Beta
Ecosystem Intelligence Reports
Sourced reports and datasets on who is building what with AI in Africa, for ecosystems, funds and foundations.
The split
- LLM writes
- Extracts facts and writes the narrative
- System One decides
- Scores relevance and credibility of every source; flags contradictions
- Code executes
- Dedupes, dates, counts and charts
Engine
Research agents gather and extract; the brain scores source credibility and relevance; an editor writes the narrative.
Rulebook
What correct means here, and the mistakes we've already caught. It grows one job at a time.
- R01Every claim has a source link; every number has a date.
- R02Primary sources beat press releases; press releases beat social posts.
- R03What we couldn't verify gets its own section.
- R04No ranking without a published method.
Intake
- The research question
- Geography and sectors
- Who will read it
- Public or private
- UNIT
- One report with its dataset
- REVIEW LAYER
- An editor verifies every chart and a 20% sample of claims.
- DELIVERY
- A web report, the dataset as CSV, and a briefing call.
- TURNAROUND
- 2–3 weeks
How we find buyers
- Free summaries, paid datasets and briefings
- Ecosystem and fund teams at events
- Griot readers
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