Loading... - Classified by World Bank income groups with automated 8-hour updates
The world is getting better! Most people have moved from extreme poverty to Level 2-3 in just 20 years.
Hover over bars to see 2000 vs 2024 comparison → Markets are evolving
Barefoot • Bucket for water • Cook over fire
No fund markets yet
Shoes • Bicycle • Some electricity
Basic savings emerging
Motorbike • Running water • Savings
🇮🇳 India (14k+ funds) 🇧🇷 Brazil 🇿🇦 South Africa
Car • Hot/cold water • High school
🇺🇸 USA (41k+ funds) 🇨🇦 Canada 🇦🇺 Australia 🇰🇷 Korea 🇭🇰 Hong Kong
🌍 The World is Improving: Since 2000, 1.1 billion people moved from extreme poverty (Level 1) to Level 2-3. As countries progress to Level 3-4, financial markets mature and fund data becomes accessible. Our coverage grows with this evolution—starting with transparent markets, expanding as infrastructure develops.
Everyone chases US tech. But where are the hidden opportunities?
Real alpha comes from seeing what others miss → Cross-border flows reveal untapped markets
💡 The Contrarian Edge: While everyone analyzes S&P 500, we track 220,000+ cross-border holdings to reveal where smart money is quietly moving. These flows signal opportunities before they become obvious.
🎯 Alpha = Information asymmetry. Our fund holdings data shows you what retail investors can't see.
Income per person >$14,005 • Advanced financial markets
United States
Hong Kong
Australia
South Korea
Japan
Canada
Income per person $4,516-$14,005 • Emerging markets
Brazil
China
South Africa
Income per person $1,306-$4,515 • Growing markets
India
Philippines
Income per person <$1,305 • Frontier markets - Coming in 2026
Expansion to frontier markets planned for Q2 2026. Coverage will include regulated investment vehicles in developing economies across Africa and Asia.
Fund names and data in both local language and English
Real-time currency conversion with daily rate updates
Automated data loading every 8 hours from official sources
Step into the future with StanShare AI. Our advanced technology solutions push the boundaries of innovation, enabling organizations to harness data with greater intelligence and control. StanShare AI delivers specialized AI and Machine Learning solutions for the financial services and data ecosystem. We help firms unlock value through data mining, intelligent data cleansing, and robust data quality governance across Funds, Equity, Fixed Income, Market, and Reference Data. Our platform brings these capabilities together with end-to-end data observability, ensuring accuracy, reliability, and confidence across the entire data journey.
Problem: Asset managers struggle with siloed data across Funds, Equity, Fixed Income, and Reference Data—leading to incomplete views and costly reconciliation.
Our Solution: Unified platform aggregating 55,000+ funds across 10 countries with standardized schemas, eliminating data silos and reducing reconciliation time by 80%.
Problem: Teams discover data quality issues only after they reach production—resulting in incorrect reports, failed trades, and regulatory breaches.
Our Solution: Real-time observability tracking 220,986+ holdings with anomaly detection, data lineage, and automated alerts—catching issues before they impact business.
Problem: Manual data quality checks are error-prone, inconsistent, and can't keep pace with regulatory requirements—exposing firms to fines and reputational damage.
Our Solution: Automated governance frameworks with ML-powered validation, audit trails, and SEC/ASIC/CVM compliance—reducing audit prep time from weeks to hours.
Intelligent data cleansing and mining to eliminate errors, inconsistencies, and duplicates across your financial data ecosystem
Robust governance frameworks ensuring your data meets stringent regulatory requirements and audit standards
Unified platform handling Funds, Equity, Fixed Income, Market, and Reference Data with seamless integration
Complete visibility across data pipelines with real-time monitoring, anomaly detection, and comprehensive lineage tracking
Real-time monitoring and alerting for data pipelines ensuring smooth Extract, Transform, and Load operations with proactive issue detection
Design and implementation expertise for comprehensive data quality frameworks with validation rules, quality metrics, and continuous improvement processes
Founder
Visionary leader with 15+ years in financial data management and AI innovation. Founded StanShare to solve the chronic data quality and observability challenges plaguing asset managers and financial institutions.
Previously led data governance initiatives at top-tier investment banks, witnessing firsthand the $millions lost to poor data quality. Expert in SEC/regulatory compliance, ETL pipelines, and ML-powered data cleansing.
Passionate about democratizing access to clean, reliable financial data across global markets. Drives StanShare's mission to bring transparency and intelligence to 55,000+ funds worldwide.
Head of Technology
Technology architect with deep expertise in scalable cloud infrastructure and data engineering. Leads StanShare's technical vision, overseeing architecture for processing 220,000+ fund holdings across GCP Cloud Run, PostgreSQL, and automated ETL pipelines.
Specializes in building production-grade financial data platforms with 99.9% uptime. Expert in Python, Flask, PostgreSQL, Docker, and CI/CD automation. Previously architected data systems at fintech unicorns handling billions in transactions.
Drives innovation in AI-powered data quality monitoring and real-time observability. Ensures StanShare's platform scales seamlessly as we expand from 10 to 100+ countries.
Head of Human Culture
People-first leader shaping StanShare's organizational culture and talent strategy. Builds high-performing teams by fostering psychological safety, continuous learning, and innovation. Champions diversity, equity, and inclusion across all levels.
Expert in startup culture design, remote team management, and employee engagement in fast-paced tech environments. Previously led HR transformation at growth-stage companies, scaling teams from 10 to 200+ while maintaining culture.
Passionate about creating workplaces where people thrive. Implements progressive policies around work-life balance, mental health, and professional development. Ensures StanShare attracts and retains world-class talent.
Head of Marketing
Strategic marketer driving StanShare's brand presence in the financial data intelligence space. Crafts compelling narratives that translate complex data quality challenges into clear business value for asset managers and institutions.
Expert in B2B fintech marketing, content strategy, and demand generation. Previously led marketing at enterprise SaaS companies, driving 300% pipeline growth through thought leadership, SEO, and strategic partnerships.
Owns StanShare's go-to-market strategy across 10 countries. Builds trust with C-level executives through data-driven storytelling, webinars, and industry events. Ensures our message resonates with both technical and business audiences.
Chief Financial Officer
Co-founder
Let's discuss how we can transform your financial data ecosystem