Published on: September 2, 2026
Six agents. One infrastructure. Every additional one is a formality.
Getting a bank to say yes once takes six months of review. Getting them to say yes five more times takes almost none.
Ask most enterprise software companies about their hardest sale, and they’ll point to the first one. Ask Markytics.AI the same question, and they’ll give you the same answer — for a different reason. Clear a bank or NBFC through security review, data-residency checks, and a production pilot once, and the second sale stops being a sale at all. It becomes a customer asking what else is on offer.
That pattern — hard to get in, easy to expand once you’re in — is quietly becoming the company’s actual growth engine, and it’s showing up in a metric that matters more to a business than almost any other: how much more its existing customers spend over time.
Six years in the making
That expansion motion isn’t an accident of good timing — it’s the payoff of a decision made years before any of these deals closed. Markytics.AI has spent more than six years building specifically for banks and enterprise, not retrofitting a generic product after the fact. That’s an unusually long runway for a product build in AI, where most companies are shipping a first version within months of founding.
That time shows up as depth, not just polish. A long list of features most competitors haven’t started building yet already exists inside the platform — not as a roadmap slide, but as functionality a customer can turn on the moment they ask for it. It’s a big part of why an expansion conversation with an existing customer takes weeks instead of months: the feature they’re asking for usually already exists.
A product built to be bought more than once
Markytics.AI doesn’t sell a single tool. It sells a platform with agents for collections, cross-sell, audit, service, credit, and relationship management — all running on infrastructure a customer only has to clear once. That architecture wasn’t just a technical decision. It’s the product’s entire sales pitch after the first contract is signed.
A bank that onboards Markytics.AI for collections isn’t just buying a collections tool. It’s buying access to five other agents that no longer need a fresh security review, a fresh data-residency check, or a fresh procurement cycle — because the infrastructure underneath all of them already cleared that bar once. Turning on cross-sell or audit for an existing customer looks less like a new sale and more like flipping a switch.
Sales that gets easier, not harder, over time
Most enterprise sales motions get harder as a deal ages — more stakeholders, more scrutiny, more competing priorities. Markytics.AI’s sales motion runs in the opposite direction once a customer is live.
“Our hardest conversation is always the first one,” said Hitesh Solanki, Chief Business Officer at Markytics.AI. “Every conversation after that is the customer asking what else we can turn on. We’re not pitching a stranger anymore — we’re expanding a relationship where the trust question is already answered.”
That shift matters commercially in a way that’s easy to underestimate. A new-logo sale in regulated BFSI can take six to twelve months. An expansion sale inside an existing account — same infrastructure, same compliance approval, a different agent — can take weeks. Markytics.AI’s growth increasingly leans on the second kind of sale, not the first.
Banks, enterprise, and government: three different doors, one product
The land-and-expand motion plays out differently depending on who’s on the other side of the table, and Markytics.AI’s go-to-market treats the three differently on purpose.
Banks are where the pattern is cleanest. Once a bank’s technology and compliance teams clear the platform, expansion inside that account tends to move fastest — the internal stakeholders who signed off on the first agent are usually the same ones who can approve the next one, so a second or third agent can go live in weeks.
Enterprise accounts — large Enterprise and other regulated institutions — are where expansion tends to be most valuable per account. These are organizations with enough scale and enough distinct functions (collections, credit, service, relationship management) that a single account can eventually run most of the agent roster, making them the highest lifetime-value relationships in the book.
Government is the hardest door to open and, once open, the highest-volume relationship in the portfolio. Government procurement runs through more approval layers than commercial BFSI, and it can take longer than either bank or enterprise sales cycles to close. But government deployments are now handling more than a million calls a month on their own — and because government work spans multiple departments and agencies rather than a single buying center, a cleared relationship with one department often becomes the reference case that opens the next one.
The operational discipline behind the expansion
None of that works without an operating model built to support it. Onboarding a new institution and expanding inside an existing one are very different operational problems, and Markytics.AI has deliberately built for both without letting either slow the other down.
“Every institution we onboard takes less operational effort than the last one, because we’re not starting from zero each time — we’re expanding something that already works,” said Aman Kaushik, Chief Operating Officer at Markytics.AI. “That’s what lets us grow inside our existing accounts and bring on new ones at the same time, without the team tripling to keep up.”
That operational leverage is showing up in the top line. Markytics.AI is currently at $1.5 million in annual recurring revenue, tracking toward $3 million in the near term — and a meaningful share of that growth is coming from existing customers buying additional agents, not solely from new institutions signing on for the first time. For a company selling into a market where new-logo sales cycles are long, that’s the difference between growth that’s linear and growth that compounds.
Why this matters more than the top-line number
A revenue number on its own is just a number. A revenue number where a growing share comes from customers spending more after they’ve already bought is a different signal entirely — it says the product works well enough, and is trusted enough, that the people already using it want more of it. That’s a harder thing to manufacture than a new-logo pipeline, and it’s usually the number that separates companies with real product-market fit from companies with a good sales team.
“Six years ago we made a call most investors would have called reckless: build for the hardest customer in India before building for the easiest one,” said Mohit Kokil, founder of Markytics.AI. “It’s why we have the feature depth we have today — and why anyone starting this build now is six years behind before they’ve had their first sales call.”
What’s next
The near-term focus is on tightening that loop further: shortening the time between a new institution going live and its first expansion conversation, and giving the sales and customer success teams better visibility into which accounts are ready for the next agent before the customer has to ask. The bet across product, sales, and operations is the same one: the fastest way to grow isn’t just finding new institutions — it’s making sure none of the ones already inside the platform have a reason to stop at one.
More on how Markytics.AI is approaching this can be found at markytics.com.
