Importing Intelligence: What Production-Centric AI Sovereignty Misses
A political-economy analysis of LLM token flow: dependence is concentrating in the flow layer — the gates every inference request must clear — not in who produces models.
Studio
Studio of open data intelligence.
tanitdata is a studio of open data intelligence, operating from Tunisia for North Africa and beyond. We build the end-to-end layer between open data and public understanding in the age of artificial intelligence — for researchers, journalists, policymakers, and civil society.
A distinctive voice runs across the work: our public positioning on how open data should be made accessible in the age of AI, particularly in the Global South.
Three stages, one practice
Access, analyze, inform — a single practice that closes the gap between public data and public understanding in the age of AI. Each stage below surfaces the work that serves it.
Access
All toolsAI-native access to open data, so that reaching a dataset is as immediate as asking a question.
agridata MCP
A Model Context Protocol server connecting LLM clients to Tunisia's open agricultural data.
INS MCP
Ask Tunisia's national statistics in plain language — an MCP server over the INS data portal.
tanitmap-ai
The first agentic map for Tunisian agricultural data — ask in natural language, get a chart, map, table, or short text in return.
Analyze
All researchThe studio and its research fellows turn accessible data into conclusions that are specific, contestable, and empirically grounded.
First analyses coming soon.
Inform
All publicationsPublishing designed for how public actors, funders, journalists, and civil society actually read.
Southern Tunisia's Date Oases: Monitor the Aquifer, Not the Yields
Twenty-two years of satellite data: the aquifer is draining, harvests keep growing, but climate is starting to show through in good and bad years again.
Sidi Bouzid's Solar Paradox: Diffusion Without a State
Seven points to understand how 3,201 solar pumps appeared in Sidi Bouzid without public subsidy, and what the 2025 Finance Law still needs to fix.
Tunisia's 2026 Oil Shock: A Six-to-Nine-Month Policy Window
A stress test of Tunisia's exposure to the 2026 Middle East oil shock, using IFs v8.28 across a moderate and a protracted scenario, with three sequenced policy recommendations.
Principles
- AI-native. Infrastructure, research, and analysis designed for the age of AI assistants — not retrofitted.
- Autonomous. A studio with multiple partners, no parent organization.
- Grounded. Strategic analysis rests on concrete technical work.
- Public. Open data should remain openly accessible.
Partners
tanitdata works with partners who share the studio's commitment to public access to data. None holds parent-organization status.
