Former Google and Apple researchers launch Trajectory to enhance AI feedback loops
Former researchers from Google and Apple have launched a new AI startup called Trajectory. The company aims to enhance AI feedback loops through continuous learning and rapid iteration cycles. They are seeking around $50 million in seed funding to support their innovative approach to visual reasoning.
- ▪Andrew Dai and Yinfei Yang co-founded Trajectory after years at Google DeepMind and Apple.
- ▪The startup focuses on continuous learning and visual reasoning to improve AI products.
- ▪They are targeting $50 million in seed funding, potentially increasing to $55 million.
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Story provenance
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Record
| Original publisher | Crypto Briefing |
| Canonical URL | https://cryptobriefing.com/trajectory-ai-startup-google-apple-researchers/ |
| Publication time | Wed, 27 May 2026 14:33:38 +0000 |
| Retrieval time | 2026-05-27T14:38:01.327Z |
| Last seen | 2026-05-27T14:38:01.327Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Z8Zl6SqaJHIk · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Former Google and Apple researchers launch Trajectory to enhance AI feedback loops A new startup from ex-DeepMind and Apple scientists is betting that rapid iteration cycles can make AI products learn continuously, with implications for crypto's growing AI agent ecosystem. Share Add us on Google by Editorial Team May. 27, 2026 window.sevioads = window.sevioads || []; var sevioads_preferences = []; sevioads_preferences[0] = {}; sevioads_preferences[0].zone = "01f21ccf-2092-46b1-9ac7-8c44cc782e0f"; sevioads_preferences[0].adType = "native"; sevioads_preferences[0].inventoryId = "c5700508-581b-472c-8fdd-a931cdbfc8e1"; sevioads_preferences[0].accountId = "1e47efc1-ec2d-4fca-a8b9-354e249e5095"; sevioads.push(sevioads_preferences); A pair of researchers who spent years inside two of the world’s…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Crypto Briefing.