The Chancellery
Sovereign intelligence analysis using AI on World Bank and IMF data.
Product memo
Global development analysts, researchers, and institutions use The Chancellery for sovereign intelligence analysis. It grounds AI reasoning exclusively in verified World Bank and IMF data, providing benchmarked macroeconomic, fiscal, and institutional indicators across 214 economies. This focus on a specific, verified dataset offers a unique wedge against broader intelligence tools that use less curated sources.
- For who
- Global development analysts, researchers, and institutions
- Solves what
- Sovereign intelligence analysis using AI on World Bank and IMF data
- AI-driven insights
- 60-year historical data
In their own words
Development Intelligence,
A sovereign-grade intelligence platform for global development analysis.
Benchmark, compare, and stress-test 1,400+ macroeconomic, fiscal, and institutional indicators across 214 economies — powered by AI that reasons exclusively from verified World Bank and IMF data.
Operator & company
Company
- Founded
May 2026
Operating model
- Business model
Saas
- Platform
Web app
- Audience
General
Builder strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Small Team
Tech stack
Commercial cues
- Model
- free only
- Free tier
- Yes
- Trial
- Available
Pricing strategy
The Chancellery offers a free Explorer tier, with Enterprise handled through custom pricing.
- • Tiered monthly pricing segments users from individual analysts to larger institutions.
- • Enterprise handles custom requirements.
- • Free Explorer tier lowers testing friction.
About The Chancellery Expand
The Chancellery provides sovereign intelligence analysis for global development analysts, researchers, and institutions. The platform's core value lies in its AI, which reasons exclusively from verified chart data, ensuring reliable insights for nation benchmarking and peer rankings.
This specialized approach helps users stress-test macroeconomic, fiscal, and institutional indicators across 214 economies, differentiating it from broader tools that may lack such rigorous data grounding.