About Cardinal

Cardinal was born from a simple observation: building AI agents is hard. Not because the technology isn't ready, but because the tooling is fragmented. Engineers spend weeks wiring together LLMs, data sources, approval flows, and deployment infrastructure before they can ship anything to production.

We spent a combined 15 years at Netflix building the platforms that powered the company's engineering teams — observability systems processing petabytes of data, real-time data pipelines, centralized logging, and developer tools used by thousands of engineers daily. We saw firsthand how great tooling transforms what teams can accomplish.

With Cardinal, we're bringing that same philosophy to AI agents. We believe the next wave of automation won't come from data scientists tuning models — it'll come from engineers building agents that solve real problems. Our job is to make that as simple as writing a few lines of code.