AI Financial Data Infrastructure

Financial data, finally connected.

Bentod turns fragmented financial data into one connected, intelligent system—linking transactions, invoices, settlements, accounts, and business entities across the systems you already use.

Financial Graph & Entity Resolution Engine
Node: customerCustomer Entity
State: Resolved & Linked
Resolved Tax ID

RC-1049281

Billing Region

West Africa / EMEA

Subsidiaries

Acme Food Services, Acme Logistics

Deterministic + Probabilistic Entity Graph
Latency: <14ms · Double-entry verifiable
01 — Fragmentation

Your financial data doesn’t speak one language.

Every system has its own format, identifier, terminology, and source of truth. Disparate schemas turn routine reconciliation into manual forensic research.

SYS_01

Bank Feeds

Format:MT940 / OFX
SYS_02

POS Terminals

Format:Terminal Batches
SYS_03

Accounting

Format:General Ledger
SYS_04

Payment Processors

Format:Settlement Webhooks
SYS_05

Enterprise ERP

Format:IDoc / NetSuite
SYS_06

Invoices & PDFs

Format:Unstructured OCR
SYS_07

Receipts & Cards

Format:Receipt OCR / ISO8583
SYS_08

Spreadsheets

Format:CSV / XLSX Dumps
Isolated ledgers, mismatched timestamps, and conflicting transaction IDs create blind spots in cash flow and unit economics.
02 — Architectural Foundation

One layer between every financial system.

Bentod sits between disparate financial sources and the downstream applications that require absolute data integrity.

Tier 01 · Ingestion & Raw Source StreamsDisparate Formats
Commercial Banks
Payment Gateways
POS Terminals
Enterprise ERPs
Accounting Ledgers
PDF Invoices
Corporate Cards
Internal SQL Feeds

Bentod Financial Data Layer

Normalizes · Resolves Entities · Reconciles · Structures

Real-time Semantic Graph
01. Parsing

OCR, ISO20022 & CSV Normalization

02. Resolution

Alias & Counterparty Matching

03. Graph

Bi-directional Node Traversal

04. Ledgering

Double-entry Verification

Tier 03 · Unified Financial OutputNormalized & Verifiable
Normalized Entity Graph
Double-Entry Audit Stream
Automated Reconciliation
Unified Cash Position
03 — Ingestion Layer

Connect everything.

Bring your financial systems together without rebuilding the stack you already have. Bentod ingests structured and unstructured records across all operational rails.

Zero core ledger migration required

Bank Open Feeds

MT940 / CAMT.053 / OFX / Plaid

Real-time sync

Payment Gateways

Webhooks / Settlement Batches

Sub-second intake

ERP & Accounting

NetSuite / QuickBooks / Xero / SAP

Bi-directional ledger

Point of Sale

Batch settlement & terminal journal

Daily automated roll

Unstructured Documents

PDF Invoices / Scan OCR / Receipts

Semantic parse

Internal Databases

Postgres / Snowflake / Custom Webhooks

Direct schema mapping
04 — Semantic Understanding

Bentod understands the messy parts.

Raw financial payloads are filled with inconsistent descriptions, cryptic bank codes, truncated names, and missing keys. Bentod extracts and standardizes every dimension.

Raw Payload → Structured Object Transformation
Ingested Raw Fragments
Bank Wire Feed

TRF-29381/NIP/CBN/ACME FOODS SERVICES/SETTLE/₦4,820,000.00

Payment Gateway

{"event":"charge.success","id":"ch_849201","amt":4850000,"fee":30000}

PDF Invoice OCR

INV #4812 | Acme Foods Ltd. | Total: ₦4,900,000 (Withholding: ₦80k)

