The smartest way to spend your credit cards.
CardAssist Online tells you which card to swipe for every transaction — factoring in caps, milestones, and AI insights. Built for India’s top cards: HDFC, Axis, ICICI, SBI, Amex.
Built like a fintech-grade rewards brain.
We model your real reward structures — caps, milestones, accelerators, exclusions — and recommend the right card with full reasoning.
Best card every time
Real-time recommendations based on merchant, category, caps, and milestones.
Reward leakage detection
Catch missed rewards and learn where you’re losing value each month.
Milestone tracker
Know exactly how close you are to bonus points, vouchers, and tier upgrades.
Chrome extension
See the best card right inside Amazon, Flipkart, Swiggy, MMT — before you pay.
Deep analytics
Spend by category, rewards trends, cashback vs miles — all in one view.
AI assistant
“Which card for insurance?” “Am I wasting rewards?” — get instant answers.
Three steps to a smarter wallet.
Add your cards
Pick from a pre-loaded library of Indian credit cards.
Log spends
Manually or via the Chrome extension — we handle the math.
Maximize rewards
Get smarter every month with insights, alerts, and milestone nudges.
Trusted by people who actually maximize their cards.
CardAssist Online is the only India-first reward engine that explains exactly why a card is recommended, every single time.
Deterministic math, not guesses
We model every rule, cap, and milestone exactly as the issuer does — no AI hallucinations, no inflated estimates.
India-first card catalog
Curated for HDFC, Axis, ICICI, SBI, Amex, IndusInd and more — with portal accelerators, tiers, and observed routing intelligence.
Privacy by design
We never store card numbers. Your transactions live in your own account and can be deleted at any time.
Built by Indian power users
Every routing hint and DSL rule is curated by people who actually swipe — not a black-box algorithm.
Add your cards in 2 minutes. Earn more by next month.
Free during beta. No card numbers needed. Set up takes less than 120 seconds.