI's core offering is a portfolio of community programs anchored by its annual flagship Indaba conference and complemented by the IndabaX country-level chapter network (47 countries as of 2025, up from 13 in 2018, with a stated goal of covering every African country by 2027). Adjacent programs include a mentorship scheme, the Ideathon (launched 2022), the Indaba Awards, the Startup Pitch Competition (inaugural edition in 2026 in partnership with the ITU), a Datasets repository, and peer-reviewed research publications (IJCAI 2026 track). Underlying infrastructure comprises the custom Baobab application management platform, the Gatherly platform for the Virtual Indaba, and OpenReview for peer review — i.e., purpose-fit tooling layered on top of standard event and academic-publishing components rather than proprietary AI systems.

DLI operates as a non-profit funded principally through institutional sponsorships across three published tiers (Mawenzi, Nile, Zambezi), grants from philanthropic and governmental bodies (Gates Foundation, Wellcome, IDRC, FCDO), donations, and tiered delegate registration fees (approximately $25–$350). Named sponsors and partners include Google DeepMind, Microsoft, Schmidt Sciences, Cohere, Mila Quebec, and the ITU. The organization does not publicly disclose revenue, and its growth has been catalyzed primarily by expanding the geographic and product surface of the community rather than scaling monetization.

Name

Deep Learning Indaba

Legal name

Deep Learning Indaba Limited

Website

https://deeplearningindaba.com

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

11–50 employees

Short description

Deep Learning Indaba is a UK-registered non-profit founded in 2017 that strengthens African AI and machine learning capacity through its annual conference, IndabaX country chapters across 47 African nations, mentorship, ideathons, awards, and peer-reviewed research programs.

Ownership category

akta.pro rank

Product category

AI Education and Community

NAICS

Educational Services (611), Educational Support Services (611710), All Other Schools and Instruction (61169)

SIC

Services-Educational Services (8200), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Digital Learning, EdTech Enablement & Connectivity for Education (BPADAKAH)

akta.pro secondary industries

Peer Feedback, Discussion Forums & Social Learning Communities (EDAFAGAH), Digital Learning Content Development (eLearning, Labs, Simulations) (BPAEANAD)

Keywords

• Machine learning education
• AI conference programs
• Academic mentorship programs
• Research community building
• AI training workshops

Headquarters

HQ city

London

HQ country

United States

HQ region

North America

Offices3 records

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Operations, Others, Marketing or Sales, Technology or R&D

Revenue model

1. Sponsorship and Grants: Primary revenue source from corporate sponsors, foundations, and government organizations at various tier levels (Mawenzi, Nile, Zambezi, Limpopo, Niger, Benue). Sponsors support scholarships, travel grants, and programme activities.
2. Registration Fees: Tiered registration fees charged to attendees: $350 for non-African Industry, $200 for African Industry/Faculty, $150 for Students. Virtual attendance at reduced rates ($25-$150).
3. Donations and Philanthropy: Educational charity accepting donations, gifts, and grants to support scholarships, programmes, and open learning opportunities.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

Deep Learning Indaba is a community-led non-profit that strengthens African machine learning and AI capacity through an annual flagship conference, a continent-wide network of locally organized events (IndabaX) spanning 47+ countries, year-round mentorship, innovation competitions (Ideathon), research publication tracks, awards programmes, and a curated African datasets repository. Its core deliverable is community enablement—knowledge transfer, peer connection, and visibility—for African students, researchers, educators, and AI-driven startups.

Product overview

Deep Learning Indaba is a community-driven organization operating a platform of interconnected programmes for strengthening African AI. The core offering is the Annual Indaba event in Nigeria (August 2026) featuring keynotes, tutorials, workshops, research presentations, and networking. This is supported by a portfolio of complementary products: the Ideathon (innovation competition launched 2022), DLI Awards (Kambule, Alele-Williams, Maathai Impact, Anta Diop), Publications track with IJCAI-indexed papers, African Datasets repository, African Startups Track, and the inaugural Startup Pitch Competition (2026). Year-round engagement is maintained through the IndabaX network of 47 locally-organized country events, the Mentorship Programme, Community Spotlight initiative, and the Sauti Yetu newsletter. The Virtual Indaba add-on enables remote participation. The Baobab platform handles applications and selection.

