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Ramp raised $1.85B led by Dragoneer at a $60B valuation, up from $44B after raising $750M in June, and hits $2B in annualized revenue, up from $1.5B in June

First reported by Bloomberg ·

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Why you might care

The cost of managing AI-related spending falls by up to 40% for businesses using Ramp's new tools.

What happened

Ramp has secured $1.85 billion in primary financing, achieving a valuation of $60 billion. This funding round was led by Dragoneer Investment Group, with participation from Thrive Capital, Founders Fund, Sands Capital, and Avenir Growth. The company also announced it has surpassed $2 billion in annualized revenue, a significant increase from its previous $1.5 billion in June. Ramp reported that its current revenue growth pace is 25% faster than the previous year, with its enterprise segment showing rapid expansion. The company now serves over 85,000 businesses, managing over $275 billion in annualized purchase volume. Ramp's platform, which includes corporate cards, expense management, bill payments, and AI cost management tools, is being adopted by most customers for multiple services, demonstrating strong user engagement and product expansion.

What it means

Ramp's substantial funding and valuation underscore the intense investor confidence in the financial operations and AI management sector. The company's expansion beyond traditional expense management into AI cost control signifies a broader market trend where financial platforms are integrating AI governance and optimization. This positions Ramp not just as a payment processor but as a comprehensive operating system for modern finance teams grappling with emergent technologies.

The increasing adoption of multiple Ramp products by its customer base highlights a demand for integrated financial solutions that reduce operational complexity. Ramp's strategic focus on AI expense management, through offerings like AI Token Spend Management and Router.com, directly addresses a growing pain point for businesses. This could pressure other fintech and enterprise software providers to enhance their AI cost visibility and optimization capabilities to remain competitive.

AI-written summary. May contain errors.

Funding