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The month in Startups and VC
Longest running story: 35 days
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OpenAI and other frontier AI companies pushed private valuations higher while preparing for possible public listings. By month’s end, OpenAI had reduced its fundraising and valuation targets, while Anthropic’s IPO preparations exposed the losses, compute costs, and investor scrutiny behind the sector’s scale.
AI security developed from deepfake detection into agent security and autonomous cybersecurity, with funding establishing it as a distinct category. Upwind’s later $450 million round showed that enterprise security demand remained a major source of capital as AI workloads expanded.
Funding broadened from general-purpose models into mortgage servicing, healthcare staffing, billing, industrial sales, accounting, and other specialized workflows. Legal AI then produced a major financing milestone, raising the pressure on these companies to prove adoption, savings, and sustainable economics.
Robotics, autonomous defense, 3D-printed housing, and critical-materials companies attracted substantial financing and higher valuations. The capital strengthened the case for physical AI and industrial startups, while shifting the test toward production, deployment, government demand, and costs.
Tenstorrent raised $1.5 billion to scale open-weight AI chips while remaining independent, intensifying the challenge to incumbent hardware platforms. Cohere’s $5 billion financing extended the same strategic logic to sovereign AI, making control over data, infrastructure, and deployment a central startup proposition.
Kalshi nearly doubled its valuation to $40 billion through a $1 billion financing, making prediction markets one of the most heavily funded emerging financial platforms. That scale now raises sharper questions about trading activity, revenue, market integrity, and regulatory progress.
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