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AI Agent Finance Startup Ramp Raises 00M
AI

AI Agent Finance Startup Ramp Raises 00M

Ramp secures 00M at a 2.5B valuation to scale its AI-powered financial operations platform, saving companies time and money.

July 31, 2025
5 min read
staff

Ramp secures 00M at a 2.5B valuation to scale its AI-powered financial operations platform, saving companies time and money.

AI financial operations startup Ramp has announced the successful closure of its Series E-2 funding round, securing $500 million at a valuation of $22.5 billion. This latest investment brings Ramp's total equity financing to an impressive $1.9 billion. The New York-based company also shared that it achieved positive cash flow earlier this year. The funding round was led by ICONIQ, with significant participation from existing investors including Founders Fund, D1 Capital Partners, GIC, Coatue, Avenir Growth, Thrive Capital, Khosla Ventures, Sands Capital, 8VC, Lux Capital, Altimeter, Definition Capital, 137 Ventures, General Catalyst, and Stripes. New investors joining this round are Sutter Hill Ventures, Lightspeed Ventures, T. Rowe Price Associates, Inc., GV (Google Ventures), Emerson Collective, Operator Collective, and Pinegrove Capital Partners. Will Petrie, Chief Financial Officer at Ramp, expressed his optimism, stating, "We’re focused on ensuring our only constraint is the scale of our ambition. We have a fortress balance sheet and an accelerating core business. Both will allow us to play to win as AI reshapes the future of finance." Ramp operates as a financial operations platform designed to streamline business processes and save companies time and money by automating tedious tasks. Its comprehensive solution integrates payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping, all enhanced with built-in intelligence to optimize spending. Since its founding in 2019, Ramp has served over 40,000 customers, ranging from small farms to emerging startups, helping them save an estimated $10 billion and 27.5 million hours. The company's AI-driven approach is central to its mission of transforming financial workflows by reducing manual effort and increasing operational efficiency, positioning Ramp as a significant player in the evolving fields of agentic AI and financial technology.

Frequently Asked Questions (FAQ)

What is Ramp? Ramp is a financial operations platform that uses AI to automate and streamline various business financial tasks, including payments, corporate cards, vendor management, procurement, and bookkeeping. How much funding has Ramp raised in total? Ramp has raised a total of $1.9 billion in equity financing. What is Ramp's valuation after the Series E-2 funding round? Ramp's valuation after the Series E-2 funding round is $22.5 billion. When did Ramp begin generating positive cash flow? Ramp began generating positive cash flow earlier this year. What industries does Ramp serve? Ramp serves a wide range of industries, from small family farms to space startups. How does Ramp use AI? Ramp leverages AI to automate financial workflows, reduce manual effort, increase operational efficiency, and maximize the impact of every dollar and hour spent by its customers.

Crypto Market AI's Take

This significant funding round for Ramp underscores the growing trend of AI integration within the financial sector. Companies like Ramp are demonstrating how AI can revolutionize traditional financial operations, making them more efficient and cost-effective. At Crypto Market AI, we are also deeply invested in the transformative power of AI, particularly in the realm of cryptocurrency. Our platform leverages cutting-edge AI agents and advanced analytics to provide users with sophisticated tools for market intelligence, trading, and portfolio management. We believe that the future of finance is intertwined with AI, and we are committed to offering our users the most advanced and secure solutions. Explore our platform to learn more about how AI is reshaping the crypto landscape, from automated trading bots to in-depth market analysis.

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Source: Originally published at insideAI News.