Here are the 19 US AI startups that have raised $100M or more in 2025

Tech Crunch - Apr 23rd, 2025

In a robust continuation of last year's momentum, the U.S. AI industry has witnessed a surge in significant funding rounds in early 2025. With several billion-dollar rounds already closed, the sector is maintaining the aggressive investment pace set in 2024. Notably, companies like OpenAI, which secured a $40 billion round, and Anthropic, with a $3.5 billion Series E round, are leading the charge. Other major rounds include SandboxAQ's $450 million and Runway's $308 million, showcasing the diverse application of AI across various fields, from media production to drug discovery.

This trend underscores the growing confidence in AI's transformative potential across industries, attracting investments from major players like Nvidia, Google, and SoftBank. The implications of this investment boom are significant, potentially accelerating advancements and adoption of AI technologies. As AI continues to redefine sectors such as healthcare, legal tech, and defense, the sustained influx of capital highlights both the opportunities and competitive pressures in the AI space. With 2025 poised to potentially surpass 2024's record-breaking year, the AI industry remains a pivotal focus for innovation and economic growth.

Nvidia Open Ai Soft Bank Anthropic Ai Industry Tech Crunch Funding Rounds

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RATING

6.8

Fair Story

Consider it well-founded

The article provides a comprehensive overview of AI startup funding in 2025, offering valuable insights into the financial landscape of the industry. Its strengths lie in the detailed presentation of data and its timeliness, ensuring relevance to current discussions. However, the piece could benefit from more balanced coverage, including perspectives on potential risks and broader societal impacts. The lack of explicit source attribution and transparency regarding data collection methods slightly undermines its credibility. Overall, the article is informative for those interested in technology investments but may not engage a wider audience due to its narrow focus on financial metrics.

Accuracy

The story presents a detailed account of AI startups' funding activities in 2025, with specific figures and company details. The claims about the number of startups raising significant funds in 2024 and 2025 align with available data, and the article accurately reflects the scale of investment in the AI sector. However, some details such as investor participation and company location updates require verification. Overall, the story is largely accurate but would benefit from more explicit source citations for each claim.

Balance

The article focuses primarily on the financial achievements of AI startups, providing a comprehensive list of companies and their funding details. However, it lacks a broader discussion on the implications of these investments or perspectives from industry experts. The coverage is heavily tilted towards the positive financial aspects, without addressing potential risks or challenges faced by the AI sector.

Clarity

The article is well-structured and uses clear, concise language to convey complex financial information. Each company's funding details are presented in a logical order, making it easy for readers to follow. The tone is neutral and factual, which aids in comprehension, though the density of information might overwhelm some readers.

Source quality

The article appears to rely on credible sources such as TechCrunch for its data, which is a reputable publication known for its technology reporting. However, the specific sources of information for each funding round are not clearly attributed. The lack of direct quotes or references to primary sources diminishes the perceived reliability of the information presented.

Transparency

While the article provides a wealth of data on funding rounds, it lacks transparency in terms of methodology and source attribution. There is no clear explanation of how the data was compiled or verified, nor is there any disclosure of potential conflicts of interest. The piece would benefit from more explicit context and an explanation of the data collection process.