Hierarchical planning AI for autonomous agent execution in production
Sailplane is a 2–10-person AI research company founded by Google Brain and Cloud veterans, focused on hierarchical planning for autonomous agents in real production environments. The tech stack (Claude, OpenAI, Python, TypeScript, Next.js, GCP) is optimized for rapid iteration on language models and agent systems. The hiring profile—five senior/principal engineers and one designer with accelerating velocity—reflects a research org scaling toward productization: projects span control planes, sandboxing, LLM deployment pipelines, and observability, while internal pain points center on managing large-scale AI data centers, indicating they're building both for external customers and their own infrastructure needs.
Sailplane builds research and tooling for hierarchical planning agents—autonomous systems that execute real-world tasks with high success rates. The company is backed by founders with deep experience at Google Brain and Google Cloud. Their active work spans agent stack development, LLM production deployment (including on-premises variants), sandboxing and rollback strategies, and simulation/evaluation pipelines. The product direction suggests a focus on reliability and observability for agent systems at scale, with early emphasis on data center and MLOps infrastructure.
Sailplane uses Claude, OpenAI, Python, TypeScript, Next.js, React, GCP, and Cursor for development. Figma, Framer, and Storybook support design and component workflows.
Sailplane is developing control planes for autonomous agents, LLM deployment and MLOps pipelines, sandboxing/rollback strategies, and observability/tracing systems for agent execution in production.
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