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Most SMEs have years of financial telemetry sitting in their bank accounts. The engineering problem is that this data is locked inside heterogeneous bank statement formats, PDFs and inconsistent schemas, so ingesting it into any downstream system becomes a normalization task before it becomes an analytics task.

We built Bank Recompiler as a deterministic ingestion pipeline that turns raw bank statements into a standardized, structured format. Once normalized, the output is easier to review, categorize, reconcile and route into reporting or automation workflows.

The service is free forever for SMEs. Uploaded statements are processed only for recompilation and are not stored in the system.

The parsing engine is deterministic and rule-based. It does not use generative AI, so it never synthesizes, guesses or hallucinates transaction records. Every extracted value maps directly to a field in the original statement.

AI has real uses in our systems, but financial transactions are not a place for inference. For this workload, accuracy, traceability, privacy and reproducibility are more important than adding an LLM to the pipeline.

Access the Bank Recompiler here:

https://neuralops.bond/bank-recompiler/
https://ainna.bond/bank-recompiler/

Free forever. No statement storage. No AI-generated transaction data. Built to help SMEs manage their financial data more effectively.

#SME #FinTech #BankRecompiler #BankStatement #DataParsing #FinancialData #BusinessAutomation #DataPrivacy #RuleBasedSystems #NeuralOps #AINNA
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