AI infrastructure startup Trajectory has raised $40 million in funding, with Sequoia Capital participating in the round.

According to a report from The Information, AI infrastructure startup Trajectory has closed a $40 million funding round, with a post-money valuation of $300 million. Sequoia Capital participated in the investment, while the specific funding round details and other investors remain undisclosed. Founded by former researchers from tech firms including Google and Apple, Trajectory specializes in helping enterprises customize open-source AI models for specific business needs, and optimizing the software toolchains that power AI Agent operations (dubbed "Agent Harness"). As the cost of using closed-source large models continues to rise, more enterprises are turning to alternatives: on one hand, reducing costs by fine-tuning and customizing open-source models; on the other, improving Agent execution frameworks to enable AI models to call tools and complete tasks more efficiently. This trend is fueling a new wave of startups focused on model adaptation and Agent infrastructure. Trajectory aims to address key challenges enterprises face when deploying AI Agents, including model performance optimization, task execution reliability, and adaptation to enterprise use cases. The company hopes to help businesses build more efficient, low-cost AI applications by offering model customization and Agent runtime infrastructure.