ChipMango, an AI-native semiconductor technology company has raised $1.9 million in funding to expand semiconductor talent, strengthen chip-design capabilities and accelerate innovation across the United States, Africa and Europe.
The funding round was led by Atlantica Ventures VC Fund, with participation from DFS, Kaleo Ventures, Madica Ventures, Trilinear Technologies, Malta Ventures and other strategic investors.
The new capital will support the expansion of ChipMango’s AI-native workforce platform, commercial hardware engineering services and edge-AI development, as the company seeks to address growing demand for skilled semiconductor engineers and intelligent hardware.
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Commenting on the funding round, ChipMango founder and CEO Ola Fadiran said,
“The next era of AI will not be defined by software alone. It will depend on who can design the chips, systems and intelligent hardware that power it. Chipmango is expanding access to those capabilities so more regions can help build the technologies.”
Also commenting, Founding partner at Atlantica Ventures Anikó Szigetvári said,
“The semiconductor industry’s binding constraint is no longer capital it is people. Chipmango converts Africa’s deep engineering talent into world-class chip design capability, already proven through production-grade work for global customers. We believe it can become foundational infrastructure for the next generation of smart devices and semiconductor IP”.
Currently, the semiconductor industry is facing a significant talent shortage as artificial intelligence drives demand for advanced chips and computing infrastructure.
Deloitte estimates that the industry will need to add approximately one million skilled workers by 2030, requiring more than 100,000 new workers annually as global semiconductor revenue approaches $1 trillion.
ChipMango is tackling the talent and capacity gap through what it describes as a connected talent-to-technology model. The company develops engineers through industry-aligned curricula and professional tools, deploys them on commercial semiconductor projects, and uses the resulting expertise to drive innovation in edge AI, intelligent hardware and semiconductor intellectual property.
Through the latest funding, ChipMango aims to scale this model across multiple markets while contributing to the development of a broader and more globally distributed semiconductor engineering workforce.
Founded in 2022 by Ola Fadiran and Jovan Andjelich, Chipmango addresses one of the industry’s most urgent constraints: talent. The AI-semiconductor technology company connects industry-aligned training and hands-on engineering development directly to commercial semiconductor design, verification, edge-AI and intelligent hardware programs.
This helps customers expand technical capacity while bringing more regions into the global semiconductor economy. ChipMango has taken steps toward building a broader semiconductor ecosystem in Nigeria.
In 2025, it partnered with NITDA to introduce the NITDA–ChipMango Microchip Design Framework, designed around capacity building, semiconductor outsourcing and policy development.
One of its recent milestones has been the expansion of its university training programmes. In Uganda, ChipMango partnered with Lwera Electronics and Semiconductors on a three-month chip-design programme involving 50 university students. In Nigeria, it partnered with AI UniPod UNILAG to launch fully sponsored Chip Design and Edge AI programmes, with an inaugural cohort of 40 trainees.
The company plans to establish a European Design center in Malta with Malta Ventures and advance ecosystem-building initiatives in Kigali, Rwanda focused on semiconductor capability, workforce development and AI infrastructure.
Looking ahead, ChipMango is positioned to deepen its role in the global semiconductor and AI hardware ecosystem as demand for advanced computing continues to rise.
As AI adoption accelerates across industries, demand for specialized chips, edge-AI systems and intelligent hardware is likely to remain strong.
ChipMango’s model of combining talent development, commercial engineering and semiconductor innovation could therefore position the company to capture opportunities across multiple stages of the AI hardware value chain.