Building African Intelligence
Lattanye is at the outset, the very beginning, of a generational project.
The more familiar path for today's startups, in seeking the affection and capital of the Valley, has been to build enterprise or consumer products. To build for the West. We declined to take this approach.
As a result, we continue to face firm questions about the potential profitability and, indeed more fundamentally, the wisdom of our approach. Others are skeptical of what some, not incorrectly, describe as a nonexistent market for artificial intelligence systems.
It is a market they cannot see because they are measuring the wrong thing. Africa has the fastest-growing population in the world. A continent where the median age is barely 20, with more than 60% below 25.11. United Nations, "Population" United Nations DESA, "Development Prospects for Africa in the Context of the Global South" (2024) Chido Mpemba, "Empowering Africa's Youth: A Commitment to Our Future," Africa Renewal (2024) . And with or without invitation, the numbers are simply hard to ignore.
The question is not whether intelligence comes to this continent. It is who owns it when it arrives. I have no doubt that competent leaders of government and enterprise will, over time, choose sovereign AI over generalized LLMs. That, coupled with a large untapped African market, sets up Lattanye as the pioneer of something special. An understanding of where intelligence creates value, the limits of generalized models, and the future of African intelligence makes this outcome not merely possible, but necessary.
I. The Consumer Trap
Consumer artificial intelligence is a race to serve the average human being alive, and the average human being alive is a statistical figure who resembles no African. That race is essentially over, and it was won by companies whose distribution and capital and models will not be matched on this continent for a generation. The African consumer product is a thin layer stretched over a borrowed model. The model is theirs. The learning is theirs. The value is theirs. Africa performs the work of acquiring the user, absorbs the cost, and surrenders the only thing that compounds. We have lived this story in every commodity we ever pulled from our own ground. We mined the cobalt and queued to buy the phone.33. International Energy Agency, "Reliable Supply of Minerals," The Role of Critical Minerals in Clean Energy Transitions . A continent of wrappers is a continent of middlemen inside its own economy, renting back its own reality and calling the rent progress.
African consumers do not have the liberty to pay exorbitant subscription fees for unnecessary wrappers in the first place. The economics that built consumer technology in the West do not survive contact with our incomes.22. International Telecommunication Union, Measuring Digital Development: Facts and Figures 2024 . So we are behind. Not by a little, and not in a way that catching up on that same path will fix. The frontier models are foreign. The compute is foreign. The capital and the standards are foreign.44. African Union, "Africa Declares AI a Strategic Priority as High-Level Dialogue Calls for Investment, Inclusion and Innovation" (2025) UN Trade and Development, Technology and Innovation Report 2025: Inclusive Artificial Intelligence for Development . We are spectators to the most important infrastructure of our lifetimes. Yet we are subtle enough students of history to understand what becomes of those who arrive after the value has been divided. Every technology that reached this continent finished leaving us poorer. This one is worse than the ones before it. The others took a resource. This one takes knowledge. And although it has become unpopular to concede that we live in a continent of constraints, both ideological and economic, we must build intelligence for Africa as it is, not as we wish it might be.
II. Intelligence as a Utility
If consumer AI is the wrong race, the question becomes which race is the right one. It is anything but inevitable that our most compelling strides as a continent will be defined by our place in the AGI race. And whilst the development contest between frontier large language models puts us at the brink, it will not be the defining moment of our future. Artificial intelligence will redefine the world order only through its impact beyond enterprise and its advancement within the systems that currently run the lives of the general public: revenue, health, energy, and customs.55. African Union, Continental Artificial Intelligence Strategy (2024) . There is no question that this has quietly become as vital to our survival, perhaps even more so, as the vanishingly thin enterprise niches the frontier startups are scrambling to squeeze into. It has simply been less fashionable to say so.
This is the case we have been making for months, and for months our views about the ways in which African intelligence could be built and what it was capable of accomplishing were derided as fringe. We were routinely told that building technical infrastructure for the African market, let alone governments, was the surest and quickest way to run a business into the ground. Many balked at supporting us. Many were skeptical, if not outright hostile. Others insisted we should focus on catering to the needs of the West. And many more simply would not return our calls.
