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Indian-Origin Founders' Hyphenate Raises $45 Million Led by Nexus to Automate the CFO's Office With AI Agents

Hyphenate, the New York-based finance automation startup formerly known as Maximor, has raised a $45 million Series A led by Nexus Venture Partners with B Capital, Foundation Capital, BoldCap and Gaia. Founded in 2024 by Ramnandan Krishnamurthy and Ajay Krishna Amudan, it uses AI agents to automate order-to-cash, treasury and accounting, taking total funding to $54 million.

By Nisha Omkumar · Author29 October 2026New
Indian-Origin Founders' Hyphenate Raises $45 Million Led by Nexus to Automate the CFO's Office With AI Agents

Two Indian-origin founders who started a finance automation company less than two years ago have raised one of the larger Series A rounds of the year in enterprise AI, betting that the chief financial officer's office is ready for software that does the work rather than simply recording it.

Hyphenate, a New York-based startup formerly known as Maximor, has raised $45 million in a Series A round led by Nexus Venture Partners, according to reports on Wednesday, October 28. B Capital, Foundation Capital, BoldCap and Gaia also participated. The round takes the company's total funding to $54 million.

The company was founded in 2024 by Ramnandan Krishnamurthy and Ajay Krishna Amudan. Alongside the funding, it has rebranded from Maximor to Hyphenate.

What Hyphenate does

Hyphenate builds AI agents that automate work in a company's finance function, including order-to-cash, treasury and accounting. Order-to-cash covers the steps between a customer placing an order and the company collecting payment: invoicing, applying payments, chasing overdue accounts and reconciling the records. Treasury covers cash management, while accounting includes the month-end close, reconciliations and journal entries.

These processes are central to every business, yet in many companies they still depend on large teams working across spreadsheets, enterprise resource planning (ERP) systems, bank portals and email. Errors and delays are common, and the month-end close can take days or weeks.

AI agents promise to change that by reading documents, matching transactions, flagging exceptions and preparing entries for human review. Rather than replacing ERP systems, products such as Hyphenate's typically sit on top of them, connecting data from different sources and carrying out repetitive tasks.

Why investors are paying up

A $45 million Series A for a company founded in 2024 reflects investor enthusiasm for AI applications that target specific, high-value business functions. Finance teams handle large volumes of structured data and follow well-defined rules, which makes their work well suited to automation. Customers can also measure the benefits clearly, in terms of hours saved, faster closes and improved cash collection.

Nexus Venture Partners, which invests in both India and the United States, has backed many enterprise software companies founded by Indian entrepreneurs, including Postman. B Capital, Foundation Capital and BoldCap have also been active investors in enterprise and AI startups.

A crowded field

Hyphenate enters a competitive market. Established software companies such as SAP, Oracle, Workday, Intuit and BlackLine are adding AI features to their finance products, and a large number of startups are building AI tools for accounting, accounts payable, accounts receivable and financial planning.

Large enterprise software providers are also building AI agents across business functions. Microsoft, Salesforce and ServiceNow have all made agentic AI a central theme of their strategies, and ServiceNow said this week that it expects strong demand for its AI products.

For a young company, competing against such rivals requires a clear focus. By concentrating on finance operations and on the workflows that consume the most time for finance teams, Hyphenate aims to offer deeper capabilities than general-purpose tools.

The trust question

Finance is a domain where accuracy and auditability are critical. Companies must comply with accounting standards, audit requirements and regulations, and errors can have serious consequences. AI systems that make mistakes, or whose decisions cannot be explained, would face resistance from finance leaders and auditors.

“The finance function, long run on spreadsheets and month-end crunches, is becoming one of enterprise AI's biggest battlegrounds.”
— TIGI Startups Desk

As a result, many finance automation companies design their products so that AI agents prepare work and human staff review and approve it, at least initially. Building trust with chief financial officers and controllers is likely to be as important as the technology itself.

Diaspora founders in enterprise AI

Hyphenate is one of many enterprise software companies founded by entrepreneurs of Indian origin, who have built some of the most successful companies in the sector. From Freshworks and Postman to Zscaler and Rubrik, Indian-origin founders have a strong track record in building software for businesses, often combining engineering teams in India with sales and leadership in the United States.

That model is increasingly being applied to AI. Founders with experience in both markets can tap India's deep pool of engineering and finance talent while selling to American companies, which are typically the earliest and largest buyers of new enterprise software.

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The finance talent shortage

Demand for automation in finance is also being driven by a shortage of accountants. In the United States, the number of people entering the accounting profession has declined, while experienced accountants are retiring. Companies are finding it harder and more expensive to hire, which increases the appeal of tools that allow smaller teams to handle more work.

India, which has a large accounting and finance workforce and has long provided outsourced finance services to global companies, is also affected by the shift. As AI automates routine tasks, finance professionals are expected to focus more on analysis, control and decision-making.

What the money will fund

Startups raising Series A rounds of this size typically invest in product development, hiring engineers and expanding sales and customer success teams. For Hyphenate, the funding will support building out its AI agents across more finance workflows and winning larger enterprise customers.

From Maximor to Hyphenate

Rebrands at an early stage are not unusual, as startups refine their positioning and expand their product range. The new name, Hyphenate, is intended to reflect the company's role in connecting different parts of the finance function and the systems they rely on. Finance teams typically work across several software tools, and connecting them has long been a challenge.

What comes next

Hyphenate's progress will be watched as a test of whether AI agents can be trusted with core finance work at large companies. If it can show that its products deliver measurable improvements in speed and accuracy, it could become one of the leading companies in a market that every business needs. For the Indian diaspora entrepreneurs behind it, the round is a strong early signal of investor confidence in their approach. Customers will also judge the company on the reliability of its AI agents and the strength of its integrations with major ERP systems, which are essential for adoption by large enterprises. Each new customer win will add to the evidence that AI can take on complex, high-stakes work in the finance function.

The company's growth will also be followed closely by Indian finance professionals, whose roles could change as AI reshapes the work.

TagsHyphenateMaximorRamnandan KrishnamurthyAjay Krishna AmudanNexus Venture PartnersB CapitalFoundation CapitalBoldCapSeries AAI agentsfinance automationCFOaccountingtreasuryorder-to-cashenterprise AIfintechIndian diasporaNew York startupsSaaS

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