Trigger.dev raised $16 million in Series A funding led by Standard Capital, becoming the latest infrastructure company to tackle enterprise AI agent deployment bottlenecks. The open-source platform already executes hundreds of millions of AI agents monthly for over 30,000 developers, including production deployments at MagicSchool, Icon.com, and DavidAI.

This funding addresses a critical infrastructure gap: while prototyping AI agents remains straightforward, building production-grade systems that handle reliability, scaling, orchestration, and observability requires specialized infrastructure most development teams lack.

TestSprite raised $6.7 million in seed funding to automate AI code testing and validation, addressing a critical infrastructure bottleneck that has emerged as AI coding tools accelerate software development while testing capabilities lag behind.

The funding round was led by Trilogy Equity Partners, with participation from Techstars, Jinqiu Capital, MiraclePlus, Hat-trick Capital, Baidu Ventures, and EdgeCase Capital Partners. This brings the Seattle-based startup’s total funding to $8.1 million as it builds autonomous testing infrastructure for AI-powered development workflows.

Developers can build an AI chatbot in minutes, but deploying a production agent with tools and guardrails still takes weeks. Despite the explosion of AI model capabilities, the infrastructure layer that connects models to real-world tools remains surprisingly primitive. Dedalus Labs’ $11 million seed round, co-led by Kindred Ventures and Saga Ventures with Y Combinator participation, signals recognition that developer infrastructure—not model performance—has become the primary bottleneck in AI agent adoption.