Made In India 
Made For Indian Markets
Fundgazer Wealthtech Analytics Pvt. Ltd. is a quantitative research firm powering the Fundgazer App — designed to bring disciplined, data-driven investing to Indian investors with a digital-first approach.
We exist for investors who believe long-term wealth is built with structure — not speculation.
We combine machine learning, financial models, systems engineering, and advanced statistics to build intelligent investment systems tailored for Indian markets.
Meet Our Team
We are a research-driven team of engineers and finance experts building systematic investment strategies. Our decisions are grounded in probabilities, models, and rigorous validation.
Mike Torello
Marketing Manager of Upnow Marketing Manager of Upnow
Sarah Chen
Marketing Manager of Upnow Marketing Manager of Upnow
David Kumar
Marketing Manager of Upnow Marketing Manager of Upnow
Emma Wilson
Marketing Manager of Upnow Marketing Manager of Upnow
Mike Torello
Marketing Manager of Upnow Marketing Manager of Upnow
Sarah Chen
Marketing Manager of Upnow Marketing Manager of Upnow
David Kumar
Marketing Manager of Upnow Marketing Manager of Upnow
Emma Wilson
Marketing Manager of Upnow Marketing Manager of Upnow
Past Associations
- IIM Lucknow
- IIT Bombay
- Madras School of Economics
- Standard Chartered Bank
- Credit Suisse
- PhonePe
- MANIT Bhopal
- Qatar Development Bank
Our Focus Is Clear
We Build Systems Designed For Consistency And Resilience. If You're Looking For Shortcuts, We're Not For You.
Deliver long-term, risk-adjusted returns
Actively manage downside risk
Maintain discipline during volatility
Our Quantitative Framework
Built for resilience across evolving markets, beyond historical performance.
Financial markets generate vast amounts of data daily. We transform that data into structured insights.
Our Approach Integrates:
Machine Learning models- Time-series analysis
- Statistical inference
- Diversification and advanced risk management frameworks
We operate across highly liquid asset classes, identifying repeatable market inefficiencies.
Every Strategy Undergoes:
- Multi-year historical backtesting
- Stress testing across extreme market conditions
- Monte Carlo simulations
- Walk-forward optimization
Limited Availability
Serious Investing Deserves Clarity
Have Questions Before You Proceed?
