Sahaya — सहाय

Money, finally understood.

Financial services has been built on products, then transactions. The next era is built on conversations — and actions taken on your behalf. Sahaya is the first app for the age of AI in Indian personal finance.

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UPI× Account Aggregator× Multi-Agent AI× Financial Intelligence× India Stack× Conversations → Actions× UPI× Account Aggregator× Multi-Agent AI× Financial Intelligence× India Stack× Conversations → Actions×

Where does moat exist in the age of AI?

Big Tech will own general-purpose AI — just as they own social and search today. The question isn't how to compete with Claude or ChatGPT. It's where to play that they can't.

01

Big Tech takes general AI

Claude, ChatGPT, Gemini become the default general-purpose intelligence layer. Indians adopt them for everything non-regulated. That's fine — it's not our game.

02

Regulated verticals are open

Financial services is deeply regulated. It requires trust, compliance, and local context. Global big tech won't go here. This is the white space.

03

Consumer AI subscriptions emerge

India is ready to pay for software that demonstrably helps them get ahead financially. A $1/month product for financial intelligence is a real category.

04

Data is the durable moat

Every conversation on Sahaya is a learning event. User memory, stated preferences, revealed behaviour — compounded across millions of users — becomes a moat that's structural, not feature-based.

Financial services has always been about relationships.

Three eras. Three relationship primitives. The third is just beginning.

FS 1.0 — Products

The Branch Era

Relationships built by product ownership. You opened an account with HDFC Bank. The branch manager knew your name. Loyalty was physical and sticky.

FS 2.0 — Transactions

The App Era

Relationships built through usage. PhonePe, GPay, CRED — apps that knew you through what you paid for. Engagement through the transaction feed.

FS 3.0 — Conversations

The Intelligence Era

Relationships built through understanding. An app that knows your goals, fears, and financial reality — not just your last payment. This is where we build.

Two phases. One direction — trust.

We build trust before we take action. That's the order of operations. Most fintech gets this backwards.

Phase One

Conversations about money

The simplest and most underserved thing in Indian personal finance: an app where you can talk about money. Not do a transaction. Not check a balance. Just talk — and be understood.

Every conversation builds user memory. Sahaya learns your income anxiety, your risk appetite, your savings discipline, your aspirations. The app becomes genuinely useful before it asks for any trust.

PMF Test
Phase Two

Actions taken on your behalf

Once trust is earned, the app stops being a conversation tool and starts being an agent. It executes trades, buys insurance, books travel, structures informal loans — all based on what it has learned about you.

Agentic action is always opt-in, always transparent, and always reversible. The threshold to act is high. The benefit of crossing it is enormous.

Agentic Layer
The app isn't useful if you don't have a transaction to do — that's the problem with every app in this space today.
Core Insight → Sahaya

Specialized agents. One coherent voice.

Under the hood, Sahaya runs a constellation of expert agents — each a specialist in its domain. The user only ever talks to one surface: their intelligent financial companion.

Powered by India Stack — Account Aggregator for financial data, UPI for transaction rails, brokerage APIs for portfolio context. All consented. All real-time.

The architecture is user-memory-first. Stated preferences and revealed behaviour combine to drive relevance. Context is never lost.

📈

Investments

Portfolio strategy, SIPs, goal-based allocation

🏦

Credit

Loan eligibility, EMI planning, credit score advice

🧾

Tax

Year-round planning, ITR prep, deduction discovery

✈️

Life Goals

Vacation budgeting, milestone saving, big purchases

🤝

Informal Finance

Chit funds, family loans, peer lending

🛡️

Insurance

Coverage gaps, renewals, claim readiness

🏥

Healthcare

Health emergency funds, policy matching

🔮

More

Domain expands as user trust deepens

KYC is not a form. It's a conversation.

10
conversations to know a user better than their bank ever did

Traditional KYC is a compliance exercise. A government ID, a selfie, a proof of address. It tells you who the person is legally — nothing about who they are financially or emotionally.

App X reimagines KYC as a continuous learning process. Every message is a signal. Every hesitation, every aspiration, every worry — it all compounds into a financial portrait that is genuinely useful.

What we learn

  • Income stability and cash flow patterns
  • Risk tolerance (stated vs revealed)
  • Savings behaviour and discipline
  • Financial anxieties and blockers
  • Life stage and milestone proximity
  • Household financial complexity
  • Trust threshold for automated action
  • Preferred communication style

Simple price. Compounding value.

The subscription model for consumer AI in India is an unsaid opportunity. Consumers paying directly for software is a new and real behaviour — we want to be one of the first to prove it works in fintech.

₹99
Per month

Priced for mass India. Lower than a cup of coffee. High enough to signal real utility. The subscription unlocks full memory and agent access.

Conversations

No limits on usage. The more the user talks, the smarter the app gets. Our incentives are perfectly aligned with theirs.

+
Agent Revenue

When agents execute — trades, insurance purchases, loan applications — there is commission. This grows as trust deepens. Conversations are the top of funnel.

In the domain of financial services, this is a general purpose intelligence. It can do anything you want.
The Sahaya Vision