Every studio has the same problem: the answers are already in the system, and getting them out costs time you don't have. Season starts, the phone rings, and somebody is building a spreadsheet at 9pm.
Nimbus fixes that. It's an AI copilot built into AirStudio, wired into the same live records your team works in every day. No exports. No report requests. No waiting on the one person who knows where that screen is. You just ask.
This is not a chatbot bolted onto the side of your software. Nimbus reads your real records, acts on them with your approval, and trains your seasonal staff the way your best employee would, if your best employee could be everywhere at once at 6am on picture day.
Built on frontier AI. Nimbus runs on the most capable models in the world, the frontier systems the entire industry benchmarks against, and we move to the newest generation the moment it ships. You decide how much of that horsepower each question gets: fast and economical for the everyday stuff, or full frontier-grade reasoning when the question actually deserves it. No models to choose. No versions to manage. No upgrade project. It simply keeps getting smarter underneath you.
And it knows your studio. It remembers how you like to work. Every time we ship a new AirStudio feature, Nimbus can already use it. Nothing to configure, nothing to integrate, nothing to wait for.
This is what the power of AI looks like designed specifically for volume photography.
Ask. Answered. Done.
Start here. What Nimbus does, three things to try in your first five minutes, and where it stops.
Everyday jobs. The work people actually do with it: pulling answers out of the system, building reports and exports, drafting customer replies, and fixing the data files schools send.
Set up and manage. For administrators: who can use Nimbus, recording walkthroughs for your team, adding your own policies and guides, connecting other tools, and keeping cost predictable.
Trust and answers. What Nimbus remembers, where your data lives and who can see it, and what to do when something looks wrong.