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The Studio

Where we build.
How we build.
Who we build for.

High-impact AI sectors. A proven model. And a clear thesis for every stakeholder — founders, talent, and investors.

Sector Focus · Where We Build
$1.8T
Total African digital economy opportunity

AI Vertical SaaS

Domain-specific AI that owns a workflow forever. Africa's professional-services sectors — legal, healthcare, compliance, agri-trade, creative — are pre-digital, under-served, and massively underpriced relative to their value.

Legal AIHealthcare AICompliance AICreative & Agri-Trade
$120B+
Operational data moats across freight, agri & energy

AI Industrial Data Infrastructure

Africa doesn't have legacy industrial systems — it has pre-digital ones. Every truck dispatch, crop cycle, grid fault and factory batch generates operational data, but almost none of it is captured. We capture, structure and monetise it.

AgriData StackFreightBrainGridIntelIdentity & Trade
Our Model

We don't just write checks and run programs. We build.

We build ventures and talent together — from ideation through to exit.

The F2 Method

Build-Operate-Exit:
phase by phase

01

Ideation

Weeks 1–4

Market research, problem validation, concept development. Talent gets industry exposure and design-thinking training.

02

Build

Weeks 5–16

MVP development, product iteration and market testing. Talent develops hands-on engineering and product-management skills.

03

Launch

Weeks 17–24

Go-to-market, customer acquisition, fundraising. Talent learns growth marketing, sales and investor relations.

04

Scale

Month 7–12

Product-market fit, team building and operational excellence. Talent develops leadership and scaling capabilities.

05

Operator Mode & Exit

Month 12–36

Operational support, shared-resource access, partnership drive, expansion — and M&A at Pre-Series A.

How We're Different

Not a VC. Not an accelerator.
A venture factory.

Dimension
Traditional VC
Accelerator
FirstFounders
Approach
Writes checks, waits
Runs 3–6 month programmes
Builds companies from inception to exit
Talent
Imports talent; founder's problem
Trains separately from building
Grows embedded talent inside every venture
Involvement
Board seats & quarterly reviews
Demo Day & programme support
Full lifecycle, hands-on, 36 months
Outcome
Financial returns only
Demo Day visibility
Companies + trained builders + returns
Exit path
Series A/B → IPO (8–12 yrs)
Founder's own journey
M&A at Pre-Series A (24–36 months)
Cost efficiency
$500k builds 1 startup
Programme fees, no guarantee
$500k builds 2 startups in our studio model
Ready when you are

Ready to build for Africa's AI economy?

Apply as a founder, join as talent, or partner with us as an investor or corporate client. We're here to build boldly, build better, and build for tomorrow.

Apply as a FounderJoin as TalentPartner with Us