Extractives
May 2026
Extractives Revenue Intelligence Framework
A policy and analytics framework for identifying revenue leakage, transfer pricing exposure, and cost recovery risks in resource sectors.
Independent policy platform
Maitras.ai is an independent research and policy platform focused on tax data analytics, AI in tax administration, and inclusive economic systems for governments and global institutions.
Flagship Direction
A data-driven framework for measuring how women appear across financial systems, labor data, enterprise records, and policy design.
Who We Are
Maitras.ai is a global knowledge hub dedicated to public finance, tax policy research, and data science applications in developing countries.
What We Produce
Maitras.ai translates technical research into practical public-sector intelligence with a focus on institutional relevance and implementation use.
Built for developing economy contexts where tax administration, data quality, and implementation capacity must be addressed together.
Featured Research
Extractives
May 2026
A policy and analytics framework for identifying revenue leakage, transfer pricing exposure, and cost recovery risks in resource sectors.
Gender & Inclusion
May 2026
A structured approach to measuring how women remain underrepresented in economic datasets and why that weakens policy quality.
Data Science & AI
May 2026
A scalable framework for improving audit selection in low-data environments using targeted machine learning and institution-aware design.
Why Maitras.ai
Maitras.ai focuses on bridging the gap between tax policy and implementation, data science and government capability, and economic theory and real-world systems.
Latest Insights
Insights provide shorter-form analysis that extends the research agenda into practical, decision-relevant commentary.
Policy Insights
Jun 2026
Economic participation without visibility leads to weaker policy design, mismeasured contributions, and missed fiscal opportunities.
Policy Insights
Jun 2026
Revenue performance is often judged at a macro level even when the underlying tax data is incomplete, delayed, or weakly integrated.
Policy Insights
Jun 2026
AI in tax administration is most useful where it improves prioritization, segmentation, and compliance workflows rather than replacing judgment.
Data & Tools
Systems Layer
Data and tools convert Maitras.ai research into operational methods, structured models, and applied analytical support.
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Jun 2026
A composite index measuring how visibly women are represented across economic and data systems.
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Jun 2026
A structured model for estimating public revenue under uncertainty using macro and sector-specific inputs.
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Jun 2026
A machine learning-based framework for taxpayer risk profiling in low-data environments.
Initiative Highlight
Using data science for women’s economic empowerment in developing countries, Maitras.ai explores how invisible economic participation can be measured and improved.
Women, Data & Economic Power
An initiative focused on measuring hidden participation, improving visibility, and supporting gender-responsive policy design.
This initiative explores how invisible or weakly measured participation affects public policy and economic opportunity. Maitras.ai applies data science, AI, and economic reasoning to improve how women’s participation is quantified and acted upon.
GEVI prototypes, concept notes, country diagnostics, and policy design frameworks.
Explore initiativeCollaboration
Maitras.ai is designed to support governments, development institutions, and researchers working on tax systems, analytical capability, and inclusive economic development.
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