Projects in Aire Labs
A project is the primary workspace in Aire Labs. It brings your model’s data, scenarios, views, and history together in a single workspace. Projects belong to an organization and can only be accessed by members of that organization. A project maps to a real-world asset or initiative: a solar farm, battery storage system, hydrogen facility, or financing structure. Your organization can contain any number of projects, each fully independent with its own models, data, and history.Creating a Project
To create a new project, click the button in the top right of your organization’s workspace and give it a name. From there, you have three paths to build out your model:- Build by hand: Add blocks and terms directly using direct editing
- Build with AI: Use Project AI to help scaffold and populate your model
- Import an existing model: Work with the Aire Labs project success team to bring in an Excel or Python model—see Importing Models
Project Home
When you open a project, the project home gives you everything you need to orient and get moving:- Project description: An editable description visible at a glance—click it to edit inline
- Model stats: Term count, block count, and case count displayed upfront so you can gauge model scope immediately
- Navigation shortcuts: Jump directly to key views without hunting through the sidebar
Charts on the Overview Research Preview
You can pin saved charts directly to the project overview page as a persistent visual dashboard. Key outputs are visible the moment you open the project—no navigation required.- Add any saved chart as a widget from the overview page
- Arrange widgets by dragging them in the grid
- Charts update automatically as your model changes
- Supported chart types: waterfall, bar, line, stacked bar, tornado, KPI card
What a Project Contains
- Blocks and Terms: The hierarchical structure of your model, organized into folders (blocks) and individual variables (terms)
- Scenarios: Independent versions of your financial model—a base case and any number of variants
- Sensitivity Analysis: Tools for running and visualizing parameter sensitivity studies
- Views: Custom layouts for presenting your model data to different audiences
- Project AI: An AI assistant scoped to your project’s data
- Project History: A complete audit trail of every change made to the model
