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Trajectory raises funding from Sequoia at $300M valuation

Trajectory, a San Francisco-based AI lab focused on continual learning, has reportedly raised funding from Sequoia Capital at a $300 million valuation, according to The Information, though the claim is unverified and no public confirmation exists. The company previously raised $15 million in a Seed round in June 2026 led by Conviction, with participation from Bessemer Venture Partners, Radical VC, and BoxGroup, and angel investors including Jeff Dean and Fei-Fei Li.

read2 min views1 publishedAug 11, 2026
Trajectory raises funding from Sequoia at $300M valuation
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Via app.dealroom.co

The San Francisco AI lab focused on continual learning has reportedly secured backing from one of Silicon Valley's most prestigious venture firms.

Trajectory, a San Francisco-based research and product lab building technology around continual learning in AI, has reportedly raised new funding from Sequoia Capital at a $300 million valuation, according to a report from The Information. However, this claim is unverified, and no public confirmation of Sequoia’s involvement in any Trajectory financing exists.

What we know about Trajectory #

The company previously raised $15 million in a Seed round in June 2026, led by Conviction. That round drew participation from Bessemer Venture Partners, Radical VC, and BoxGroup, along with angel investors including Jeff Dean, formerly Google’s chief scientist, and Fei-Fei Li, the Stanford professor widely regarded as one of the most influential researchers in computer vision.

The reported valuation #

Several companies announced $300 million funding rounds in 2025 and 2026 involving Sequoia, including Etched, the AI chip startup, and Ramp, the corporate card and spend management platform. The reported $300 million valuation for Trajectory may stem from confusion with these other companies or speculative claims, as no public disclosures connect Sequoia to Trajectory’s fundraising.

Why continual learning matters #

Continual learning, sometimes called lifelong learning in academic literature, aims to allow models to integrate new information on the fly rather than requiring full retraining cycles that can cost tens or hundreds of millions of dollars per run. A well-known obstacle called catastrophic forgetting, where models lose previously learned information when trained on new data, has limited commercial applications of the approach. Trajectory’s platform is designed to enable AI models to learn incrementally without requiring extensive retraining.

No confirmed information exists about Trajectory’s current valuation or operational traction beyond the June 2026 seed funding announcement.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our

Editorial Policy.

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