Most enterprise AI tools hallucinate on your internal documents because they have never seen them. NotebookLM Enterprise changes the equation by grounding every answer in your actual content, inside your GCP environment.
Generated Video, Images, and Music. One API.
Veo 3 generates video with native audio. Imagen 4 renders at 2K. Lyria 3 Pro writes full songs. All on Vertex AI, all under one bill.
Google Just Open-Sourced Its Best Small Models. Now What?
Gemma 4 is Google’s first fully open-source multimodal model family, released under Apache 2.0. For ISVs, that changes the calculus on how you build and what you ship.
You Could Build Your Own Vector Search Stack. You Probably Shouldn’t.
Vertex AI Vector Search 2.0 went GA in March 2026. For ISVs building on Google Cloud, it collapses embedding pipelines, indexing, feature stores, and hybrid search into one managed service, so you can ship AI features instead of building infrastructure.
Safety Audits That Took 14 Days Now Take One Hour (AES)
AES ran more than 1,500 safety audits a year the hard way. With Anthropic’s Claude on Vertex AI, the same work now takes one hour instead of 14 days, at 99% lower cost.
The AI Pilot Trap, and How to Get Out of It
Most enterprise AI projects don’t fail because the technology doesn’t work. They fail because no one built the infrastructure to let it work at scale.
Most Enterprise AI Is Blind to 80% of Your Data
Your AI reads text just fine. It’s the contracts, recordings, and images it can’t touch that are going to cost you.