For payments engineering teams

Your team builds product. We run the recon pipeline.

End Close manages ingestion pipelines from every bank and processor, and performs automated matching with deterministic rules, so reconciliation stops competing with your roadmap.

Book a demoSee how it works

What we handle so your team doesn’t have to

File formats

BAI2, MT940, NACHA, ISO 20022, CSV and PDF, parsed and normalized before matching.

What changes forengineering teams

  • Recon off your roadmap for good

    We own the pipelines, parsers and matching rules, so reconciliation stops coming back to your backlog every quarter.

  • Feeds that keep working when banks change

    When a bank changes a file format or a processor adds a field, End Close detects it and updates the rules, instead of breaking your pipelines.

  • More time to focus on engineering

    Finance gets the data, reports and exception tools it needs directly, so ad hoc reconciliation requests stop landing in your sprints.

  • Rule changes tested before they ship

    Matching is deterministic and every rule change is back-tested against your history, so you can trust results the way you trust tested code.

How payments engineering teams use End Close

From your ledger and payment events, to every bank and processor feed, to matched results back in your stack.

Connect banks, processors and card networks once. We run the pipelines, retries and parsing, and browser agents pull files from portals with no API.

Banks
  • Chase
  • Column
  • Cross River
  • Increase
Processors
  • Stripe
  • Adyen
  • PayPal
Warehouses
  • Snowflake
  • Google BigQuery
  • Databricks
9 sources synced SyncingUpdated 1s ago

One platform from raw feed to matched record

Connect your ledger, banks and processors once. End Close runs the pipelines, matches continuously and pushes results to the systems your team already uses.

Your systems

  • Bank feeds

    • Chase
    • Column
    • Cross River

  • Processors

    • Stripe
    • Adyen
    • Dwolla

  • Internal ledger

    • Modern Treasury
    • Formance

  • ERP/​GL

    • SAP
    • Oracle
    • QuickBooks

  • Warehouse

    • Snowflake
    • Google BigQuery
    • Databricks
    • In-house
End Close

  1. Reconcile

    Match every source daily, at transaction level.

  2. Exceptions

    Agents investigate each break and log the fix.

  3. Monitoring

    Alert when money doesn’t move the way it should.

  4. Export

    Push results by API, webhook or warehouse.

Output

What finance gets

  • Reconciled ledger
  • Exported journal entries
  • Exception queue
  • Self-serve reports
  • Audit-ready close

Commonly asked questions from payments engineers

Why not build this in-house?
You can build the happy path. The cost is the edge cases and upkeep: changing bank formats, late returns, duplicate webhooks and rules nobody wants to touch.
How do we integrate?
Banks and processors connect through managed integrations, and ledger data comes in by API, file or warehouse sync. Our team owns the integration, so it isn’t a long project for yours.
Does an LLM decide which transactions match?
No. Matching is deterministic: the same inputs always give the same output. AI agents manage the rules, investigate exceptions and propose fixes, logging every action taken.
What happens when a bank changes its file format?
End Close detects the change, updates the parsing and matching rules and back-tests them, so the feed keeps reconciling instead of breaking.
How long does it take to go live?
Typically weeks. We manage the pipelines from your banks and processors, with engineering support for the integration, so your team isn’t building ingestion before you reconcile a single transaction.

Bring your messiest payments data

Send us a sample of your bank, processor and ledger data. We’ll reconcile it and walk you through every edge case it finds.

Contact us