Aurora AI reads your projects, crew, and budgets — not the public internet. Drafts riders, RFPs, call sheets, and recaps on demand. Concert touring operations live in forty spreadsheets. We keep the canonical rider in one place and scope per-venue variants on top. No copy-paste, no lost revisions.
Streams responses. Answers stream as they generate — no waiting for the wall of text. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.
Grounded in your data. Riders, RFPs, call sheets, recaps, safety briefings — drafted from your projects, not the public internet. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.
Per-org history. Every conversation scoped to your workspace, searchable, never cross-organization. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.
Fast or deep. Pick the quick model for day-to-day, the deep one when you need reasoning — per conversation. On concerts jobs, this shows up as single-night shows, amphitheatres, arenas.
Purpose-built for Concerts, from single-night shows to stadium-scale runs. Canonical rider, per-venue overrides, shared crew pool, venue advancing, real-time box office metrics, and a field app the house staff actually wants to use.
The same primitives that ship in our Aurora AI module, applied to concerts workflows.
Answers stream as they generate — no waiting for the wall of text.
Riders, RFPs, call sheets, recaps, safety briefings — drafted from your projects, not the public internet.
Every conversation scoped to your workspace, searchable, never cross-organization.
Pick the quick model for day-to-day, the deep one when you need reasoning — per conversation.
Rate limits and budgets keep runaway usage from ever being a surprise.
Every interaction logged — who, when, which model, which data it touched.
Sign up free for small teams. Per-org pricing the rest of the way up.
One record store. Every module reads from the same truth.
Free, forever, for small teams. Per-org pricing the rest of the way up.