Over three weeks in Lagos, we are bringing together curious people, working builders, and everyone in between — for a hackathon, workshops, and a conference all answering the same question: what does AI look like when Africans are the ones building it?
There are a lot of young Africans paying close attention to AI right now. Some are curious, many are ambitious, and a lot of people are already trying to figure out where they fit. However, there are not nearly enough spaces built to actually empower them.
The Artificial Future is trying to be a space that empowers these people. If this resonates, join us.
Over several weeks, you will take part in workshops that build real skills, collaborate with others in a live hackathon, and join a conference where Africa's most ambitious thinkers share what they are seeing and building. Active participation involves learning, building, and exposure. All of it is connected.
Whether you are a student, a developer, a founder, a researcher, a policy maker, or an investor — you belong here. You do not need to arrive as an expert. We have found that since 2022, across every event we have run, the most interesting things happen when you put curious, ambitious people in the same room together. This is that room.
Practical sessions led by people building at the forefront of AI. Expand your view of what is possible — whether you are in the hackathon or just here to learn.
See Schedule →A full week to build something that did not exist before. Pick a challenge, build a team, and work on it with mentors you can actually talk to.
View Tracks →A full day of talks, panels, and conversations with leading voices in AI from across Africa and beyond. Open to anyone — no hackathon participation required.
Get Tickets →Led by people living day-to-day as AI builders. Online. Free.

Subomi Salami
Subomi is a Senior PM at Microsoft AI and she's been figuring out, in real time, what it means to manage AI products and use AI to do her job better. In this session, she shares the honest account of that journey, including the tools she uses daily, the skills she's building, and how to think about evaluating AI output.

Andrew Nduati
MCPs are one of the most important shifts happening in AI right now, and most people have no idea what they are. Andrew breaks it down using Paystack's MCP server as a live, real-world example, showing what MCPs unlock and how to think about building with them.

Jeremiah Nnadi
In this session, I'll show how you can now design, prototype, test, integrate, and ship your own tools. The space is so matured that you can create software built for your goals, running on a stack you actually own and operate. Using a personal finance app I built (Kolo) as a case study, we'll walk through each stage of the build: turning an idea into a designed interface, a working prototype, tested code, real data integrations, and a maintained product (with AI at most steps). The goal isn't to teach you to build a finance app. It's to show what's possible when you stop outsourcing software to other people. You don't need a team, a big budget, or a traditional engineering background. All that's really essential is a problem you care about, a careful process, and a willingness to actually interact with technical workflows.

Nkechi
Before you jump into randomly prompting Claude or Lovable, you need to get your foundation right. This session gives you the framework for using AI to augment your ability to build — covering spec-driven development workflows, patterns for interacting with AI tools, and how to think about your role as a builder in the age of AI.

Bola Banjo
Agents are the next frontier in AI but building them safely is hard. Bola walks through what makes agents powerful, what makes them risky, and how Cencori's infrastructure approach lets builders create safe, scalable agents without reinventing the wheel.

Tonative Data Academy
African languages are underrepresented in AI because the training data simply doesn't exist at scale yet. This workshop changes that, starting with you. Led by tutors from the Tonative Data Academy, you'll learn how the data gap came to be, what it means for AI systems in African contexts, and how to personally contribute. You'll leave with practical skills to curate your own language dataset and publish it for use in AI model training and evaluation. No prior technical background needed — if you speak an African language or care about how it's represented in AI, this session is for you.

Uche Onyeka
Most people think design is something you either "have an eye for" or you don't. That's not true anymore. Uche walks through how designers and non-designers alike can use AI to think through problems, generate interfaces, prototype ideas, and ship things that feel intentional — using real examples from his own projects. The goal isn't to turn you into a designer. It's to show that in 2026, the gap between an idea and a product that looks real is smaller than you think.

