Smart
Auto Triggers
AI with rules-based logic boosts XIRR by +2% (up to 6.75%) by auto-deploying 30% more capital over 3 years. It moves with the market, investing when it matters.
Time-Tested Performance
Scientifically tested across 15 years of historical data, using rolling windows to account for different market conditions. The system is future-proof with no overfitting or bias.
AI-Driven
Wealth Engine
The platform analyzes market conditions in real-time and auto-adjusts your SIP. No guesswork, just smarter timing that aligns with long-term growth opportunities.
Versioned to Outperform
This is just the beginning. Our expert team is continuously evolving SafeSmartSIP’s capabilities, adding more flexibility, variations, and better results.
Engineered for
Higher Returns
SIP investments are great, and are considered one of the best vehicles for long term investing. However there is missed juice because in a long enough time horizon there are opportunities as the economy rarely follows a straight line. So everyone should ask the question: Why not get that extra juice?
This engine is developed with the aim to maintain the discipline and stability of SIPs, while not leaving the free juice behind.


Results
How Does
It Work
Safesmartsip introduces a rules-based, AI-powered overlay to traditional SIPs. By identifying periods of relative undervaluation, the system automatically allocates additional capital—up to 30%, during market slowdowns, enhancing accumulation without altering the underlying portfolio structure.
The model is rigorously backtested using a rolling-window methodology across 18 years of historical data and hundreds of mutual fund schemes. This ensures consistent performance, avoids overfitting, and provides a scalable, evidence-based approach to improving long-term SIP outcomes.
Team
Tushar Gerg
(Founder)
Applied AI expert, 13+ years of engineering, analytics, product management experience.
Amrit
(Developer)
AI expert with an interest in LLMs and financial markets
Amarildo
(Advisor)
PhD in Math and Applied AI, developed similar strategies for the Italian fixed income markets.