Reconciliation Engine

Reconn

Reconn resolves bank-to-ledger reconciliation as a GPU vector + graph problem — fuzzy-matching millions of lines across timing, partials, and FX, then proposing the journal entry.

6 lettersReconciliation EngineOwned model · GPU-accelerated

Part of the Closora close

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Overview

What Reconn does

Reconn resolves bank-to-ledger reconciliation as a GPU vector + graph problem — fuzzy-matching millions of lines across timing, partials, and FX, then proposing the journal entry.

Every product in the suite shares memory, audit trail, and the verifier — composing one autonomous close function from owned models.

At a glance

  • Multi-bank bank reconciliation
  • Cash application
  • Credit-card / expense recon
Key features

Why teams deploy Reconn

How it works

Inside the workflow

Ingest

Reconn receives its inputs from your ERP, banks, or document stores in real time.

Reason

Owned, fine-tuned models make a structured, tool-callable decision with rationale.

Verify

An independent verifier gates the action against policy before anything is written.

Record

The outcome and its provenance land in the immutable audit timeline.

Specifications

Built on the NVIDIA stack

Reconn specifications
ComputeRAPIDS + cuGraph + cuVS
HardwareDGX A100 / H100
SpeedDays → minutes
ServingTensorRT match scorer
Inside the product

A look at the surface

Live view
Exception detail
Audit trail
Use cases

Where it earns its keep

Growth
$2k–$10k /mo

Reconn included with the Growth platform.

  • Unlimited agents
  • Shared audit trail
  • SSO + audit log
  • Shadow onboarding
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Related products

Pairs well with

FAQ

Reconn questions

Yes — packaged as a NIM microservice for VPC or air-gapped deployment.

Yes — each product is self-contained and can start on a single workflow without the rest of the suite.

Against a labeled benchmark with verifier catch-rate reported transparently.
Ready when you are

See Reconn on your data.

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