Finovate Blog

• Ramp raised $750 million at a $44 billion valuation as it expands beyond corporate cards and expense management.
• The company is betting AI token spend will become a major business cost category requiring new financial infrastructure.
• Ramp launched Stack, an AI-native accounting platform, as it pushes deeper into automation, accounting, and enterprise finance.

Corporate card and expense management platform Ramp is on a roll this week. In addition to launching Stack, an AI-native platform for accountants, the New York-based company also raised $750 million at a $44 billion valuation.

The $750 million boosts the company’s total funds to $3.75 billion, following its most recent raise of $300 million in November of last year. Investors in this week’s round include new contributors Goldman Sachs Alternatives, D.E. Shaw & Co., Morgan Stanley Investment Management, Generation Investment Management, Insight Partners, and BroadLight Capital, as well as previous investors Founders Fund, Lightspeed Venture Partners, D1 Capital Partners, T. Rowe Price, General Catalyst, Alpha Wave Global, 137 Ventures, Thrive Capital, Coatue, Sands Capital, Khosla Ventures, 1789 Capital, Avenir Growth, BoxGroup, 8VC, Pinegrove Venture Partners, Definition Capital, and Stripes.

The investment comes as Ramp positions itself as financial infrastructure for AI spending by expanding into managing one of the fastest-growing costs in business: tokens.

“For 500 years, business ran on two pillars of spend: people and vendors. In the last 24 months, a third arrived—intelligence, paid by the token and invisible to every system we’ve built to manage cost. Ramp is the infrastructure for the third pillar,” said Ramp Co-Founder and CEO Eric Glyman.

As businesses embed AI into workflows, employees and agents are generating growing volumes of token-based costs across models, copilots, and automated workflows. Ramp is betting companies will increasingly need tools to monitor, control, and optimize those costs just as they do traditional employee and vendor spending.

The round also comes days after Ramp launched Stack, a tool that allows customers to use agents to do reconciliations, update schedules, post journal entries, and create flux analyses. This creates value for accountants, as it has pre-built integrations that connect to every system their clients use, offers a full audit trail on every action, and provides an underlying model that handles a wide range of accounting tasks.

Some analysts claim that Ramp is overvalued at $44 billion, as it well exceeds competitor Brex’s valuation of $5.15 billion when it was acquired by Capital One earlier this year. It also exceeds PayPal’s valuation of nearly $38 billion.

However, Ramp is defending its value based on its past platform growth and current trajectory. In the past few months alone, Ramp has launched more than 70 products and major features. In addition to token spend management and Stack, the company released budget tools, procurement agents, accounting agents, and customized tools for startups. Also, Ramp closed two acquisitions and announced geographical expansions into the UK and Europe.

“We’re growing as fast as we were three years ago, at roughly twenty times the size,” said Glyman. “And that’s because finance is going through the biggest structural change since the spreadsheet. Every company needs infrastructure to navigate an AI economy, from a CFO in London to an accounting firm in Wichita. While we’re growing fast, we still only serve a fraction of the market. There’s a lot more work to do.”

Whether Ramp’s valuation proves justified remains to be seen. But the company’s recent product launches and messaging suggest it is attempting something larger than expense management. Rather than positioning itself as a corporate card company, Ramp is betting that businesses entering an AI economy will need new financial infrastructure to manage not only employees and vendors, but also increasingly autonomous systems and the costs they generate.

• Gradient Labs raised $26 million in Series A funding to expand its vertical AI platform, bringing its total funding to $42.6 million.
• The company will use the funds to build autonomous banking tools designed to help financial institutions automate customer operations.
• The funding shows that banks are shifting from using AI as a bolt-on solution toward using AI agents to autonomously execute operational tasks directly within financial systems.

Conversational AI platform Gradient Labs is on a mission to build AI agents that will help banks run on autopilot. The UK-based company has added $26 million to its Series A round, boosting its total funding to $42.6 million.

The investment was led by new investors Octopus Ventures and CommerzVentures, with additional backing from Redpoint Ventures and Exceptional Capital. Gradient Labs noted that the diverse group of investors is a strong validation for the company, which will use the funds to build autonomous banking tools that help banks deploy AI agents that reduce the time and resources they spend dealing with operational complexity.

Founded in 2023, Gradient Labs enables banks to embed AI agents directly into their systems to automate customer operations and complex workflows. By moving beyond rule-based automation, the company helps financial institutions reduce operational burden, improve customer experience, and prepare for an AI-first future. The company boosted its revenue by 900% last year, and currently counts 32 million end users after adding Current, Stash, and Rho to its existing client base that includes Wise, Zego, Monzo, Pockit, and others.

Gradient Labs is building on the concept of vertical AI, which is AI built specifically for one industry rather than for general-purpose. The company offers a Lending Agent that automates the borrower lifecycle, from a missed payment to outbound collections calls, to an agreed repayment plan; a Disputes Agent that handles everything from intake to chargeback; and a KYB Agent that runs identity and document checks.

The company argues that this domain specialization is what differentiates vertical AI from general-purpose AI tools. “Each agent includes the guardrails, compliance checks, and test scenarios for its domain, from FCA Consumer Duty to the EU AI Act,” said Gradient Labs CEO Dimitri Masin. “This is why so many organizations trust us to automate their long-running processes, and why we’re doubling down even further on domain-specific AI agents for financial services.”

Gradient Labs’ funding shows that banks are increasing their interest in deploying AI-powered solutions that are more integrated into their systems instead of just bolted on. Banks initially deployed AI to assist employees with customer service and internal workflows, but they are now increasingly exploring how AI can execute operational tasks autonomously.