We have repeatedly taken what seemed to many to be enormous risks to build this, risks that, in hindsight, look almost prudent and banal. It is because of, not in spite of, this ambition, this sense of purpose, and this desire to participate in a story larger than ourselves, that we have arrived at this moment. We have grander and more idiosyncratic aims than the returns that early skeptics measure us against; our financial returns will never be the ultimate measure of the value, broadly defined, of what we are building.
The public understands what the skeptics did not: that impact beyond the average person is what matters, not the perception of results or the appearance of forward movement. The discussion seminar of African development, decades of conferences, frameworks and pledges, has been exposed as such to many, and the people have grown disinterested in the theatricality of the contemporary political stage. Yet it is that destructive culture that creates a gap that enables companies like ours to come into existence and excel, with renewed understanding that we will be judged by what we deliver, not what we promise.
The playbooks of the past are no longer working, and even the people who had believed in them now know this. No institution will survive resistance to AI; adaptation or revolution is non-negotiable. As a result, the rush toward large language models, including by African governments, has turned into a stampede. But that is not the right move, for them or their people; it reeks of a repetitive cycle. This stampede, driven by governments' lack of temerity to build, expose themselves to scrutiny, and risk failure and defeat, will have unimaginable consequences.
III. The LLM Race to Nowhere
The reason intelligent public systems, not consumer apps, are the real prize for Africans comes down to what a model is and is not. The large language models that have transfixed the world will only be capable of transforming the work of a multinational business or a government's operations if their power is unleashed within the context of a software system that has an opinionated view of the world, its idiosyncratic objects, logic, and physics.
The model alone is not that system. Models with trillions of parameters may increasingly mimic parts of a workflow, but without more, add little value to the general public. They are excellent at discrete tasks but do not knit together the complex moving parts of an actual operation, the execution that runs across a whole institution rather than sitting inside one box. And they are trained and developed on widely available knowledge, which means they serve one common denominator. They are built for the average of the world, and the average of the world is not us.55. African Union, Continental Artificial Intelligence Strategy (2024) . They have been born into this world without any sense of its contours or logic, or indeed a conception of truth or basic facts, let alone the collective knowledge of and insight into the operations of an institution that serves millions.
The language models that have captured our collective attention also have an ability to approximate truth. They are incredibly capable probabilistic engines that nonetheless have little innate sense of north or south and struggle on their own to solve complex analytical problems. Such models are necessary but not sufficient. Something more is required. The large language models alone will not lead us to salvation. They require a means of reliably and efficiently interacting with the byzantine complexity of the modern state, its tangle of datasets and operations and personnel.
That something is structure. Everyone now talks about context, about feeding the model the right information at the right moment. But context is not enough. You cannot supply your way out of chaos. Look at any government and you find the same thing: dozens of systems, each built for its own narrow purpose, each holding its own silo of data, and the greater truth lost in the seams between them. Historically, we have relied on humans to connect those dots in their heads, and no human holds a whole state in his head. Point an LLM at hundreds of disconnected, ungoverned databases and you get a system that hallucinates, that is insecure, that cannot be audited.66. National Institute of Standards and Technology, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1 (2024) . For something as consequential as a nation's money, or its medicine, or its security, that is not just useless. It is dangerous.
The strings of text produced by the language models are little without an architecture that can lend grammar, structure, and action layer to the output of these probabilistic prediction engines. The models must be tethered to objects in the real world, and it is that tether, that means of grounding and orientation to our reality, that we have built. That tether has to be sovereign, built from a specific country's objects, logic, and reality and, most importantly, able to act on them. This, no foreign model has ever seen.
A government cannot borrow that layer from a lab abroad, because the lab does not have it and cannot build it from the outside. Our governments need the right intelligence stack, the underlying technical architecture that is a precondition for write-back functions, data lineage tracking, large language models, and more generally the handoff between human and algorithmic agents that watch, reason, and act in order to make artificial intelligence work for their people at all. The terrain for every institution that seeks to survive has shifted as a result, and the institutions that build this layer for themselves will be the ones still standing.
