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Ajay Krishna Amudan

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@ajkrish95

Founder, CTO @Maximor_AI, Prev @Microsoft @Stanford @IITMadras, Math Olympian and Competitive Programmer in another lifetime ( IMO 2011, 12 & ACM ICPC WF 2015 )
New York, NY maximor.ai Joined April 2014
1.8K Following 621 Followers 136 Posts

Latest posts 5

Ajay Krishna Amudan Verified account @ajkrish95
Well said - @RajaswaPatil - you’ve been a partner in crime from Day-0 here!

Lots more to achieve - we’re only just scratching the surface. If you want to work with a team that obsesses about building the greatest company in the world with the most passionate and compassionate people - come join us!
Rajaswa Patil Verified account @RajaswaPatil Oct 4
Late last month we got to take a team photo under the @HyphenateAI logo on the @Nasdaq tower 🧡

Our first NYC office was a WeWork in that tall tower on the right. On its first day, the whole office was me and our first US intern, who had shown up at my hotel the day before.

13 months ago, @ajkrish95 asked me to fly from India to NYC to help set up our first in-person team here. First time in the US. I landed with one small suitcase, and the airline lost it. The founders were out of town for the week.

New York does overwhelm you when you're new and alone!

So, I just kept working from my hotel rooftop for two days. On day 3 that intern showed up and we got lunch at the Chipotle nearby. On day 4 we had an office.

A week later another intern joined in-office. For weeks it was just the two founders, me and a couple of interns in one room. You could hear @ramkris selling the exact features we were building at the next desk. You could hear @ajkrish95 pitching candidates on the vision we were still building.

Since then we've outgrown two office spaces and built a team across Engineering & GTM that keeps growing, and has evidently been doing great work. We hosted an insanely talented intern cohort this summer, and a lot of them stayed on and own way bigger pieces now. We've also added many excellent senior engineers.

Yes, for the curious capital and potential customer budgets out there, maybe the first metric that catches the eye is the 87x revenue growth.

But from an insider's pov, as someone who was here on day 0 in NYC, the size (and monotonically increasing quality) of the team and the office is another way to see that growth.

Something I will always cherish. ❤️
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Ajay Krishna Amudan Verified account @ajkrish95
Maximor is now @HyphenateAI!
Hyphenate Verified account @HyphenateAI Oct 1
We set out to build a new category: autonomous finance. Now we have a name that fits where we’re going.

Maximor is now Hyphenate.

A hyphen connects and modifies. Hyphenate connects the systems you already use through a shared context that understands your policies. It modifies how finance runs: agents take on routine work, keep an audit trail, and bring exceptions to the right person. They learn from those decisions over time, giving finance teams less grunt work and more time for analysis and strategy.

New name and look. Same company, team, and platform.

Meet Hyphenate: hyphenate.ai/?utm_source=x&…
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Ajay Krishna Amudan Verified account @ajkrish95
Really like this framing @JayaGup10. And thank you for the shoutout to @maximor_ai!

One nuance I’d add from what we’re seeing at @maximor_ai is that these two things can be true at the same time.

For a lot of enterprise work, @JayaGup10 is right that there is an intelligence threshold. Once you’ve solved the same class of problem enough times, more of that judgment should get encoded into policies, checks and deterministic workflows instead of being re-reasoned from scratch every time.

But in accounting, we’re still hill-climbing on capability itself.

There is a huge amount of genuinely hard work left: understanding non-standard contracts, reconstructing judgment from years of workpapers, reasoning across multiple systems, handling exceptions across entities and currencies, and getting to an answer that a controller, CFO and ultimately an auditor are willing to trust.

We still benefit enormously every time frontier models get better.

That is Arc 1 for us: get increasingly complex accounting work right.

The part I find interesting is that we’re already starting to see the next thing, even while there’s still a lot of Arc 1 left to solve.

Take a usage-based software company. To account for revenue correctly, @maximor_ai may need to understand the contract a salesperson negotiated, the committed usage tier, actual product consumption, the invoices that went out, collections, and what ultimately hit the financial statements.

Once you understand that whole chain, you can ask a much more valuable question than “what revenue should we recognize?”

You can see that customers are consistently being sold the wrong consumption tier, that actual usage is diverging from what was contracted, and that the pricing or packaging decision itself is producing a worse financial outcome.

That recommendation only becomes possible because you did the accounting work deeply enough to understand how the business actually behaves.

That’s the second arc for me.

Arc 1 is making increasingly complex accounting work autonomous.

Arc 2 is using the understanding you get from doing that work to help the business make better decisions in the first place.
Jaya Gupta Verified account @JayaGup10 Aug 19
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