AI coding tools have made shipping faster. They haven't made shipping safer. Teams are building complete features in hours with Claude, Cursor, and no-code tools like Base44 and Lovable — and shipping them to production with no framework for whether they're actually ready. The question "is this production-ready?" either gets answered by a rushed code review, answered by hope, or not answered at all.

Veriova answers that question. Teams define their production standards — the criteria every feature must meet before it ships. Any AI-built experiment gets scored against those standards instantly, with a shareable readiness card showing exactly what's ready and what still needs work. That card travels: it gets shared in Slack, sent to clients, shown to investors. It creates the conversation that replaces the rushed review.

The platform underneath Ship Check handles everything else a team shipping with AI needs: persistent shared memory so every AI session draws from the same reviewed context, knowledge sync from GitHub repos, AI Config generation, agent workflows, passive learning insights and a weekly digest, uptime monitoring for AI services and agents with multi-recipient alerts, and team collaboration so everyone works from the same context and standards without managing keys manually.