IV. Absence Is Not an Answer
This is no longer a question of efficiency alone. AI is becoming infrastructure of extraordinary strategic consequence, increasingly embedded in systems of finance, energy, and defence, making it imperative that governments begin to treat it as such. The choice is not whether to let this technology into the machinery of the state. It is already coming. The world is in the midst of an AI revolution that is reshaping industries and economies, and the choice that remains is whether the state owns it or rents it.55. African Union, Continental Artificial Intelligence Strategy (2024) .
A gulf is emerging between those who perceive these preconditions for harnessing the power of artificial intelligence and others who are far more vulnerable and adrift. The world of AI adoption is increasingly divided between haves and have-nots. Some nations are thriving; others have been left naked on the beach. Africa does not get to assume which side it lands on.
The way onto the right side of that gulf is plain. It should be uncontroversial that the single most effective means of getting artificial intelligence to work for these economies is to make everyday public systems intelligent. Governments cannot continue to hide behind a purely oppositional identity to avoid the revolution and, now, the efficiency that intelligent public systems make possible. And that is the system, singular and without peer, we believe we are building.
The rewards from a real embrace of AI here will be immense, both in terms of human liberation and economic prosperity. The construction of such a platform, one that reflects our commitment to risk-taking and innovative ambitions, should be a rallying cry for progressives and critical thinkers across the political spectrum who profess to be interested in advancing human interests. And yet many take the easier path, blithely dismissing technology as the enemy and thereby deprive themselves of any role in crafting our most capable weapon.
Indeed, if we fail to act, to formulate an affirmative view of what technology can accomplish, the undirected logic of the market will decide for us. It will fill the chasm that has opened as a result of our contemporary skittishness to define who we are as a people and what we aspire to create.
V. Belief in African Intelligence
To build this, we first have to believe we are allowed to. We have, as a continent, and perhaps as a civilization, grown uncertain of what we believe and far too fearful of embracing any degree of specificity of our own, deferring instead to systems and standards built elsewhere, for someone else.
But what exactly are we deferring to? A reticence, or perhaps an incapacity, to pronounce and to prefer, beyond the shallow and ritualistic deference to whatever was built abroad, has had costs. A tolerance of everything, a shallow embrace of all systems and standards as equally valid for us, devolves in the end into a belief in nothing of our own.
Our governing class is not merely adrift, as many have claimed, but has lost a sense of confidence, self-possession, and internal resolve. It is not quite clear what much of it even holds dear, beyond its own continuation in office. And so the question presses: is the African state nothing more than an economic zone, an empty administrative vessel, through which a self-imposed elite and its foreign vendors travel and enrich themselves? We have, in too many capitals, abandoned the work of deciding what we are for, and we are in retreat, so fearful of common endeavor and identity that all that remains is the management of appearances. It is that instinct, to prize the management of our own image above the building of anything real, that makes possible the borrowed system, the imported dashboard, and the fabricated sense of progress.
We should, and indeed must, return to a shared continental experience, an embrace of common identity that by definition puts forward certain ideas, values, and ways of building at the exclusion of others. It is and was a mistake to casually proclaim that every imported system serves us as well as one built for our own reality. Some tools are wondrous and generative. Others are destructive and deeply regressive when dropped onto ground they were never designed for. And the greater mistake still is to believe we must adopt the world's defaults to be taken seriously.
And yet we have, as a culture, resisted, some actively and strenuously, the degree of conviction in our own reality that would make such building possible. Sovereign intelligence is, by definition, particular. It puts forward a specific reality, our objects, our logic, our priorities, and necessarily rejects the generic. The same instinct that makes us hesitant to assert who we are is the instinct that would have us rent our intelligence rather than own it. It is that pursuit of something of our own, and the rejection of a borrowed and generic default, that will ensure our continued strength and survival.
