Architecting
Africa's
Intelligence
Economy.
Together.
AICE Africa architects the continent's Intelligence Economy. Partnering with enterprises, governments, development institutions, and global innovators to build the AI talent, solutions, and sovereign platforms that drive African and global impact at scale.
Our Ecosystem
Pan-African & global partners.
The Sovereign Intelligence Framework™
Three interdependent pillars. One path to sovereign advantage.
Talent without deployment is an expense. Solutions without talent are unsustainable. IP without either is a demo. Only when all three integrate does an institution achieve durable, African-owned intelligence advantage.
Talent & Capability
Building Africa's AI workforce
- AI & Data Science Engineering6 mo
- AI for Leaders — C-suite & Board2 days
- Enterprise AI for business units1 mo
- AI for Informal Sectormultilingual
Solutions & Delivery
AI-as-a-Service for enterprise & government
- AI strategy & readiness assessment✓ active
- Custom model development & MLOps✓ active
- Data engineering & pipelines○ queued
- GovTech & public sector AI○ queued
Proprietary IP
African-built intelligence platforms
- DataInviz™ a data orchestration & BISaaS
- Conversational Engine™ a domain AISaaS
- Caspre™ an SME credit intelligenceSaaS
- AI Research Platformon-prem
Talent & Capability
Building Africa's AI workforce
- AI & Data Science Engineering6 mo
- AI for Leaders — C-suite & Board2 days
- Enterprise AI for business units1 mo
- AI for Informal Sectormultilingual
Every learner solves a real business problem. Graduates channel into AICE delivery squads.
Solutions & Delivery
AI-as-a-Service for enterprise & government
- AI strategy & readiness assessment✓ active
- Custom model development & MLOps✓ active
- Data engineering & pipelines○ queued
- GovTech & public sector AI○ queued
World Bank · ZEP-RE · SunCulture · Old Mutual · Equity Bank · NHIS Nigeria
Proprietary IP
African-built intelligence platforms
- DataInviz™ a data orchestration & BISaaS
- Conversational Engine™ a domain AISaaS
- Caspre™ an SME credit intelligenceSaaS
- AI Research Platformon-prem
Active: AGL · Vodacom Mozambique · Sasini · Old Mutual · BKTechHouse · FCMB
Intelligence Audit to production AI in under 12 weeks
From readiness diagnostic to working AI solution. Each stage delivers standalone value — you do not need to commit to the full architecture to begin.
¹ Based on comparative delivery analysis; outcomes vary by scope and organisational context.
A clear path to sovereign AI capability
Enterprise data intelligence, built for Africa
Harmonisation, orchestration, and real-time intelligence. Federated architecture, SaaS and on-premises. No rip-and-replace required.
Unlocking credit for 44M+ underserved African SMEs
Alternative credit scoring using mobile, IoT, and behavioural data. No formal credit history required. Live across East Africa.
Intelligence Audit Tool
How AI-ready is your organisation?
Take our 8-question Intelligence Audit. Get a maturity score, gap analysis, and a personalised roadmap in under 5 minutes. No commitment required beyond the first conversation.
Strong data foundation. Governance gaps identified in policy compliance and AI ethics. Priority: AI strategy design.
Recommended next step
AICE Africa Intelligence Audit 2–4 weeks
Live Now
Ongoing programmes & open cohorts.
Scroll to explore. All programmes follow the AICE Proof-of-Work model — graduate with a real deliverable.
Africa doesn't need
another AI vendor.
Africa needs architects.
We are those architects. Begin with an Intelligence Audit — a 2–4 week assessment that delivers your AI Maturity Score, gap analysis, and a personalised roadmap.
Does your organisation have a documented data strategy that covers collection, governance, and quality standards?
Do you have dedicated AI or data science talent in-house, or a clear plan to build it?
Has your organisation defined an AI ethics policy or governance framework?
Is your data infrastructure (cloud, APIs, pipelines) ready to support AI workloads?
Do you have a clear AI strategy aligned to your institutional objectives for the next 3 years?
Does your organisation prioritise owning its AI models and data, rather than relying entirely on third-party platforms?
Are there executive-level champions actively driving AI adoption within your organisation?
Have you mapped specific use cases where AI could transform your operations or services?