Financial Data Classification Software
Turn messy monthly finance files into report-ready categories, mapping codes, and cost allocations. Mapping Clarity classifies each row against your target taxonomy, then gives your team confidence, reasoning, and a review path before export.
1,000 free credits on signup. No credit card required.
Monthly cost rows after classification
| Source row | Mapped code | Confidence |
|---|---|---|
| Cloud backup charge - APAC project | IT Cost Pool / Storage | 92% |
| Contractor labour - capital works | Project Cost / Labour | 71% |
| Supplier invoice - facilities materials | Spend / Facilities | 88% |
Low-confidence rows stay reviewable with reasoning, corrections, and repeatable mappings.
Reports break before the report is built
Monthly finance, spend, project, and IT cost extracts rarely arrive with the categories your reporting model needs. Vendor names vary, descriptions are short, codes are missing, and rows that should land in the same bucket are spread across different worksheets, systems, and manual notes.
Mapping Clarity sits between messy source data and your report-ready categories. It maps rows to the target taxonomy you define, so analysts can spend less time rebuilding spreadsheet logic and more time reviewing the cases that actually need judgement.
A reviewable classification workflow
Use the web app, Excel/script workflow, or API depending on how your team handles recurring files.
Upload or send rows
Upload CSV/Excel data, send rows from Excel scripts, or use the REST API for developer workflows.
Choose the target
Classify against your finance categories, mapping codes, cost pools, project codes, or custom taxonomy.
Classify rows
Mapping Clarity combines pattern matching, similarity lookup, and AI reasoning where needed.
Review uncertainty
Inspect confidence and reasoning, then correct uncertain rows before relying on the output.
Export and repeat
Export report-ready classifications or consume results through the API for repeatable monthly processing.
Where finance teams use it
The same classification layer can support several recurring reporting and cleanup jobs.
Monthly finance classification
Classify ledger extracts, management reporting rows, and recurring finance files into the categories your reports expect.
Mapping codes for project cost reporting
Add missing mapping codes or project cost categories so capital and operating cost rows can roll up consistently.
IT finance and TBM cost pools
Map infrastructure, software, vendor, and service rows to IT finance categories or TBM-style cost pools. See also TBM cost allocation.
Procurement and spend classification
Classify suppliers, purchase descriptions, invoice rows, and spend lines into your procurement category tree.
Consulting and client cleanup
Standardize client data extracts against a project taxonomy, benchmarking framework, or reporting model without rebuilding the mapping process from scratch each time.
Financial data normalization
Bring inconsistent descriptions, categories, and source-system labels into a target structure that downstream reporting can use.
Designed for review, correction, and auditability
Finance classification is not useful if the team cannot understand or challenge the result. Mapping Clarity keeps confidence and reasoning visible, so users can review the rows that matter and correct classifications before they become reporting inputs.
Corrections create a repeatable mapping history for future runs. That gives recurring monthly files a more consistent path without asking teams to trust a black-box classification result.
Confidence scores
Prioritize review around low-confidence rows instead of rechecking every line item.
Reasoning
See why a row was classified into a category so reviewers can make informed corrections.
Human correction
Keep analysts in control when categories are ambiguous, incomplete, or business-specific.
Repeatability
Use reviewed mappings and audit history to make future files more consistent.
A focused layer between spreadsheets and enterprise suites
Mapping Clarity is not an ERP, EPM, procurement, TBM, or FinOps suite. It helps prepare the classified data those workflows need.
Compared with spreadsheets
Keep the flexibility analysts like, while reducing repeated lookup formulas, manual category searches, and fragile mapping tabs.
Compared with generic AI prompts
Classify against a defined target taxonomy with confidence, reasoning, correction, and repeatable outputs.
Compared with broad suites
Use a focused mapping layer when you need report-ready categories without replacing your existing finance or reporting stack.
Classify your next finance file with review built in
Start with a CSV/Excel file, an Excel script workflow, or the API. Define the target categories you need, review uncertain rows, and export clean classifications.