VI. What We Are Building
Everything we build answers to one person: not the average user the frontier optimizes for, but the citizen those systems were never designed to serve, the edge case by the measure of a model trained on someone else's world. Lattanye makes possible quantifiable and transformative results for that human. Our agentic systems are inspired by reality, and there is, here, a dialectic between ground truth, tribal knowledge, and that edge-case person. The institutions that we serve, representing the durable, load-bearing infrastructure of our society, grasp this. They demand nothing less; they know society can afford nothing less.
We have therefore taken a different path, building a juggernaut of a business that will deliver intelligence to that person. Lattanye is in a category of its own. In the end, the route for us to something impactful, a generalizable agentic artificial intelligence OS, was made possible by an obsessive focus on the specific, particularized and quite idiosyncratic challenges and technical problems of our disparate set of customers, African governments.
We deploy autonomous agents that watch national data, reason across ministries, and act. Our flagship platform, Owo, is a financial intelligence OS built for treasuries. These financial agents make accountability possible for the taxpayer, autonomously acting before the money is gone and redundant investigations and audits surface.
There is really nobody making the case that the African market should have second-rate AI capabilities or lackluster software. If we are going to have agents operating within consequential public systems on behalf of our governments and people, they deserve the best. We stand on the walls, sentinels of the inner sanctum, against the assault of AI slop. And it has been our essentially aesthetic instincts, our willingness to treat taste as a discipline rather than an afterthought, that have shaped how this system is built.
Some on the outside would find it striking how we continue to build this company. We are less a conventional startup than an engineering commune pointed at a single conviction. A remarkable amount of delusion and grandiosity is permitted, even encouraged, because the work is too hard and the stakes too high for deference. The raw power of authority is wielded sparingly. It is that tolerance for dissent, for ambition, for rogue ideas about what a government could be, that produced the architecture in the first place.
This is at once a hard-headed and a romantic enterprise. We will get there only through a fierce pragmatism, a nearly ruthless focus on real-world impact at the expense of the performative and the theatrical. What we are building is, perhaps more importantly, a business built around solving problems, not around legions of well-credentialed consultants with their presentations and wise counsel benefitting from the problem continuing to exist. And yet we have arrived at this conviction as much through a fierce idealism, a refusal to accept the existing limits on what intelligence can do for low- and middle-income countries.
VII. The Future Is Intelligent
The next chapter belongs not to the critics and bystanders, those at the margins of creative empires, but to those who build them. The future belongs not to those who style themselves as creators, or even to the merely brave, but to those who actually build something substantial and lasting. The skeptics and cynics, those who doubt without putting anything at risk, and those who deride the work of others without even feigning to construct something of their own, will be swept aside.
It is a mistake to think of the act of creation, of building something from nothing, as belonging only to the West. Far from it. Young Nigerian, Kenyan, and Rwandan coders are creators in the thickest sense of the word, and we should celebrate the risks they take and the things they build. And yet the chattering class, the merely critical, have lulled this continent into a kind of sleep, into believing that commentary and rhetoric alone, without any corollary or yardstick in the physical world, are sufficient. It is an uncomfortable fact that those most bearish on their own ability to 'develop' often turn instead to organizing, to position, to the politics of the conference room. We have declined to bend our way of working to a world in which success is whatever passes for success. And it would be prudent to prepare for a world in which that critical class finds its power over the culture diminished and in retreat.
There will be incumbents, the consultancies and the vendors of expensive nothing, who would prefer we did not exist, and there will be officials who pray for our failure because our success exposes theirs. The temptation is to cast them as caricatures, to refuse them any strength or any humanity, and that temptation is a trap. A maniacal obsession with one's own virtue, and the insidiousness of one's enemies, is blinding. The most withering portrait of an opponent is the one that finds the drop of humanity in him, because it is the one that understands him well enough to defeat him. A degree of grace toward those who have wronged us, even those who would pray for our demise, is not weakness. It is the lethal advantage of seeing clearly while they do not.
We are still at the very start of things. But we are already far behind, and that gap is only growing. With continued execution, a focus on what matters, and a near-complete disinterest in what does not, we believe that sovereign intelligence will be the dominant model of the future. And the market is now waking up to this reality. We have already built it.