AI Startups Turn Serial Acquirers: 195 Deals Already Top 2025 Total

Venture-backed AI companies have struck 195 acquisitions of fellow AI startups through Sept. 29 — 14% more than in all of 2025, according to Crunchbase data. Yet the pool of buyers grew just 2%, meaning a small group of increasingly serial acquirers is driving nearly all the growth.

OpenAI is the busiest buyer by a wide margin, with 20 AI-related acquisitions over three years, including 10 this year. Anthropic and legal AI startup Legora have each announced five acquisitions in 2026, followed by Harvey with four. Sierra and Cursor have made three each; Cohere has announced two. Many of the buyers are vertical AI startups consolidating their own niches.

Why are AI startups buying instead of building?

The deals mark a new phase of competition. Well-funded startups use M&A to broaden products and reach customers faster than building in-house would allow. In legal tech, acquisitions bring research, regulatory monitoring and litigation tools into broader platforms.

Legora CFO David Eckstein laid out the calculus in a LinkedIn post explaining the Stockholm company's back-to-back purchases: "M&A is explicitly part of how we accelerate what we're building. The question we always ask is: does this deal get us somewhere faster than we'd get there ourselves?"

Rama Sekhar, a partner at Menlo Ventures — an investor in Anthropic and Legora — puts it bluntly: "It's all about speed in the AI world. It's faster to acquire a team or product than build it yourself. If you're not growing 10x, you're not interesting to growth investors, which leaves a gap in the funding market for AI startups that need a home. High valuations have also given AI startups cheap currency to use their stock to get these deals done with minimal dilution."

Across the three-year period, 67 repeat buyers accounted for roughly 42% of all tracked transactions, Crunchbase data shows.

How big are the deals?

Several transactions this year carry nine- and ten-figure price tags:

• Nscale's reported $1.65 billion acquisition of Anyscale — the largest deal with a recorded price
• Cyera's $1 billion purchase of identity security startup Oasis Security
• Anthropic's $400 million acquisition of Coefficient Bio, which develops AI for pharmaceutical research
• OpenAI's $300 million acquisition of Glass Imaging, a Los Altos, California startup embedding customized AI in camera hardware
• Sword Health's acquisition of Kaia Health, valued at up to $285 million

Prices were disclosed for only 12 of the 195 deals, making total startup M&A spend difficult to gauge.

What is OpenAI buying?

OpenAI's purchases range widely — from healthcare data and scientific-writing software to developer infrastructure, security tools and specialized talent. The San Francisco company announced three acquisitions in January alone, setting the tone for the year:

• Convogo, whose AI software helps executive coaches automate leadership assessment reports
• Torch Health, an AI-powered app unifying medical records from hospitals, labs, wearables and consumers
• Crixet, a provider of LaTeX editing, error detection and team collaboration

In February, OpenAI took part in an acqui-hire involving open-source AI agent OpenClaw and its creator, Peter Steinberger. In March it announced plans to acquire Astral, which builds open-source tools for software developers, and snapped up Promptfoo, an open-source tool for testing AI applications. In June it agreed to buy Ona, formerly Gitpod, which provides secure cloud environments where developers and AI agents keep working after a user's laptop closes. In August it acquired Instant, which turns prompts, notes and documents into editable presentations.

Are vertical AI startups rolling up their markets?

Legal tech is the clearest case. Harvey's four known purchases this year fill gaps around its core platform: Hexus (product demos, videos and guides), Lume (software connecting customer data with AI systems) and Benchmark, whose software helps asset managers apply insights from previous investments to new deals — expanding Harvey's presence in asset management. On Sept. 9, Harvey announced its acquisition of Guardrails AI, which builds open-source tools for testing and managing AI agents.

Harvey COO Katie Burke told Crunchbase News the strategy targets "technical talent with high ownership and deep experience in legal tech or an adjacent space to legal." Of Benchmark's founders, she said: "they know the asset management space cold, and their name was dropped so many times in customer conversations that it was a natural fit for them to join our team." Burke described the approach as "selective but aggressive": "We hold an incredibly high bar for talent and when we identify an additive company, we move quickly and will continue to do so this year and beyond."

Legora has pursued an even broader roll-up, with five announced acquisitions:

• Walter AI, a nine-person Canadian startup whose agents work inside Microsoft Word and Outlook
• Qura, a Stockholm company building AI-native legal research tools
• Graceview, an Australian regulatory-intelligence platform monitoring more than 100 areas of law
• Cadastral, whose AI agents analyze documents for commercial real estate companies
• Wexler AI of London, which helps litigation teams extract facts, spot inconsistencies and build case timelines

Sierra's deals extend both geographically and beyond customer service: Tokyo-based Opera Tech in March for its Japan expansion, Paris-based Fragment to automate operational work, and TakeOff in July — a 14-month-old startup building "long-horizon" agents.

What's in it for the targets?

Even fast-growing startups see exits as a shortcut to scale. TakeOff founder Aakash Thumaty wrote in a July blog post that his company had a "near 8-figure run rate" with a three-person team. "The advice for an AI startup growing at our pace is to hire out a sales team, raise again, and keep going," he wrote. "We had capital, customers, and great traction," but joining Sierra offered a way to "accelerate our shared vision and simultaneously build it at a grander scale."

With both the buyer pool and per-buyer activity expanding, Crunchbase projects the pace of AI startup M&A to keep rising in the months and years ahead — a signal that consolidation, not just competition, now defines the sector's growth path.