Cedar prepares source material for review.
Upload PDFs, spreadsheets and prior analyses. Cedar extracts candidate inputs, flags unresolved questions and keeps source references attached so a person can approve each value before it enters the model.

Cedar
Cedar is Lumecon’s AI economic analyst. It reads documents you select, proposes structured inputs, flags unresolved questions and helps explain results. Cedar Impact performs the economic calculations with approved inputs, while the person running the analysis reviews assumptions and approves the final result.

Upload PDFs, spreadsheets and prior analyses. Cedar extracts candidate inputs, flags unresolved questions and keeps source references attached so a person can approve each value before it enters the model.

Cedar proposes industry mappings and organizes inputs; Cedar Impact calculates results only after review. The same workspace then helps explain findings for a council, grantmaker or board without hiding the assumptions behind them.

Cedar works from the source material and notes available within a project. Cedar Commons keeps projects, notes and collaborators together, while project permissions define who can open and change each analysis. Larger organizations can calibrate Cedar around their terminology and reporting needs.

Economic model
Cedar organizes inputs and explains outputs. Cedar Impact performs the calculations with a deterministic input-output model and approved assumptions.
Customer data
During private beta, access, retention, deletion, AI-provider use and subprocessors are documented during procurement. Read the current security status.
Human review
Cedar helps extract, organize and classify candidate inputs from source material. Those inputs remain reviewable before they enter an analysis; once approved, Cedar Impact applies the documented methodology.
Source material, proposed inputs, assumptions and final calculations remain available for human review throughout the workflow.