Billions are flowing into AI, but not where they used to. The largest funding rounds this week went to startups working on deployment, compute and pricing, the systems that determine whether AI can operate efficiently and profitably. The focus is shifting from invention to execution as investors look for what they can scale.
Vercel raised $300 million dollars at a $9.3 billion valuation. The company runs a platform that helps developers deploy and manage web applications quickly without maintaining their own servers. As more firms build products that rely on dynamic data or AI, deployment has become a bottleneck. Vercel automates everything from testing to live production, handling hosting, performance and updates so teams can launch new products faster. It sits within the infrastructure layer that connects software development to cloud computing, giving businesses a simpler and more reliable path to bringing digital products online.
On the compute side, Cerebras Systems raised $1.1 billion at an $8.1 billion valuation to expand chip production and data center capacity. Its wafer-scale chips move data more efficiently, reducing power use and training time for large models. Groq, building in the same space, is focused on the next step in the chain, inference-running AI models in real time. Its processors are designed for consistent, low-latency performance in areas like customer service and financial trading where every millisecond matters. Both firms are drawing investor interest as competitors to Nvidia, whose chips still dominate but face growing supply and cost pressures.
Eve, a legal AI firm focusing on plaintiff law raised $103 million in Series B funding, with backing from Coatue and Andreessen Horowitz. The company builds tools that help law firms automate evidence review and document management, speeding up routine work while maintaining legal oversight. The trend is gaining traction across the industry. Harvey recently raised $50 million from EQT Growth to expand internationally, underscoring investor confidence in AI systems tailored to professional and regulated environments.
Paid, based in London, closed $21 million in an oversubscribed seed round led by Lightspeed, EQT Ventures and FUSE. The company is rethinking how businesses pay for AI services. Instead of fixed monthly fees, its platform lets companies pay only when an AI agent completes a task such as resolving a customer query or finalizing a transaction. The approach replaces traditional subscription pricing with results-based billing, offering clearer links between cost and value. Earlier, Paid raised $10.8 million in pre-seed to scale its platform, which PYMNTS described as key to building the financial infrastructure for the emerging AI agent economy.
The movement of capital toward companies like these reflects a broader transition. Investors are supporting firms that make AI usable, reliable and measurable, turning research advances into systems that work at scale. As PYMNTS reported, more than half of global venture investment this year went to AI startups, a trend reflected in this week’s funding activity.
Source: https://www.pymnts.com/
