Cedar

Cedar turns source material into reviewable economic inputs.

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.

The intake wizard on its details step, with three operations set up for a wind project.
Cedar turns source material into reviewable economic inputs.

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.

The intake wizard asking for documents, with Cedar offering to pre-fill the intake from them.
The wind project’s source documents uploading to Cedar, with a note about what to watch for. Shown with sample data.

Review mappings and assumptions before the model runs.

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.

The details step with construction, utilities and professional services each set up as an operation.
The same documents turned into operations. Cedar reports what is model ready and asks about the one figure still missing. Shown with sample data.

Keep organizational context with the project.

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. In Cedar Grove, Cedar reads the same three layers of evidence with the provenance each carries: maintained public data, Cedar collections and the records your organization governs. Larger organizations can calibrate Cedar around their terminology and reporting needs.

The Cedar Commons board, with completed analyses across an organization and the comment and Cedar activity on each.
Cedar answers from inside any project on the board: who re-ran what, how the figures moved, what a reviewer flagged. Shown with sample data.

Built for review, privacy and accountability.

Economic model

AI does not calculate impact figures

Cedar organizes inputs and explains outputs. Cedar Impact performs the calculations with a deterministic input-output model and approved assumptions.

Customer data

Terms are documented before sensitive records move

During private beta, access, retention, deletion, AI-provider use and subprocessors are documented during procurement. Read the current security status.

Human review

People approve inputs and assumptions

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.

Cedar supports each analysis while approval stays with the person running it.

Source material, proposed inputs, assumptions and final calculations remain available for human review throughout the workflow.