Differentiator

Problem solved

Functional benefit

Brands

• IndabaX: Locally-organised Indaba events that help spread knowledge and build capacity in machine learning and artificial intelligence in individual countries across Africa.
• Ideathon
• Sauti Yetu

Products and services

• Deep Learning Indaba (Annual Flagship Conference)
• IndabaX
• Mentorship Programme

Quantifiable outcome

• Ideathon attracted over 4,650 applications from more than 60 countries
• +1 more outcomes

Named customers4 records

Segments4 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability16 records

Feature3 records

Partnerships

Four partnerships are on record, tiered supporting and major.

• Mila QuebecsupportingStrategic or Co-development Partner · 1 January 2026Niger-tier sponsor supporting AI research and development collaboration with the African AI community.
• International Telecommunication Union (ITU)majorStrategic or Co-development Partner · 1 January 2026Collaborative partner for the Inaugural Indaba Startup Pitch Competition, providing AI for Good Summit invitation for winners and comprehensive startup support pipeline.
• Pan-Atlantic UniversitysupportingOthers · 1 January 2026Host venue for the Deep Learning Indaba 2026 in Lagos, Nigeria.
• iAfrikansupportingGTM or Marketing Partner · 1 January 2025Media partner documenting and sharing stories from the Deep Learning Indaba community, helping to amplify African voices in AI.

Scale indicators5 records

Recent moves9 records

Expansion highlights6 records

Direct peers

• Women in Machine Learning: Grassroots, volunteer-led community organisation running workshops, mentoring events, and awards to support women in ML. Comparable in mission structure, sponsor model, and grassroots delivery, though with a demographic rather than geographic focus.
• LatinX in AI: Regional community organisation increasing representation of Latinx researchers in AI through workshops, research showcases, and networking at major conferences. Direct structural analogue to DLI's regional community-building model.
• Masakhane: Pan-African, community-driven NLP research community focused on African languages. Highly comparable as a grassroots African AI movement with open research, mentorship, and participatory workshops, though narrower in scope (NLP) than DLI.
• Black in AI: Grassroots, community-led organisation supporting Black researchers in AI through workshops, mentorship, and awards. Closely comparable mission structure to DLI — volunteer-driven, sponsor-funded, focused on representation and research showcase — but with a demographic rather than geographic focus.
• Data Science Africa: Pan-African grassroots initiative running workshops, summer schools, and datathons to build data science and ML capacity across the continent. Directly comparable in mission, regional focus, and community-led delivery.
• AI4Good Foundation: Non-profit producing an annual summit and programmes focused on AI for social impact. Comparable as a sponsor-funded AI community platform emphasising applied research and entrepreneurship, with overlapping sponsor networks.

Broad incumbents

• NeurIPS Foundation: Organiser of the flagship NeurIPS machine learning conference and affiliated workshops and affinity groups (including Black in AI, LatinX in AI, Women in ML). A broad incumbent in the same academic ML community space DLI serves regionally.
• Mozilla Foundation: Large non-profit foundation funding open-source and trustworthy AI initiatives, fellowships, and grants. Comparable as a funder/incubator of AI research and education communities, but at a much larger scale and with a global rather than African focus.
• DeepLearning.AI: Larger, established AI education organisation offering courses, specialisations, and community programmes. Overlaps with DLI on AI education but operates a commercial course platform rather than a community/research showcase model.

Emerging players

• DAIR Institute: Distributed AI Research Institute — small, independent, community-funded AI research organisation focused on outside-the-mainstream perspectives. Comparable in scale and values-driven non-profit research model, though US-focused.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/DeepIndaba
• YouTubeyoutube.com/@DeepLearningIndaba
• Facebookfacebook.com/deepindaba
• LinkedInlinkedin.com/company/deep-learning-indaba
• Instagraminstagram.com/deepindaba

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Deep Learning Indaba