Hyphenate

The autonomous finance platform, formerly Maximor. Runs on top of your ERP and systems, learns from existing workflows, and puts agents to work. Sprint ahead.

[Hyphenate @HyphenateAI]

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: https://t.co/jPSLVYTRkg

[Hyphenate @HyphenateAI]

Finance teams spend too much time holding disconnected systems together, chasing data, translating policies, and moving work forward manually.

We partnered with @CFOBrew to explore how autonomous finance executes entire workflows across existing systems, giving teams more time for strategic judgment, with human oversight and an auditable record of every action.

Read the article here: https://t.co/l0DnqZGXAI

[Hyphenate @HyphenateAI]

@cjgustafson Thank you for the partnership 🫡

[Hyphenate @HyphenateAI]

New look. Big moment. Same team spirit.

Last week, we launched Maximor's rebrand to Hyphenate and celebrated together in front of the Nasdaq billboard.

Here's to the next chapter.

[Ramnandan Krishnamurthy @ramkris]

This is Maximor. Autonomous finance.

[Hyphenate @HyphenateAI]

We’re just getting started!

[Ramnandan Krishnamurthy @ramkris]

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!

[Ramnandan Krishnamurthy @ramkris]

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!

[Ramnandan Krishnamurthy @ramkris]

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

[Ramnandan Krishnamurthy @ramkris]

hard AGREE - this is the future of enterprise! And that brings with it the need to then re-invent how ROI of decisions across both human & token capital are measured.

The CFO will play a key role in defining the loss function of this company-wide self-learning AI layer.

Corporate finance will need to be completely re-invented though. We are doing it! @maximor_ai

PS. Kudos to @JayaGup10 for calling this early with her context graph series 🤝

[Hyphenate @HyphenateAI]

RT @ajkrish95: Great read!!

CFOs are increasingly becoming the single most important person in enterprises. And @maximor_ai being the Clea…

[Ramnandan Krishnamurthy @ramkris]

Uff.. another banger! Here's another macro shift happening:

If intelligence is a priced resource, then the CFO becomes the most important person at the company – the one allocating spend & analyzing ROI across the only 4 inputs that matter:
customers, employees, vendors, and now.. tokens.

That allocation problem is unsolved. We've already figured it out for all of finance.

For 20 years IT/engineering decided what companies bought. AI hands that power to the CFO.
It's the CFO's turn to take it. We're arming them. @maximor_ai 🫡

[Ramnandan Krishnamurthy @ramkris]

Day 1 at Gartner Finance Symposium cooked!🔥One question kept coming up:

"We've got people building agents in Claude, Vertex, Codex – how do we govern all of this?"

The worry is real. Finance teams are vibecoding fast with DIY agents, but nobody has an answer for what happens when you have hundreds running with no audit trail, no policy layer, and no way to know if they're still doing the right thing when your processes change next quarter.

And even if you get an agent working today, it's trained on a snapshot of right now. Transaction patterns shift. Policies update. New subs come in. If the agent can't learn and adapt with you, you're just building technical debt with better branding.

This is what we built @maximor_ai to solve – agents that don't just automate a frozen process, but continuously learn from your team's judgment and evolve as your business does. One policy layer. Full audit trail. Human in the loop for the exceptions.

Best part of today – these weren't 2-minute booth drive-bys. CFOs and controllers pulling up chairs, going deep on AI strategy, and at one point I'm explaining how context graphs differ from knowledge graphs. At a finance conference. Who would have expected!! (h/t @JayaGup10 🫡)

If you're at the Gartner Xpo tomorrow, come find us at Booth 109!

[Jaya Gupta @JayaGup10]

Huge congrats to @ramkris from Maximor on two stellar CFO conferences this week. Very few people are so technically deep in AI and context engineering along with prior exposure to the messy world of enterprise transformations. 🚀🚀🚀

[Avinash Raghava 🇮🇳 @avinashraghava]

#31: #AIRadarDaily — @maximor_ai

Companies pour millions into enterprise ERP systems, expecting a complete digital transformation.

Yet, at the end of every month, finance teams are still trapped in a mess of manual processes. They spend nights and weekends pulling data from fragmented systems, reconciling accounts, parsing contracts, and fighting fires in massive spreadsheets.

ERP migrations promised to fix this, but they usually just move the bottleneck. Finance leaders don't want another disruptive software migration; they want the busywork to disappear.

Maximor AI is building the always-on finance team to handle the grind.

Founded by Ramnandan Krishnamurthy and Ajay Krishna Amudan, Maximor is an AI-native finance automation platform built for the strategic CFO.

The brilliance of Maximor is that it doesn't force companies to rip and replace their existing tech stack. Instead, their proprietary "Audit-Ready Agents" plug directly into the tools a company already uses — ERPs, CRMs, payroll, and banking systems.

These specialized AI agents act as a tireless back-office team. They handle the heavy lifting: reconciling global cash positions, preparing journal entries, allocating revenue across complex contracts, and running flux analysis. Crucially, they don't just output raw numbers; they generate fully traceable, audit-ready evidence by default. The human finance team simply reviews the exceptions.

The market? Any mid-market or enterprise company struggling with the realities of the accounting industry: a shrinking CPA pipeline, exploding financial complexity, and multi-entity operations.

Ramnandan and Ajay spent years leading global digital transformation projects at Microsoft. They saw firsthand how critical workflows were constantly forced back into manual spreadsheets despite massive IT budgets. They realized that finance doesn't need another generic SaaS tool; it needs an intelligent action layer that does the work for you.

They are building the infrastructure that lets finance leaders stop firefighting and start actually guiding the business.

Let's celebrate the builders.

w/ Jay Ingle & Dikshant Joshi

#FinanceAutomation #AIBoomiAnnual26

[Hyphenate @HyphenateAI]

@avinashraghava Thanks for the shoutout!! @ramkris @ajkrish95

[Hyphenate @HyphenateAI]

@AiLchemy @RajaswaPatil Yes - always

[Hyphenate @HyphenateAI]

@RajaswaPatil Welcome back to nyc! ❄️

[Ramnandan Krishnamurthy @ramkris]

Strong argument for who can build the strongest context graphs:
execution agents >> search copilots

Former is the net new opportunity if you can capture decision traces in the write path

Latter is what incumbents are layering on top of existing systems of records in the read path

[ashu garg @ashugarg]

@weareplayerzero, @maximor_ai, and @tryolivai are great examples of this.

PlayerZero builds the context graph by automating L2/L3 support - sitting at the intersection where code, config, infrastructure, and customer behavior collide.

Maximor captures decision lineage by orchestrating finance workflows where reconciliation logic and exceptions actually live.

Oliv builds it for sales - starting as a co-pilot that performs specific tasks (update CRM, send follow-up) and capturing the decision traces along the way.