POS Terminal Batch

TERM_BATCH_893 | POS#04 | REF: ACME-04 | ₦4,850,000.00

ERP Ledger Line

ACCT_REC_DEPT3 | JRNL_8921 | DR: CASH 4.82M | CR: AR 4.85M

Resolved Financial Object Normalized
{
  "event_id": "evt_fin_948201",
  "canonical_entity": "Acme Foods Ltd.",
  "counterparty_tax_id": "RC-1049281",
  "transaction_type": "COMMERCIAL_SETTLEMENT",
  "amounts": {
    "gross_invoice": "₦4,900,000.00",
    "processor_fee": "₦30,000.00",
    "withholding_tax": "₦50,000.00",
    "net_bank_credit": "₦4,820,000.00"
  },
  "currency": "NGN",
  "settlement_rail": "NIP_DIRECT_CLEARING",
  "reconciliation_status": "MATCHED",
  "audit_trail": {
    "bank_ref": "TRF-29381-CBN",
    "gateway_id": "ch_849201",
    "invoice_id": "INV-4812"
  }
}
05 — Entity Resolution

It knows when different records are actually the same thing.

A vendor might appear under one legal name in corporate registry filings, a shorthand on payment memos, an account number in an ERP, and a trading alias in a contract. Bentod automatically resolves them into one canonical entity.

Disparate Ingested Aliases5 Sources Detected
ACME FOODS LTD100%
Corporate Affairs CommissionPrimary Legal Name
Acme Foods99.4%
Stripe Payment DescriptionTrading Name
ACME FOODS LIMITED99.8%
Bank Wire BeneficiaryBanking Legal Alias
ACME FOOD SERVICES98.7%
Sub-merchant Terminal IDOperating Subsidiary
CUSTOMER_29831100%
Internal ERP Ledger IDSystem Key
Canonical Corporate Entity

ACME FOODS LTD.

Resolved & Verified
Corporate Tax ID

RC-1049281

Canonical Jurisdiction

West Africa / EMEA

Linked Aliases

5 Ingested Keys

Consolidated Activity Dossier
14 Invoices Linked

Total value: ₦68,420,000 across 3 subsidiaries

38 Bank & POS Wires

100% matched to legal invoice schedules

06 — Graph Semantics

Every transaction has a story.

A transaction isn’t an isolated number in a table. It is an evolving lifecycle with commercial origins, intermediate payment gateways, fees, settlement batches, and double-entry general ledger credits.

invoice

Commercial Invoice

Ref: INV-4812
Gross Total

₦4,900,000.00

VAT & Withholding

₦80,000.00

Net Payable

₦4,820,000.00

Issue Date

Mar 12, 2026

07 — Automated Reconciliation

Reconciliation without the detective work.

When amounts in your bank, payment gateway, and billing platform differ due to processing fees, withholding taxes, and timing windows, Bentod calculates the exact variance.

01 · Billing System

INV-4812

₦4,900,000

Gross billed amount to Acme Foods Ltd

02 · Payment Gateway

SETTLE_2921

₦4,850,000

₦4,900,000 gross minus ₦50,000 commercial discount

03 · Operating Bank Account

TRF-29381

₦4,820,000

₦4,850,000 payment minus ₦30,000 merchant interchange fee

Bentod Variance Explanation

Net Zero Unreconciled Balance

MATCHED & RESOLVED
Invoice terms

Commercial discount applied

-₦50,000

Payment rail

Processor gateway fee deducted

-₦30,000

Central bank rail

Settlement cycle delay

T+1 clearing

08 — Normalized Schema

From financial noise to structured data.

Bentod outputs consistent, strongly typed financial models designed for high-scale querying, automated audits, and downstream financial automation.

SCHEMA_01

FinancialEntity

Normalized company profile, tax IDs, legal aliases & jurisdiction

SCHEMA_02

CommercialTransaction

Atomic gross/net value, currency, fees, timestamps & rail IDs

SCHEMA_03

SettlementBatch

Processor batches, netting calculations & bank deposit confirmations

SCHEMA_04

GraphRelationship

Bi-directional links between entities, invoices, wires & ledger entries

SCHEMA_05

DoubleEntryJournal

Balanced debits and credits ready for GAAP/IFRS export

SCHEMA_06

DiscrepancyException

Surfaced variances, unexplained fees, and timing mismatches

09 — Developer Infrastructure

Build on a financial graph.

