Gate AI, Explained in 90 Seconds
The short version of the most important launch in Constellation's enterprise stack. What Gate AI does, why it matters, and why verified AI runs on DAG.
Why we made this
Most people inside the ecosystem already know Gate AI is a big deal. Most people outside the ecosystem still need it explained in under two minutes, without a whitepaper, without buzzwords, and without losing the part that actually matters.
This short video is built for that audience. Share it with the person who keeps asking what DAG is actually used for.
What you will see
AI is fast. AI also lies. The problem nobody is solving at the infrastructure layer.
A verifiable trust layer for AI outputs, sitting between agents and the systems they touch.
Drop-in proxy, bidirectional scanning, inline policy enforcement, tamper-evident audit log.
F1 96.6% across 16 datasets, 1% false positive rate, head-to-head wins vs Lakera Guard.
Defense, healthcare, financial services, coding agents, enterprise AI, digital evidence.
Verified AI needs a trust anchor. That anchor runs on the Hypergraph, secured by DAG.
Where DAG fits
Gate AI is the policy and audit layer that sits in front of enterprise AI. Every prompt, every response, every tool call gets scanned, scored, and recorded.
Those records need a trust anchor that no vendor can quietly edit later. That anchor is the Hypergraph, and the Hypergraph is secured by DAG.
Verified AI runs on DAG. That is the whole point of the video.
DAGDaily
Want more like this?
Get DAGDaily's weekly breakdowns of partnerships, enterprise adoption, and market shifts — straight to your inbox.