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摘要: Maxwell Zeff

Business

May 27, 2026 10:00 AM

Former Google and Apple Researchers Launch a Startup to Build AI’s Missing Feedback Loop

Trajectory is betting the rapid iteration cycle that supercharg...

正文

Maxwell Zeff

Business

May 27, 2026 10:00 AM

Former Google and Apple Researchers Launch a Startup to Build AI’s Missing Feedback Loop

Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously.

Trajectory founders, Ronak Malde (left), Michael Elabd(center), and Arjun Karanam (right).

Photo-Illustration: WIRED Staff; Courtesy of Trajectory AI

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A group of AI researchers who previously worked at Google DeepMind, Apple,

Meta Superintelligence Labs

announced on Wednesday they’re launching a new startup called

Trajectory

, which aims to help companies regularly improve their AI products by training on real-world user interactions.

Trajectory wants to build a platform for AI that can learn continuously, a capability that researchers have long held up as a major barrier to further AI progress. OpenAI, Google, and Anthropic have found success training increasingly capable versions of AI models, especially for domains such as coding, math, and science. However, these systems stop getting smarter after their training is done. While there have been some recent

breakthroughs in continual learning

, tech companies have generally struggled to make AI products that learn from their errors in real time. In December 2025 at NeurIPS, one of the largest annual AI research conferences, Turing award winner Richard Sutton argued that

continual learning is essential

for building superintelligent agents.

Trajectory has raised a $15 million seed round at a $115 million post-money valuation, led by the venture capital firm Conviction, with participation from Bessemer Venture Partners, Radical VC, and BoxGroup. Individual investors also participated in the round, including Google DeepMind’s chief scientist, Jeff Dean, as well as the so-called “godmother of AI,” Stanford professor an

来源: Brave/wired.com

采集时间: 2026-05-28 20:16:54