Analysis
Two of this week's biggest deals -- Even Realities' $150 million round at a $1 billion valuation, and Agility Robotics' $620 million SPAC raise at a $2.5 billion valuation -- share a common thread: both companies have real, verifiable commercial traction (10,000+ units sold; $300 million in cumulative bookings, respectively), but both are being valued at multiples that assume years of future growth well beyond what current revenue would support on its own.
This isn't an isolated pattern. Crusoe's reported $3 billion raise tripling its valuation to roughly $30 billion, and TwelveLabs' $100 million Series B for video-understanding AI, both reflect the same dynamic: growth and late-stage investors are pricing AI-adjacent and infrastructure-adjacent companies on trajectory and scarcity of the category, not trailing financial performance -- a meaningfully more aggressive posture than typical growth-equity underwriting even five years ago.
The scale shift is real: a $150 million round would have been considered a large Series C in 2020; today it's landing on companies with Even Realities' relatively early commercial maturity, while $600 million-plus raises that used to be reserved for the very largest late-stage growth rounds are now going to companies like Agility that are pre-scale relative to broader industrial-automation revenue benchmarks.
Compared to H1 2026's headline $510 billion global funding total -- of which OpenAI and Anthropic alone reportedly captured 43% -- these mid-sized megarounds (Even Realities, Agility, TwelveLabs) represent a second tier of round-size inflation happening just beneath the very largest frontier-lab deals, suggesting the inflation isn't confined to the absolute top of the market.
For growth-stage investors, the pattern raises a genuine underwriting question: how much of this round-size inflation reflects legitimately larger addressable markets and scarcity value (fewer credible competitors per category), versus how much simply reflects capital abundance chasing a shrinking pool of companies perceived as category leaders.
For founders, the practical takeaway is that raising "a normal-sized round" in AI-adjacent hardware or infrastructure increasingly means benchmarking against these bigger numbers -- both a validation that ambitious raises are achievable, and a warning that investor expectations for growth and scale may be calibrating to match.
The bear case: round-size inflation without corresponding revenue growth is exactly the setup that produced painful down rounds in 2022-2023 after the 2021 funding peak; if Even Realities' or Agility's growth doesn't scale fast enough to catch up to these valuations, both face the same repricing risk that hit the prior cycle's most aggressively-valued companies.
What to watch: whether Even Realities' and Agility's next funding events (a follow-on round, or post-SPAC trading for Agility) validate or challenge these valuations, and whether round-size inflation continues to spread into categories beyond AI infrastructure and AI-adjacent hardware.
