Data Reconciliation Software for Clear, Traceable Results

Data reconciliation is the process of checking that records from different sources agree. A reconciliation tool automates that check and, just as importantly, organizes what it finds. In Reconixe, a reconciliation run:

• compares records across sources using the key you choose, such as a transaction or order reference;
• identifies keys that appear exactly once in every source;
• surfaces keys present in some sources but missing from others;
• flags ambiguous situations, such as duplicate keys, instead of guessing which record belongs where;
• keeps the evidence behind each outcome attached to the result;
• supports investigation and resolution of every exception;
• produces reports you can export and share.

The goal is not only to count differences, but to make each one understandable and traceable.

Reconixe works with structured, tabular data. Name 2–50 sources for a new reconciliation or use a saved workflow, then upload one CSV or XLSX file per source. Reconixe reads the column headers so you can choose which fields should be compared.

Files are provided by upload. Reconixe does not connect directly to databases, accounting systems, ERPs, or bank accounts; you export the data you want to compare and bring it in. If your work is mainly about comparing spreadsheet exports, our guide to CSV and Excel reconciliation walks through that workflow step by step.

Source setup and saved workflows. Name the sources for a new reconciliation, or use a saved workflow for repeat comparisons. Choose matching-key columns from each source when starting a run. Each run keeps the source configuration used for that comparison; saved-workflow runs retain their published version.

Matching rules. Matching is strict and exact by default. Advanced matching options are available on plans that include them.

Exceptions and evidence. Partial, ambiguous and missing-key results become exceptions in multi-source runs; classic runs retain their unmatched and ambiguous results. Each is shown with its source rows. Your team can open an exception, move it into review, add notes, and resolve it, with each step recorded in its history.

Saved reconciliations. Completed runs remain available in your reconciliation history, with their counts, exceptions, and review activity, so you can return to a past result instead of rebuilding it.

Many reconciliations are not one-time tasks — the same sources need to be checked every day, week, or month. Reconixe is designed for that kind of recurring reconciliation operations work:

• reusable workflows, so the same comparison runs the same way each time;
• an auditable history of runs, exceptions, notes, and resolutions;
• organization workspaces with team roles, according to your plan;
• usage tracking against your plan's monthly row allowance;
• CSV, XLSX, and PDF exports of reconciliation results.

Plan limits, such as users, active workflows, and rows processed per month, are listed on the pricing page.

A typical run follows the same sequence every time, which is what makes results comparable from one period to the next.

• Upload: add one file per declared source. Reconixe checks each file and lists its columns before anything is processed.
• Match: map a key column from every source; exact matching places every row into a result category.
• Review exceptions: partial, ambiguous and missing-key results in multi-source runs appear with the source rows that explain them.
• Resolve: your team investigates, records notes, and resolves exceptions, building a history of what was decided and by whom.
• Report: export the outcome as CSV, XLSX, or PDF for colleagues, auditors, or your own records.

Because the source configuration, input row counts, and results are stored with each run, a reviewer can later see not just the final numbers but how they were produced. Rows processed across all source files count toward your plan's monthly allowance; the number of runs itself is not a plan quota.

Spreadsheets are flexible, but they were not designed to hold a controlled, repeatable comparison. Formulas are easy to break, differences are often marked with colour rather than recorded, and the reasoning behind a resolved difference usually lives in someone's memory or inbox.

A reconciliation platform separates the rules from the data, keeps every exception as a record in its own right, and ties decisions to the evidence they were based on. Access is limited to members of your organization, with roles controlling who can manage workflows, billing, and team membership.

Reconixe includes two AI features, both designed to help people rather than act on their behalf.

Customer AI Support answers product and plan questions using Reconixe's Help Center content, and can help you turn a question into a support ticket.

The AI Exception Explainer offers a suggested explanation of a single exception, grounded in the evidence visible for that exception. It is read-only: it cannot resolve exceptions, change records, or add notes.

AI output can be wrong, so explanations should always be checked against the underlying evidence. Decisions about how an exception is resolved stay with your team.

Reconixe is industry-neutral. It suits any team that regularly needs to compare structured files and account for the differences — for example, teams reconciling:

• operational exports from internal tools;
• payment files against internal order or invoice records;
• settlement files against expected transactions;
• transaction reports from different sources;
• internal data exports before and after a migration;
• files received from partners against your own records.

These are examples of the kinds of data teams upload, not built-in integrations. If the data can be exported as CSV or XLSX, it can be reconciled.