Primer's $100M Series C: London Payments Infra Bets the US Wants Autonomous AI Checkout
Primer raised $100M Series C from Sofina and Peak XV to scale AI-native payments — US ARR doubling YoY as autonomous finance ops go mainstream.
AI Infrastructure Venture Capital & Funding Trends
AI infrastructure has become one of the largest categories in venture capital, spanning compute, model serving, agent frameworks, and enterprise deployment layers. Our coverage tracks where investors are placing bets and which companies are defining the next layer of the AI stack.
AI Infrastructure Investment Themes
- Inference & serving: Model deployment, latency optimization, and cost efficiency
- Agent platforms: Orchestration, tooling, and enterprise workflow automation
- Data & observability: Training data, evaluation, and production monitoring
- Hardware adjacencies: Chips, edge compute, and specialized accelerators
Explore AI infrastructure funding news and analysis below.
Related Articles (44 articles)
Hark's $700M Series A: A $6B Bet on the First Must-Have Consumer AI
Brett Adcock's Hark raised a $700M Series A at a $6B valuation in May 2026 to build a universal AI personal assistant — models plus purpose-built hardware.
Catena Labs' $30M: Circle Co-Founder Bets on an AI-Native Bank From Day One
Catena Labs raised $30M Series A led by Acrew and a16z crypto — Sean Neville's play to build financial infrastructure for AI agents.
Exa's $250M Series C: AI Search Isn't a Feature — It's Infrastructure at $2.2B
Exa Labs raised $250M led by a16z at $2.2B valuation to scale AI-native web search — hiring Meta and Yandex search veterans.
Moment's $78M Series C: NYC AI OS for Advisors Managing $10T+ in Client Assets
Moment raised $78M led by Index Ventures — AI operating system deployed at Edward Jones, LPL, and Hightower collectively overseeing $10T+.
Armada's $230M Series B at $2B: Edge AI Infrastructure Gets a Mega Growth Check
Armada closed an oversubscribed $230M Series B at $2B pre-money — edge computing for AI workloads as enterprise deployment scales.