PhD-level institutional expertise. 9+ years building AI for regulated industries. Goldman Sachs calibre execution.
Role: Predictive Analytics & AI Infrastructure
Built machine learning pipelines for energy trading and commodity forecasting. Developed real-time risk monitoring systems for €50B+ energy portfolios. Worked with institutional traders and risk managers on production AI systems.
Key Skills: Predictive modeling, time-series analysis, production ML systems, institutional risk management
Role: AI Diagnostics & Regulatory Compliance
Led AI diagnostic systems for healthcare, working with regulatory bodies on FDA/EMA compliance frameworks. Deep expertise in regulated AI deployment, audit trails, and validation protocols. Learned how to build AI systems that satisfy institutional governance and regulatory scrutiny.
Key Skills: Regulated AI, FDA/EMA compliance, audit documentation, validation protocols, institutional governance
Role: Institutional AI & Financial Analytics
Architected AI systems for global financial institutions. Worked with central banks, sovereign wealth funds, and multinational corporations on portfolio analytics, risk decomposition, and compliance automation. Gained deep understanding of institutional buyer psychology, boardroom dynamics, and the specific analytical gaps that plague mid-market wealth managers.
Key Skills: Portfolio analytics, risk decomposition, compliance automation, institutional sales, central bank engagement
Role: Founder & CEO
Founded CapX100 to solve the analytical gap facing independent wealth managers. Combines 9+ years of institutional AI expertise with deep understanding of regulatory compliance (GIPS, SEC, MiFID, FCA). Building the quant platform that mid-market RIAs deserve—without the enterprise software complexity.
Focus: Institutional-grade analytics for independent wealth managers. PhD-level methodology. Goldman Sachs calibre execution.
MIT Data Science & AI
Advanced coursework in machine learning, statistical inference, and computational finance
CFA Candidate (L2)
Deep expertise in investment analysis, portfolio management, and ethical standards
GIPS 2025 Implementation
Expert-level knowledge of Global Investment Performance Standards and compliance
Regulatory Frameworks
SEC Marketing Rule, MiFID III, FCA Consumer Duty, FINMA FIDLEG
Portfolio Analytics
TWR, MWR, Brinson-Fachler attribution, risk decomposition, factor analysis
Risk Methodology
VaR, CVaR, stress testing, scenario analysis, fixed-income analytics
Enterprise Scale
Built systems for €50B+ portfolios, central banks, sovereign wealth funds
Boardroom Presence
Presented to investment committees, regulatory bodies, and C-suite executives
When you're managing client portfolios and facing regulatory scrutiny, you need to trust the person behind the analytics. Abshir's track record—Shell, Eneco, WHO, ING, Microsoft, World Bank—proves he understands both AI and regulated finance at the highest level.
CapX100 isn't built by software engineers guessing at finance. It's built by someone who has deployed AI in regulated industries, worked with institutional traders and risk managers, and understands the specific analytical gaps that plague mid-market RIAs. Every calculation is correct. Every output is audit-ready.
From WHO healthcare AI to central bank engagements, Abshir has spent years building systems that satisfy institutional governance and regulatory scrutiny. GIPS 2025, SEC Marketing Rule, MiFID III, FCA Consumer Duty—these aren't afterthoughts. They're baked into CapX100's DNA.