Newsroom
One living stream across Virtual Organization, Nora, and Saga — releases, the questions customers ask, and what we learn along the way. Published once, built to be reshared.
Most AI products are a thin prompt over someone else's model. Here is how our engineering team builds full-stack applications on our own orchestration and intelligence layer — and trains real models when it matters.
Three products, one governance model. A direction is formed and tested, turned into a decision the team owns, then executed and recorded — with one audit trail running the whole length of it.
Three patterns from early customers: start with one objective, make approving fast, and let the audit trail earn trust.
Autonomy is easy to demo and hard to trust. We argue the valuable part of enterprise AI is the approval boundary, not the automation.