SaveSage Steals the Spotlight on Shark Tank India Season 5 with Strategic AI-Powered Fintech Pitch

SaveSage Steals the Spotlight on Shark Tank India Season 5 with Strategic AI-Powered Fintech Pitch

Three points you will get to know in this article:

1. SaveSage uses AI to help users maximize credit card rewards and loyalty points by recommending the best card for every transaction.
2. As of late 2025, the platform has over 200,000 active users and an annual revenue run rate of approximately $1.1 million (~₹9 crore).
3. Founder Ashish Lath secured a multi-Shark deal of ₹4 crore for approximately 9% equity after demonstrating massive personal savings through the platform.

SaveSage on Shark Tank India Season 5 Presents AI-Powered Fintech Pitch

SaveSage, an AI-driven personal finance platform, captivated the Sharks on Shark Tank India Season 5 with a fascinating demonstration of technology tackling practical financial issues. In addition to demonstrating excellent growth, the business—which was founded on the challenging but sometimes disregarded issue of credit card reward optimization—secured a sizable funding deal, indicating fintech’s increasing significance in India’s startup scene.

About SaveSage

SaveSage logo

Ashish Lath, a Gurugram-based fintech entrepreneur with first-hand knowledge of credit card optimization and personal finance management, established SaveSage. By suggesting which card to use for each transaction and how to redeem rewards for optimal value, the platform employs artificial intelligence to assist customers in more efficiently tracking and managing their credit cards and loyalty reward points.

During his pitch, Ashish presented striking personal outcomes, such as 430 complimentary flights, 100 hotel stays, and ₹15 lakh worth of jewelry acquired mostly through optimal point usage. These figures captivated the Sharks and effectively demonstrated SaveSage’s value proposition.

 

Checkout the company website here: SaveSage

How SaveSage Works?

SaveSage addresses a surprisingly prevalent issue: despite the fact that millions of credit cards are used in India, hundreds of millions of reward points are either underutilized or unredeemed because of incomplete data and a lack of resources. The platform analyzes spending trends, compiles information from several credit cards and loyalty programs, and applies AI to:

  • Recommend the best credit card for a given transaction
  • Track accumulated reward points across cards
  • Suggest high-value redemption options such as travel, vouchers, or partner deals
  • Help users unlock benefits like lounge access and insurance perks

 

With more than 750 supported credit cards and more than 75 loyalty ecosystems, including reward networks for travel and lifestyle, SaveSage simplifies a procedure that many cardholders find unclear and complex.

When combined with actionable insight, this degree of automation allows regular consumers to get significantly more value out of their daily purchases than is usually realized.

Financials of SaveSage

Understanding a startup’s financials is crucial to evaluate both performance and future prospects. While SaveSage is still early in its lifecycle, there are several key indicators of its financial footprint:

Company Structure & Background

Incorporated: October 2023

Type: Private, unlisted Indian company

Registered in: Gurgaon, Haryana

Funding and Valuation

Pre-Seed Funding: Raised $1 million (~₹8 crore) via a mix of equity and debt in late 2025, led by marquee investors including DSP Family Office, iSeed, Atrium Ventures, and others.

Revenue and User Metrics

User Base: Over 200,000 active users as of late 2025, with forecasts targeting 1 million users by March 2026.

Annual Revenue Run Rate: Estimated at $1.1 million (~₹9 crore) as of September 2025, demonstrating strong early monetisation.

Market Relevance

The platform’s premium features and subscription model position it in a monetizable segment of the consumer finance market, with a clear pathway toward revenue scaling as credit card adoption and consumer financial sophistication grow in India.

The Shark Tank Pitch of SaveSage

In Shark Tank India Season 5 Episode 2, Ashish Lath, the founder of SaveSage, entered the Tank without using complicated banking lingo. Rather, he began by sharing a moving personal tale that captivated the Sharks right away.

He disclosed that by cleverly utilizing credit card reward programs, he was able to obtain more than 430 complimentary flights, more than 100 stays at upscale hotels, and jewelry valued at around ₹15 lakh—all without having to spend additional money—just by making the most of reward points and advantages. Because it turned an abstract idea like “reward optimisation” into something aspirational and concrete, this emotional beginning immediately made the Sharks lean in.

The Core Problem He Highlighted

Ashish explained that:

  • India has crores of credit card users, but
  • More than 70% of them either don’t redeem their reward points or redeem them at very poor value, and
  • Most users have multiple cards, each with different reward rules, categories, caps, and expiry dates, making optimisation nearly impossible for an average person.

In short:

People are earning value, but leaving money on the table due to confusion and lack of tools.

He made a confident ask:

₹4 crore for 6–7% equity (valuation in the ₹55–65 crore range approx.)

Shark Reactions & Interrogation

Anupam Mittal questioned defensibility and asked what would stop banks from building the same feature.

Ashish replied that SaveSage is card-agnostic and bank-neutral, offering unbiased optimisation across all issuers—something banks cannot do due to conflict of interest.

Kunal Bahl focused on scale and retention, probing whether users would check the app before every purchase.

Ashish demonstrated usage patterns and AI-based nudges that integrate into daily spending behaviour.

Namita Thapar explored trust and data security, to which Ashish explained their encryption standards, read-only access, and compliance-first architecture.

Aman Gupta / Peyush / other Sharks discussed whether this is a “nice-to-have” or a “must-have” product.

Ashish countered by showing how real money saved and travel unlocked converts it from convenience to necessity for frequent spenders.

Negotiation & Deal Formation

After intense back-and-forth, multiple Sharks saw:

  • Strong founder credibility
  • Clear product-market fit
  • Recurring revenue potential
  • A sticky user habit once rewards start compounding

 

This led to a multi-Shark joint offer, eventually closing at approximately:

₹4 crore for around 9% equity

What’s Next for SaveSage

SaveSage is positioned to drive expansion on multiple fronts thanks to new funding, domain-expert Sharks, and early market traction.

  • Improving the AI engine to deliver even more personalized recommendations
  • Expanding partnerships with banks and loyalty networks
  • Increasing user acquisition to reach broader segments of credit card users
  • Driving deeper financial literacy around rewards optimisation

 

Beyond only saving consumers money, the team’s goal is to establish SaveSage as the preferred personal financial optimization platform for all Indian credit card holders.

In addition to having a strong pitch, SaveSage’s Shark Tank India moment focused on identifying a genuine customer problem and providing workable, technologically advanced solutions. With the support of seasoned investors and strong early results, the firm has turned ordinary credit card points into an engaging story about AI-powered financial emancipation in India.

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