Sixty days. Seventeen companies. $100 million floors. Three rounds north of $1 billion.
TechCrunch’s February 17 roundup confirmed that by mid-February, 17 U.S.-based AI companies had already cleared the $100 million threshold in the new year. That’s not an aggregate estimate from a VC data vendor, it’s a named-company list from a T3 publication whose page title the TJS verification team confirmed word-for-word. The full list requires retrieving the article body, which The Builder flags as a prerequisite for populating the funding tracker below with individual company rows.
The $1 billion sub-count, at least three rounds exceeding that figure, is stated in TechCrunch’s reporting and is plausible given the publicly known context: OpenAI’s $40 billion round and Anthropic’s prior raises both landed in this period and would account for two of the three on their own. TJS treats this figure as partially verified: attributed to TechCrunch’s reporting, not independently confirmed from available sources.
Why does a January-February snapshot matter in May? Because it’s the most granular verified dataset available for where early-2026 AI capital actually concentrated. Aggregate figures for Q1 2026 VC, $300 billion globally per Crunchbase, with AI accounting for the bulk, are real but dominated by a handful of mega-rounds. The 17-company list is the disaggregated version: it tells you which companies captured capital and at what stage, which matters more for investment pattern analysis than the headline total.
The funding pattern has a structural signal embedded in it. The concentration of $100 million-plus rounds in the first 60 days of the year, before Q1 earnings confirmed the hyperscaler capex trajectory, suggests that institutional investors were pricing in the infrastructure build-out thesis before it showed up in public company data. Three $1 billion-plus rounds in two months is not noise. It’s a validation signal for the thesis that AI capital is moving faster than typical venture cycles.
What to watch: the full TechCrunch article contains the company names, sectors, and round details that would make this dataset actionable. TJS recommends retrieving that article to populate the funding tracker with individual rows. The February 2026 cohort will also be a useful comparison baseline when the March and April funding data firms up, if the $100 million-plus pace held through Q1, the aggregate implies a sustained structural shift rather than a January front-loading effect.
The TJS read: the 17-company figure is a useful anchor precisely because it’s specific and verified. In a market where funding narratives are often built on Crunchbase estimates with methodology caveats, a named-company list from a confirmed TechCrunch article gives analysts and investors a cleaner dataset to work from. Use it as the denominator when evaluating any Q1 2026 funding claim, and treat any aggregate figure that can’t be traced back to named companies with the appropriate skepticism.