A group of former researchers from Google DeepMind, Apple, OpenAI, and Meta have launched a startup called Trajectory, which aims to build a platform enabling AI products to continuously learn and improve from real-world user interactions. The company has raised $15 million in seed funding and already works with AI-native clients like Clay and Harvey, using post-training techniques to update models as frequently as weekly based on instances where the AI falls short. While critics note this falls short of true continual learning in the traditional sense, Trajectory's founders argue it represents an early step toward AI that could eventually update in real time — every hour or even every interaction.
