A loan officer uploads a bank statement. In 10 minutes, Parity returns a classified, reconciled, auditable financial profile they can defend to any credit committee.
Creating the financial language for emerging markets — no black box, every output open, deterministic, and sealed.
From raw bank statement to certified benchmark percentile — every step deterministic, every output independently verifiable.
Every transaction mapped to 1 of 27 financial roles. Keyword + direction + threshold + pattern. Integer arithmetic only. No rounding, no ML inference anywhere in the pipeline.
Query the classified record by type: computation, classification, pattern. Every answer source-attributed. Analyst overrides logged, system learns, never repeats the same error.
Every deal benchmarked against a sealed, hashed peer cohort. Income quality, obligation behaviour, entity concentration — independently verifiable by any co-investor or DFI.
Cross-deal entity networks. Sector alpha. Behaviour pattern clusters. The knowledge compounds — each resolved classification feeds the corpus, raising accuracy for every institution.
Most financial analysis tools guess. When they are uncertain, they pick the most likely answer and move on. Parity does not guess — ever. If a transaction cannot be classified with certainty from direct evidence, it surfaces as needs_review with a specific, honest reason. That is not a limitation. It is the foundation of a decision any credit committee can defend.
Capital decisioning in emerging markets defaults to inductive reasoning — a decade of expertise locked in one analyst's head, untransmissible, impossible to validate at scale.
Parity's formal ontology is the project of making that knowledge deductive. Every classification either has direct keyword evidence — certain — or surfaces as needs_review with an honest, specific reason. No false confidence anywhere in the pipeline.
When Parity seals a benchmark, it produces a cryptographic hash of the entire classified dataset. Any co-investor, DFI, or auditor can verify that reported percentiles were computed against an unaltered, sealed population.
No account needed. No entity data exposed. A hash match confirms the analysis — full stop.
When a fund shares a Parity certificate with a co-investor or DFI, that investor can verify the entire analysis was run against an unaltered dataset — without seeing a single borrower name or transaction detail.
Seven bank parsers live in Kenya. Four markets opening through 2026 with on-premise architecture ready for data-sovereign environments.
Operators who have spent careers inside African financial infrastructure — building it, breaking it, and understanding where it fails borrowers.
We work directly with credit funds, DFIs, and debt platforms that want to deploy Parity across their deal pipeline. If you are evaluating Parity for institutional use, start here.
Send us one of your bank statements. We'll classify it, reconcile it against your declared applications, and show you the results in 10 minutes — on your actual data, not a demo dataset.