Iyinoluwa Aboyeji’s new venture wants to turn Africa’s raw engineering potential into a certified workforce for companies worldwide. The target is vast. The proof so far is modest.
Talent Nation, a startup built on the belief that engineers, not algorithms, are now the scarcest resource in artificial intelligence, has raised an undisclosed pre-seed round to train and place one million African AI engineers with businesses around the world over the next decade.
The round was co-led by Enza Capital and London-based LocalGlobe. Future Africa, Kaleo Ventures, Ajim Capital, Solving.org and Accelerate Africa also took part. The company has not said how much it raised.
Who is behind it
Talent Nation was founded by Nigerian serial entrepreneur Iyinoluwa Aboyeji and South African-born entrepreneur Kesiah Valkin. Aboyeji, who co-founded Andela and Flutterwave and helped build the vehicle-financing company Moove, is executive chairman. Valkin, who co-founded the London firm 01 Founders, is chief executive.
The venture grows out of Learn2Earn, a zero-tuition training academy that Aboyeji started. Its model will sound familiar to anyone who followed Andela, his first company, which trained African developers and placed them with global technology firms before reaching a valuation above $1 billion.
“Talent is the final constraint to super intelligence,” Aboyeji said, according to TechMoran’s report on the raise.
How the model works
Talent Nation trains, certifies and deploys engineers into organisations that want to build and run their own AI capabilities. Applicants first sit an online assessment, then attend in-person trials that test technical aptitude, problem-solving and critical thinking. Those who clear the bar can move straight to deployment. Others enter training programmes lasting three, six or 12 months, mixing peer-led learning, engineering projects, intensive buildathons and internships.
The company says it has received more than 63,000 applications in 18 months, assessed over 32,000 candidates and enrolled about 1,400 fellows across nine campuses in six cities. Fewer than 3% of applicants are admitted. One named client is IHS Towers, the telecoms infrastructure group that MTN has acquired.
The financing logic is meant to spare trainees from upfront fees. Revenue from enterprise engagements pays for new cohorts, and once graduates are employed they contribute toward the training of those who follow.
The investor case
Sir John Lazar, general partner at Enza Capital and president of the Royal Academy of Engineering, said the firm backed Talent Nation because of the founders’ record of spotting engineering talent and connecting African professionals with valuable work at global standards.
Valkin framed the company’s pitch around cost and access. Wider AI adoption, she argued, depends not only on better models but on making engineering expertise affordable for businesses of different sizes. The company’s slogan, “AI for the rest of us”, is aimed at firms that cannot compete with frontier labs or large consultancies for scarce engineers in San Francisco or London.
The timing reflects a shift in what AI-era software work demands. As models produce more code, the premium is moving toward people who can check outputs, test applications, integrate systems and make sure software holds up in real-world conditions.
The size of the gap
The ambition is where scrutiny begins. One million engineers in ten years works out to roughly 100,000 a year. Talent Nation has about 1,400 fellows today. It has not published a timetable for the full target, and it has not disclosed the size of this round, so outsiders cannot yet judge how far the funding goes toward closing that distance.
There is also a crowded policy backdrop. In February, Learn2Earn signed a partnership with Nigeria’s Digital Bridge Institute to train one million AI engineers over the next decade, in support of the federal government’s 3 Million Technical Talent (3MTT) programme. Aboyeji sits on the advisory committee of that programme.
3MTT itself offers a useful reference point. Launched in 2023 with 1.8 million applications, it had trained more than 135,000 Nigerians across three cohorts by January 2026, according to the communications ministry’s update. Commentators have since argued that the country needs to move past entry-level training and create enough real work for graduates to gain experience. That question of placement, rather than enrolment, is the one Talent Nation’s model is built to answer.
What to watch
Three things will show whether the pitch holds. The first is the pace of enrolment growth beyond 1,400 fellows. The second is whether paying clients beyond early names such as IHS Towers sign on at scale. The third is whether the pay-it-forward financing can sustain cohorts that grow by orders of magnitude.
For African engineers, the promise is a route into globally competitive jobs without tuition debt. For the companies hiring them, it is a cheaper path to AI capability. Whether a pre-seed startup can deliver both at the scale it has announced is the story still to be written.
Sources: TechMoran, iAfrica.com (citing Semafor reporting), Digital Bridge Institute and Learn2Earn announcement, Nigeria’s Federal Ministry of Communications, Innovation and Digital Economy.
