Fleet AI

Fleet AI is an applied artificial intelligence company focused on human-AI collaboration at scale, building the infrastructure for the next generation of autonomous agents. The platform creates simulated worlds and real-world challenges to better understand and shape the behavior of artificial intelligences. Fleet's training gyms serve as high-fidelity simulation environments where AI agents can practice doing tasks while humans provide supervision and feedback. The company envisions a future where every individual and team can direct thousands of AI agents in parallel, achieving multiple orders of magnitude more impact.

• Training Gyms for Agents — High-fidelity simulation environments where AI agents practice real-world tasks, enabling rapid skill development and behavioral refinement.
• Human-AI Collaboration — Supervision tools that allow humans to oversee, guide, and correct AI agent behavior at scale, bridging the gap between automation and human intent.
• Simulated World Creation — Fleet builds synthetic environments that mirror real software, tools, and workflows so agents can be trained before deployment.
• Real-World Challenges — Agents are tested against authentic tasks drawn from real enterprise contexts, ensuring training translates to production performance.
• Allocation Economy Vision — Fleet's platform is designed to empower individuals and teams to direct work rather than do it, democratizing a capability previously reserved for the top 1% of the global economy.
• Drop-in Virtual Assistants — The end goal is experienced virtual assistants familiar with the software, tools, and expertise of the teams they serve, deployable without deep technical setup.

Fleet is backed by Sequoia Capital, Menlo Ventures, and SV Angel, and is built by a team with experience from Anthropic, Meta Superintelligence, Microsoft AI, Docker, Citadel, Jane Street, and others.