Access normalized financial entities and relationships through one consistent, high-performance interface. Query across payment rails, banks, and ledgers in a single API call.

// Fetch unified corporate entity with all resolved banking & tax aliases
{
  "id": "ent_acme_9921",
  "canonical_name": "Acme Foods Ltd.",
  "tax_identifier": "RC-1049281",
  "resolved_aliases": [
    "ACME FOODS LIMITED",
    "Acme Foods",
    "ACME FOOD SERVICES",
    "CUSTOMER_29831"
  ],
  "linked_accounts": 4,
  "lifetime_settlements": "₦482,910,000.00",
  "status": "verified"
}
10 — Scale & Complexity

The more fragmented the data, the more useful Bentod becomes.

Traditional financial tooling breaks down as operations span multiple subsidiaries, diverse payment rails, and global currencies. Bentod becomes more resilient as complexity compounds.

Operational Scale Simulation
14

Subsidiary Entities

9

Payment Sources

6

Global Currencies

32,000+

Daily Reconciled Records

Bentod maintains sub-second graph link traversal whether processing 20 records or 32,000+ daily settlements.
11 — Multi-Currency & Rails

Unified across global currencies and settlement rails.

Bentod standardizes cross-border transactions into canonical financial graphs while preserving original currency values, FX timestamps, and local rail clearing references.

$

USD

Fedwire / ACH

EUR

SEPA / Target2

£

GBP

FPS / BACS

NGN

NIP / Central Bank

KSh

KES

M-Pesa / RTGS

R

ZAR

SARB / RTC

12 — Applied Workflows

Built for businesses that move money.

Different operational models share the same fundamental challenge: disconnected financial data. Bentod provides the common intelligence layer across industries.

Fintechs

Multi-rail ledger orchestration & reconciliation

Marketplaces

Split payouts, vendor settlements & merchant holds

Enterprise

Multi-subsidiary intercompany financial consolidation

E-commerce

Chargebacks, cross-border gateways & fulfillment links

Restaurants

POS batch splits, delivery platforms & daily payouts

Healthcare

Insurance claims, patient co-pays & billing codes

Logistics

Freight bills, fuel surcharges & carrier payables

SaaS

Subscription billing, deferred revenue & tax reconciliation

Financial Institutions

Normalized core banking & loan servicing streams

13 — Infrastructure Positioning

The financial layer beneath the business.

Bentod sits quietly between fragmented financial systems and the mission-critical applications that need to understand them.

01 · Sources

Disparate Feeds

Bank wires, payment processors, POS terminals, PDF invoices, and legacy ERP ledgers.

02 · Bentod Core

Intelligence & Graph Layer

Connect → Normalize → Understand → Resolve → Reconcile → Structure

03 · Applications

Downstream Systems

Automated accounting, tax reporting, treasury risk management, and underwriting workflows.

14 — Intelligence Layer

AI is how Bentod understands what traditional integrations cannot.

Financial records are messy by nature: duplicated transaction memos, cryptic SWIFT references, handwritten receipts, and changing vendor names. Traditional brittle regex rules fail when formats shift. Bentod uses semantic AI models grounded in double-entry arithmetic to interpret relationships deterministically.

Incomplete Context

Infers missing merchant IDs through graph adjacency.

Unstructured OCR

Extracts tax breakdown and line items from PDF invoices.

Mathematical Proof

Every AI match is verified against ledger balance rules.

The Thesis

Financial data should be connected by default.

Bentod is building the infrastructure layer that makes it possible.

Build on better financial data.

Connect your banks, payment gateways, ERPs, and internal records into one intelligent financial graph.