Forbes reported @maximor_ai today: 35x revenue growth in 9 months, on seed alone. I get asked weekly if finance is the next big AI category after coding and legal. Yes, just later than the other two, but it’s here now. Finance was always going to be AI's last holdout, and rightly so. Who wants their finance person to be anything but a skeptic? Highest stakes, lowest tolerance for a wrong number. So when AI lands here, in production, something real has changed. Here's what changed: when the cost of producing a number goes to zero, you don't do less finance. You do the finance that was never possible before. Every entity closed daily. Every margin live. Every decision scored against what actually happened, not a stale export. This is what @maximor_ai is building, and we're calling it autonomous finance. The question stops being "can we build it" and becomes "where do we point it, and what did it return". Every finance person just got 100x more important. It's here, it's in production, 25+ customers including public companies. Proud to be driving this from the front!

Asking for a friend: if you sold your product to a startup that got acquired by the smallest subsidiary of a public company - does this still qualify for you to say you have public company customer? 🤣🤣 #iykyk

Thanks for featuring us @CFOBrew 🫡

Thank you for the shoutout! @HyphenateAI

Maximor is now Hyphenate. Same team, new name, bigger vision!

Geez! This compiler framing for the application layer is spot on. Break the human objective down, buy the cheapest sufficient intelligence for each piece, put it back together. What I'd add to @JayaGup10’s piece: there are two judgments in that loop, not one. Judging how to route the work. And judging how to actually do it. The second one is domain judgment, and no model provider sells for our domain : finance. Example - Recognizing revenue on a contract isn't just applying ASC 606. It depends on business context: the side letter sales negotiated, that this customer always pushes for acceptance clauses, that implementation hasn't gone live yet. None of that is in the contract. It accrues in the team over years - which is why it's called tribal knowledge, and why G&A bloats: running finance means keeping around every person whose head an answer lives in. Our bet at @maximor_ai: that judgment isn't lost. It's reconstructable from the company's own record of past decisions. We rebuild it into a domain judgment layer, then package it with routing and escalation into an application layer that owns the end to end outcome. Mind you - an outcome a public company CFO personally signs their name to.

Finance is coming soon… @maximor_ai

Infectious enthusiasm. That’s it.

This is Maximor. Autonomous finance.

Every CFO I talk to is quietly terrified of handing finance to AI and losing control.   But autonomous finance gives you more control, not less. @maximor_ai learns how your team already works, does the busywork, escalates what it's unsure of, and keeps every number traceable.   We made a film about it (and a support group).

Enterprise: let’s Claude code our way to it Also enterprise: let’s look for someone with 10+ years of Claude code experience 🤣

Great piece that captures a key ingredient to win - obsession. A team spending every waking moment of their day obsessing about the problem they’re tacking coupled with survival instinct, isn’t something a fat model upgrade(s) can replicate. Further unstoppable when the ecosystem comes together. Ours is the future of finance in capitalism