Bunmi Akinremi · PyData Lagos
WER is the standard metric for evaluating speech models — but it regularly misjudges real-world quality when models meet African accents, dialects, code-switching, and noisy environments at scale. Bunmi walks through what breaks down and why, then introduces production-grade evaluation approaches that actually reflect user experience: semantic correctness, error severity weighting, task success, and monitoring for drift over time.
Fintech in Africa is not a solved problem. There are still processes that need to be optimised for scale, people without bank accounts, informal traders outside financial infrastructure, and legacy institutions sitting on data AI could help unlock.
Most AI tools were not built with Yoruba, Igbo, Hausa, Pidgin, Swahili, or Arabic in mind. Build something genuinely useful to people in their own language.
Inconsistent connectivity. Overstretched teachers. Learners who need to work while they study. Build tools designed around real African constraints.
Hospitals that cannot always be relied on. Supply chains under pressure. Communities where care does not reach. Build around weak infrastructure — not despite it.
Designed across two full weekends so you can go through the motions like real builders. In-person sessions take place across Lagos — exact requirements for each day are listed below.
Kick off, meet your team, and get building.
Bring a valid ID card. Be ready to provide your name and phone number by Wednesday May 27th.
Focused building time to get your prototype off the ground.
Download the Cafe One app, get onboarded on the YPIT Channel, and pay a 50% discounted workspace rate of ₦3,000 (excl. VAT).
Heads-down building with structured mentor support.
Provide your name at entry.
Keep building. Mentors are on hand.
Just show up and build.
The final push before closing. Make it count.
We wrap up the build week together and look ahead to Demo Day.
Final submissions due. Polish your project and send it in.
Top teams present live. Awards, panels, and the full Artificial Future Conference.
The Artificial Future Conference is a standalone day of talks, panels, and conversations about the state and future of AI in Africa and globally. Curated to be genuinely useful — not just inspirational.
We will also be showcasing the most ambitious Hackathon projects. The best teams present in front of a live audience, and we will award prizes and crown a winner on the day.
Open to anyone. You do not need to have participated in the hackathon to attend. Tickets are paid and capacity is limited.
Get Conference Tickets →June 13, 2026
The Civic Centre, Lagos Island, Nigeria
Keynotes from leading voices in African AI
Workshops, roundtables, and panels
Top hackathon teams pitch live — YC-style
Dedicated breaks and closing reception
Data, infrastructure, applications, and policy — how the verticals work together, or don't.
A technical journey through the history of AI, the key breakthroughs behind modern language models, and how they evolved into today's agentic systems.
Ayomide Odunmakinde · Member of Technical Staff, Cohere
Local founders building AI-first businesses share what the journey actually looks like.
Founders, angels, and institutional investors on funding the ecosystem.
Top teams present to a live audience of investors, corporates, and community. Judges deliberate.
Prize announcements including named award categories from headline partners.

From Next Token Prediction to AI Agents
Ayomide is a member of technical staff at Cohere where he is working on agents and reasoning models. He was previously a research scholar at Cohere Labs, contributing to advancing large language models — with his most recent work focusing on optimising the training of compact, high-performance multilingual models.
He also has experience working on video and audio understanding. In his spare time, he plays a lot of video games.
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Our mentors bring real-world experience across AI engineering, product, research, and business. They're here to help you think clearly, build faster, and go further.

Chief Technology Officer · Synergya.io


AI System Architect, Team Lead Data & AI · Infinion Technologies

ML Research Engineer · Intron Health

Co-founder & Business Lead · Quonos


AI Engineer · Awarri


AI Product Manager · Heala Tech

Frontend Engineer · African Fintech Foundry

AI/ML Engineer & Lecturer · Pan Atlantic University

Co-founder · Cencori
Find the path that fits you — we hope one does, no matter who you are.
We are not trying to find the people who are already good at this. Students, developers, founders, researchers. Experts and total beginners. Some of the best things get built by people who had no idea what they were capable of on day one.
Register solo and we will help you find teammates during the opening session. Teams are between 2 and 4 people. The hackathon and workshops can be joined remotely from anywhere in the world.
We are grateful to the partners who believe in what we are building. More announcements coming soon.






















Capital, technology, utility, and people partnerships available.