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AI Startups Are Becoming Serial Acquirers, Crunchbase Data Shows

Crunchbase data shows fast-growing AI startups are increasingly using acquisitions to fill product gaps, enter new markets and bring specialized teams in-house, with OpenAI leading the wave.

M&A illustration of a magnet attracting various products
Image credits:Dom Guzman

AI Startups Are Buying to Move Faster

Crunchbase data shows some of the fastest-growing AI startups are becoming serial acquirers, using deals to fill product gaps, enter new markets and bring specialized teams in-house. Acquisitions of AI startups by other venture-backed AI companies reached 195 through Sept. 29, 14% more than in all of 2025. The number of buyers grew just 2%, suggesting repeat acquirers are driving much of the increase.

The takeaway for founders and investors: AI competition is shifting from simply building products to assembling platforms quickly through M&A.

Repeat Buyers Are Driving the Deal Wave

Across the three-year period reviewed, 67 repeat buyers accounted for about 42% of all tracked transactions. OpenAI was the most active buyer, with 20 AI-related acquisitions, including 10 this year. Other repeat buyers this year include Anthropic and Legora with five acquisitions each, Harvey with four, Sierra and Cursor with three each, and Cohere with two.

For market watchers, the pattern points to a smaller group of well-funded AI companies making acquisitions a recurring part of growth strategy.

What AI Companies Are Buying

The acquired companies show where AI startups see strategic gaps. OpenAI’s purchases have spanned healthcare data, scientific-writing software, developer infrastructure, security tools and specialized talent. Legal AI startups such as Harvey and Legora have focused on expanding platforms through tools for research, regulatory monitoring, litigation support, asset management workflows and agent testing.

Sierra’s deals point to another use case: acquisitions that support geographic expansion and broader customer-service or operational automation capabilities.

Large Deals Stand Out, but Disclosure Is Limited

Several acquisitions in the dataset were sizable. Nscale’s reported $1.65 billion acquisition of Anyscale was the largest with a recorded price, followed by Cyera’s $1 billion acquisition of Oasis Security. Other recorded deals included Anthropic’s $400 million acquisition of Coefficient Bio, OpenAI’s $300 million acquisition of Glass Imaging, and Sword Health’s acquisition of Kaia Health valued at up to $285 million.

Still, prices were disclosed for only 12 of the 195 deals, limiting a full read on total AI startup acquisition spending. Crunchbase notes the analysis is based on transactions in its dataset and does not include deals that have not been publicly reported.

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