The vision behind Soccerlytica
Africa’s football talent
meets the world.
We are building the African Football Intelligence Platform — the infrastructure layer that turns every grassroots and academy match on the continent into scout-grade intelligence the world can trust.
The problem we are solving
The world’s most untapped talent pool runs without infrastructure.
Africa has more than 500,000 semi-professional and academy football players, half a continent of talent, and a recruiting pipeline that still runs on personal contacts, in-person scouting trips, and informal video sharing. There is no continent-wide intelligence platform connecting that talent to the international game.
The companies that built modern football analytics — Wyscout, Hudl, StatsBomb, Second Spectrum, SkillCorner — do not cover sub-Saharan Africa, and structurally cannot. Their cost models depend on broadcast feeds, manual taggers, and stadium installs that simply do not exist here. The gap is not an oversight; it is a category waiting to be defined.
What we’re building
An intelligence platform powered by specialised AI agents.
Soccerlytica is not a dashboard. It is a family of specialised AI agents — each with a defined audience, a defined job, and a defined deliverable. The flagship is the Scout AI Agent: ask it to watch every available match of a given player and it produces a scout-grade technical report — strengths, weaknesses, physical profile, tactical fit, recommendation — with every claim cited back to a specific clip the scout can verify in two clicks.
The Scout AI Agent ships first. The Match AI Agent, Talent AI Agent, Comparison AI Agent, Coach AI Agent, and Recruitment AI Agent follow over V2 through V4. Each shares the same underlying analytics layer, the same Trust Score discipline, and the same architectural commitment: refuse confidently before you bluff.
V1 building
Scout AI Agent
V2
Match AI Agent
V2
Talent AI Agent
V2
Comparison AI Agent
V3
Coach AI Agent
V4
Recruitment AI Agent
The architecture
The AI agents read. The CV models see. We build both.
The two-specialist architecture is the most important technical decision behind Soccerlytica — and the same architecture every serious sports analytics, autonomous-driving, and medical AI company has converged on.
Specialised computer vision models do the seeing: they detect players, identify the ball, locate pitch landmarks, and produce precise, deterministic measurements in real metres. They are auditable, reproducible, and trained on our own labelled corpus of African football frames.
AI agents powered by Claude do the reasoning: they read the structured analytics, identify patterns across matches, write the report, select the citation clips, and refuse to produce a verdict when the data is too thin. They are confident, articulate, and cite every claim back to a source the scout can verify.
Neither layer alone is enough. Foundation models cannot reliably measure distances in metres at production cost and latency. Computer vision models cannot write a scout report. Together they form an intelligence system that is precise, cited, and economically viable at scale.
Why Africa, why now
The largest under-served football geography on Earth.
Africa has 1.4 billion people, half under twenty-five, with football as the dominant cultural sport. African players move into European, Middle Eastern, and Asian top-flight football every transfer window — but the pipeline that surfaces them is informal, slow, and dependent on individual relationships. A federation in Accra has no way to objectively demonstrate the quality of a development pathway. A scout in Lyon has no way to build a comparable intelligence picture of an academy in Lagos.
Three concurrent shifts make this the right moment. AI agents have crossed the threshold of usefulness. Specialised vision inference has fallen ten times cheaper in three years. And African football is at an inflection point of international visibility. The window to define the category is 2026 to 2028. Whoever owns this window owns the infrastructure layer for the next decade.
The moat
Data we own. Technology we built. Workflow that compounds.
Data
The only labelled corpus of African football
Our analytics layer is trained on a corpus we build, expand, and back up ourselves. No competitor can buy it. Every partner upload deepens the asset.
Technology
Specialised CV + agent reasoning
Two specialists, each tuned for one half of the job. Foundation models reason; specialised vision measures. The combined architecture is auditable and economically viable at our scale.
Workflow
Every interaction compounds
Saved shortlists, private notes, watchlist alerts, archived reports. After six months on Soccerlytica, switching cost is no longer learning another tool — it is rebuilding a working memory of African football from scratch.
Our north-star principle
“Refuse confidently before you bluff.”
Every agent, every report, every claim. A confident refusal builds trust over time; a confident hallucination destroys it forever. We treat that as architecture, not aspiration — built into the system, not added on.
Who is building this
Based in Accra. Built for African football.
Soccerlytica is founded by Mahmoud Jajah, solo founder based in Accra, Ghana. The product is being built with the modern AI-native engineering workflow — small, fast, and deeply technical, with deep AI development partnership. We are deliberately staying small until product- market fit is proven with paying scouts.
Being on the ground in the geography matters. Soccerlytica is not a Silicon Valley company building Africa from a thousand miles away. It is built in Africa, by Africans, for African football’s connection to the world.
Soccerlytica is, in the largest framing, infrastructure for talent meritocracy in African football. That is not just a business. That is a positive-sum contribution to the structure of one of the most consequential sports markets on Earth.
10-year vision
Every African footballer with talent has their data on Soccerlytica. Every scout, agent, sporting director, and federation building African football starts their day on Soccerlytica. Every transfer from Africa routes through Soccerlytica’s intelligence layer.
That is what winning looks like. Not a successful startup — the infrastructure layer for an entire continent’s football intelligence.
Talk to us
Open to partners, investors, federations, scouts, and the press.
info@soccerlytica.com
Headquarters
Soccerlytica, Accra, Ghana
Be part of building this
The Scout AI Agent opens to invited scouts soon.
Tell us who you are and what you do. We’ll be in touch as the platform opens to its first beta cohort.
Built in Accra · for African football · for the world’s scouts