Ramp, a leading financial operations platform, has announced a significant $500 million Series E-2 funding round, elevating its valuation to $22.5 billion, up from $16 billion just 45 days prior.

This valuation increase reflects Ramp's rapid growth, as the company became cash-flow positive earlier in 2025, marking a pivotal moment in its financial trajectory.

With a focus on AI-driven autonomous finance solutions, Ramp recently launched its first AI agent and plans to develop more in the future to enhance operational efficiency.

These autonomous AI agents are designed to significantly boost productivity, aiming for a threefold improvement in efficiency per minute compared to two years ago, with a target of achieving a 30x increase by 2027.

Ramp has crossed $700 million in annualized revenue, primarily generated through interchange fees, transaction fees, and SaaS revenue, demonstrating its robust business model.

Currently serving over 40,000 customers, including notable companies like Shopify and CBRE, Ramp has saved clients over $10 billion and 27.5 million hours, showcasing its impact on corporate finance.

Despite its success, Ramp currently serves only 1.5% of businesses in the US, indicating substantial growth potential as it continues to scale its operations.

The company competes with firms like Brex and Navan, as well as traditional providers such as American Express, and aims to utilize the new capital for further expansion.

The recent funding will also facilitate the hiring of engineers, product experts, and sales staff to bolster Ramp's AI-driven financial automation services.

As the fintech sector shows signs of recovery, experts note that Ramp's rapid valuation increase signals a thawing investment landscape, particularly for profitable companies integrating AI.

However, concerns about the deployment of AI agents are rising, with experts urging caution regarding potential risks in financial management and data security.

Glyman emphasizes that the goal of AI integration is not to replace human roles, but to redeploy talent to more strategic positions as AI takes over routine tasks.