A Nigerian tech founder has launched an artificial intelligence (AI) startup that aims to train and place one million African AI engineers with companies worldwide over the next decade.
The startup, Talent Nation, was co-founded by Iyinoluwa Aboyeji, who previously co-founded Flutterwave and Andela, and Kesiah Valkin, a technology entrepreneur who co-founded the London-based engineering talent company 01 Founders. Aboyeji serves as executive chairman, while Valkin is the chief executive officer.
Talent Nation announced its launch alongside an undisclosed pre-seed funding round co-led by Enza Capital and London-based venture capital firm LocalGlobe. Future Africa, Kaleo Ventures, Ajim Capital, Solving.org and Accelerate Africa also participated in the rounds.
The company plans to connect African engineers with businesses that want to build and deploy AI systems but may struggle to compete with major technology companies for experienced technical talent.
Its model centres on Learn2Earn, a training academy that identifies promising candidates, develops their engineering skills and connects them with employment opportunities. Unlike conventional training programmes that charge students tuition, Learn2Earn does not require trainees to pay upfront. Companies pay for the engineers they hire, helping fund the training model.
How Talent Nation plans to train 1 million AI engineers
Talent Nation’s long-term target is to train, certify and place one million African AI engineers over 10 years.
The company says its approach starts with identifying people who demonstrate engineering potential, including candidates who may not have followed traditional educational or career paths.
Its Learn2Earn academy uses an online assessment followed by in-person trials to evaluate applicants. Selected candidates can be placed with clients directly if they are ready for the work. Others undergo training programmes lasting three, six or 12 months, combining practical projects, internships and work experience.
According to Talent Nation, Learn2Earn has received more than 63,000 applications and assessed over 32,000 candidates during approximately 18 months of operations. About 1,400 fellows have been admitted across nine campuses in six Nigerian cities. The programme accepts fewer than 3% of applicants.
These figures show the scale of interest in the programme, although applications and assessments should not be confused with completed training or successful job placements.
Talent Nation has not published a year-by-year timetable showing how it expects to reach its one-million-engineer target. Achieving that goal would require training and placing an average of approximately 100,000 engineers annually over the next decade.
The company’s current cohort of about 1,400 fellows is an early-stage base for an ambition that will require substantial growth in training capacity, employer partnerships and placement opportunities.
A training model that does not charge students upfront
In a conventional education model, students pay tuition before completing their studies, often without a guarantee of employment. Learn2Earn instead aims to identify candidates, train them and generate revenue when businesses hire qualified engineers.
Companies pay for the engineers they take on, and the revenue helps fund training for additional candidates. Engineers who enter employment also contribute to the cost of training subsequent groups, according to reporting on the programme.
The model seeks to reduce the financial barrier for people who have the ability to become engineers but cannot afford expensive technical training.
It also connects the academy’s funding to demand from employers. Rather than relying entirely on tuition payments, the business can use revenue from talent placements to support its training operations.
However, the model’s long-term sustainability will depend on whether Talent Nation can consistently secure employers willing to hire its graduates, maintain training quality and generate enough revenue to expand its programmes.
The company has identified IHS Towers, the telecommunications infrastructure provider, among its clients. It has not disclosed a complete list of employers or detailed placement figures.
Why Talent Nation believes AI will create demand for more engineers
Much of the public debate about artificial intelligence centres on its potential to automate tasks and reduce demand for certain jobs. Talent Nation is built around a different argument: as AI tools become more capable, businesses will need engineers who can turn those capabilities into reliable systems.
Aboyeji has described talent as a major constraint on AI’s development and adoption. The company’s position is that access to powerful AI models alone does not guarantee that organisations can use them effectively. Businesses still need people who can integrate AI into their operations, build applications, test systems and maintain them after deployment.
This is particularly relevant for companies that want to develop their own AI products or automate internal processes but cannot afford the salaries and consulting fees associated with highly competitive technology markets.
Talent Nation presents its service as a way for these businesses to access trained engineers without having to compete directly with the largest AI laboratories and technology companies for every hire.
Its stated mission is to build an AI talent platform that helps organisations develop and own their AI capabilities, rather than simply rely on external tools and services.
The opportunity, however, is not limited to producing more people who know how to use AI tools. Employers need engineers with practical skills in software development, system integration, testing, data handling and deployment. The value of the programme will ultimately depend on whether its graduates can meet those requirements in real working environments.
Aboyeji brings experience in African technology and talent development
Talent Nation builds on Aboyeji’s previous experience creating companies that connect African talent and businesses to wider markets.
He co-founded Andela in 2014. The company developed a model for identifying and training African software developers before connecting them with international technology employers. Andela subsequently raised funding from major investors and grew into a technology talent business with a valuation exceeding $1 billion.
In 2016, Aboyeji co-founded Flutterwave, the payments company that became one of Africa’s most prominent technology startups. He has also been involved with Moove, a vehicle-financing company, and runs Future Africa, a venture firm that invests in African startups. Future Africa is also among Talent Nation’s backers.
The experience behind Andela provides a useful comparison for Talent Nation. Both businesses seek to identify technical talent in Africa and connect it to employers beyond the continent.
The difference is the focus on AI engineering. Talent Nation is launching at a time when companies are investing in AI systems and looking for people who can move beyond experimentation to build, integrate and maintain those systems.
Whether the new company can reproduce the scale of the earlier talent model in this different market remains to be seen.
What Talent Nation’s launch means for Nigeria’s AI workforce
Talent Nation’s launch comes as African governments, technology companies and training organisations seek to expand the continent’s participation in the global digital economy.
For Nigeria, the company’s existing campuses and training pipeline provide a starting point for developing more technical talent locally. The company’s longer-term plan could create additional routes into AI engineering for people who might otherwise lack access to expensive training or international employment networks.
The programme also reflects a wider question about Africa’s role in the AI industry: whether the continent will mainly consume AI products developed elsewhere or develop more of the technical workforce needed to build and deploy them.
Training more engineers could help African businesses develop their own AI applications while giving qualified professionals access to international opportunities. But those outcomes are not automatic. They depend on training quality, access to computing resources, reliable infrastructure, employer demand and the availability of sustained work opportunities.
Talent Nation’s one-million-engineer goal is therefore an ambitious target rather than a confirmed outcome. Its current figures establish an initial training pipeline, but the company has yet to publish a detailed schedule for scaling admissions, certifications and placements to the level required.
The undisclosed pre-seed funding will support the company’s next stage, although the amount raised and its planned allocation have not been made public.
For now, Talent Nation is betting that Africa can supply more of the engineers needed to put AI to work across global businesses. Its progress will depend on whether it can turn that potential into a large, sustainable pipeline of skilled professionals and successful placements.
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