Why we Invested in Maximize Money

Β We are excited to lead the seed round ofMaximize Money, partnering with Shiva and Siddhanth as they build India'suniversal savings and loyalty infrastructure.
India's consumption story is approaching aninflection point. As GDP per capita climbs toward the $3.5-4k range, a new waveof retail aspiration is taking shape. Underpenetrated markets are comingonline, and billions in value will begin to flow between digital buyers and thebrands eager to serve them.

But, India's shoppers have alwaystreated savings like a sport.

The trouble is the hunt itself. Coupon sites, gift-card stores, scratch-card cash-backs, and card-specific perks all live in separate apps or worse, hidden screens at checkout. Consumers toggle, copy, paste, pray. Merchants watch north of βΉ35billion in gift-card and affiliate sales trickle through a tangle of pipes. One for coupons, another for bank offers, and then some for closed-loop wallets. None of these pipes connect, so data breaks and users bounce mid-checkout. Meanwhile UPI now carries 80% of India's digital payments yet captures barely10% of rewards traffic, because its near-zero fees leave no margin to fund old-school cashbacks.
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Value still flows, but it's stuck in thewrong channels. That fragmentation is both pain andopportunity. We believe the moment is ripe for a single, horizontal savingslayer that automates the stack and lets value-hungry customers win every time.
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That conviction led us to partner withMaximize Money in its seed round.
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Unlocking the Consumer Savings Layer
Maximize's SaveMax engine lives directlyinside checkout. It sweeps live coupons, buys discounted gift cards on the fly,weighs real-time card or UPI incentives, and even checks whether loyalty pointswould yield a bigger delta. All before surfacing one "Best Price" inthree taps. A βΉ5,000 pair of shoes becomes βΉ3,900 once a brand coupon, a bankoffer, a gift-card spread, and affiliate cashback are stacked together, withthe user lifting a finger only once.
Early usage validates the pull: Maximizehas crossed 150,000+ users who have transacted for more than βΉ160 Cr with1,000+ brands live, powered entirely by word-of-mouth across web andmobile. Just as important, the business model earns a healthy blended take-ratefrom gift-card spread, affiliate commissions, and high-margin loyaltyredemptions, translating savings for users into durable gross margin for theplatform.
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Building India's First Mass LoyaltyCurrency
Saving money is only half the game. Theother half is what shoppers earn back, and here the system is just as broken.Indians collect points they cannot use or never earn at all. Value sitsscattered across bank and card programs, merchant wallets, and travel schemes,each locked behind its own walls. Points expire, devalue, or refuse to move.And the richest rewards, the airline miles and hotel nights that actuallychange how you travel, stay reserved for the top 1% who hold premium creditcards.
Maximize's answer is MaxCoins, a singleloyalty currency that behaves the way money should. Every coupon, gift card,affiliate purchase, and payment earns MaxCoins at the moment of checkout,across 100,000+ merchants and fully compatible with UPI, debit, and prepaid. Nopremium card required. One MaxCoin is worth at least one rupee, and far morewhen it moves.
MaxCoins transfer into airline and hotelprograms at scale. 50,000 MaxCoins become 50,000 Qatar Avios, which book aDelhi to Sydney business-class seat worth βΉ2.5 lakh. A multiplier of roughly5x, unlocked by the same award-chart arbitrage that frequent-flyer obsessiveshave quietly exploited for years. The economics work because empty seats andunsold rooms cost airlines and hotels almost nothing. Occupancy is never 100%,so partners turn idle inventory into real demand while users turn smalleveryday savings into outsized value. The earliest transfer partners alreadyspan IndiGo, Air India, Accor, ITC Hotels, and Marriott Bonvoy.
The strategic point is bigger than any single redemption. Savings make a user transact once. A currency makes them come back. By converting scattered discounts into Max Coins that can be earned, saved, spent, and redeemed in a single loop, Maximize moves from a checkout tool to a loyalty network with its own interoperable value. Retention compounds, redemptions carry the highest margin in the stack, and the currency itself becomes the moat.
It is not a hypothetical. Rakuten pairedwith Amex Membership Rewards drives over $1B in annu al GMV. HeyMax built $100Min GMV simply by replacing cashback with miles. Both scaled from under 100,000users. Maximize already sits past 1.5x that base, and it is bringingairline-grade rewards economics to the payment rail a billion Indians use everyday.
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Built by Rewards Natives
Co-founders Shiva Mehta (ex-Twid,PineLabs) and Siddhanth Jaini (ex-Mastercard, Razorpay) have spent adecade deep in payments rails, merchant integrations, and loyalty economics.Theyβve negotiated thousands of merchant links, scaled loyalty programs tonational reach, and personally own 28+ credit cards and hacked their way to40-plus countries on points - exactly the kind of obsession this space demands.
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Partnering for India's Value-First Decade
India is entering its biggest consumption wave yet, but the national psyche around "paise ki kadar" won't fade; it will compound. As affiliate, gift-card, and loyalty GMV race toward projected doubles by FY-29, a horizontal savings and loyalty OS becomes inevitable.
Maximize Money is positioned to be that operating system. Abstracting complexity for shoppers, unlocking incremental conversions for merchants, and finally bringing rewards to the rail a billion people use every day.
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We're proud to back Shiva, Siddhanth,and the entire Maximize team as they turn scattered discounts into a single,effortless click, and scattered points into a currency that finally moves,redefining what value means for the Indian consumers.
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