JADA, a cutting-edge AI and data talent hub, has secured $1 million in initial funding to train and deploy Africa’s next generation of data professionals. Founded in 2024 by Massimiliano Spalazzi, the former CEO of Jumia Nigeria, and Olumide Soyombo, a well-known angel investor and co-founder of Bluechip Technologies, JADA aims to tap into the global demand for artificial intelligence (AI) and data talent. The startup is committed to addressing the growing skills gap in AI by training over 100 professionals annually, positioning Africa as a competitive player in the global talent ecosystem.
JADA’s innovative approach combines a highly selective recruitment process with a focus on upskilling experienced data professionals, preparing them for leadership roles in AI, machine learning, and generative AI. The startup offers a 4-month training program that merges both technical and soft skills development. Participants will receive stipends during the program, though specific amounts have not been disclosed.
The need for skilled professionals in AI is critical, with global demand outpacing supply. According to Google’s 2024 Data & AI Trend Report, over 50% of digital leaders report challenges in securing qualified talent for AI and data roles. By addressing this talent shortage, JADA aims to position Africa as a key source for skilled AI professionals, especially for companies in Europe and the Middle East, where there is a high demand for cost-effective and qualified AI expertise.
“We are building a pipeline of world-class talent that can not only meet the needs of global businesses but can lead the charge in AI-driven transformation,” said Piero Trivellato, JADA’s CEO. Trivellato, who has extensive experience in AI leadership roles, brings valuable insight into the company’s long-term vision. Under his leadership, JADA will focus on developing professionals capable of contributing to significant AI projects across the world.
JADA’s selection process stands out in its use of an AI-driven algorithm, which evaluates candidates based on technical proficiency, cultural fit, and experience. The process includes technical assessments, case studies, and interviews to ensure only the most qualified candidates are accepted into the program. This rigorous process ensures that graduates can immediately contribute to AI projects and tackle challenges within organizations.
The funding will be used to scale JADA’s training initiatives, expand its global outreach, and build a network of talented professionals capable of supporting clients in various sectors, including finance, healthcare, and logistics. “Our aim is to create a sustainable model that not only generates revenue from successful projects but also reinvests in scaling our talent pipeline,” said Soyombo, JADA’s co-founder.
JADA’s business model seeks to provide clients with access to a high-quality workforce in Africa, capitalizing on the continent’s advantages, including cost-efficiency, time-zone alignment, and English proficiency. Soyombo, who has a proven track record as an investor and co-founder, believes that Africa’s growing pool of talent, combined with JADA’s training programs, will offer businesses a strategic advantage.
JADA’s initial focus will be on businesses in Europe and the Middle East, where demand for AI professionals is strong. By leveraging Africa’s competitive advantages in cost and language, JADA is poised to meet the needs of global clients while establishing the continent as a hub for AI talent. The company plans to expand across Africa, with a focus on building long-term partnerships with international businesses.
“Africa is emerging as the next frontier for AI talent,” said Spalazzi. “Our goal is to harness the continent’s potential and deliver real value to businesses worldwide. With a clear revenue model and an experienced leadership team, JADA is ready to take its place in the global tech ecosystem.”
Beyond training AI talent, JADA also aims to address broader challenges in the recruitment of data professionals. According to Soyombo, the current recruitment landscape often presents difficulties in finding skilled candidates with the right combination of technical expertise and cultural fit. By integrating AI into the recruitment process, JADA offers a more efficient and effective solution to this problem, enabling businesses to meet their staffing needs more quickly and reliably.
The $1 million in funding represents an important step for JADA, but it is also part of a broader strategy to establish Africa as a hub for AI expertise. While the company has begun operations in Nigeria, it plans to expand across the continent, responding to client needs and market dynamics. With a growing base of trained professionals and a robust business model, JADA is poised to play a leading role in shaping Africa’s future as a global center for AI and data talent.
Soyombo has also been a key figure in the growth of Africa’s startup ecosystem through his venture capital firm, Voltron Capital. Launched in 2021, Voltron Capital focuses on early-stage investments in African tech startups. As a prolific angel investor, Soyombo has contributed to the success of companies like Paystack and TeamApt. Through Voltron Capital, Soyombo aims to further support the development of Africa’s technology sector by addressing funding gaps and providing startups with the resources they need to scale.
With his involvement in both JADA and Voltron Capital, Soyombo is at the forefront of a movement to position Africa as a global player in the technology sector. “Africa is full of untapped potential,” Soyombo said. “Through companies like JADA and Voltron Capital, we aim to unlock this potential and create lasting value for businesses around the world.”
As JADA moves forward with its mission to develop top-tier AI talent, the company is positioning itself not only as a solution to the global AI talent shortage but also as a catalyst for Africa’s role in the future of technology. With experienced leadership, a solid business model, and a clear vision, JADA is poised to be a game-changer in the AI and data sectors.