End Close
Stop chasing exceptions. Get numbers you trust, an audit trail that's always ready, and AI
End Close is a payment reconciliation platform for high-volume payments companies. It automates reconciliation from origination to closed books, using rules-based matching and AI agents that investigate and resolve exceptions in real time. The platform ingests and normalizes data before matching, supports exact, fuzzy, and many-to-many matching with tolerances for FX and rounding, and provides a case-based exception inbox where agents resolve straightforward breaks with a human-review trail. It offers real-time positions, complete transaction history, live balances per account, and an audit-ready record of every action.
Key capabilities include managed data ingestion from sources such as Stripe, Snowflake, BigQuery, Postgres, Google Sheets, Databricks, Hyperwallet, NACHA, bank feeds, CSV, and API, as well as exports to NetSuite, QuickBooks, and Xero. The platform includes an SQL workspace, natural-language queries, scheduled agents, AI rule suggestions, root-cause proposals, auto-resolution, historical backtesting, alerts and monitors, RBAC, SSO, a REST API, webhooks, and sandbox and production environments. Security features include AES-256 encryption at rest, single-tenant AWS infrastructure, 24/7 threat detection, and role-based access controls.
End Close is built for finance and engineering teams at payments companies that need transaction-level reconciliation at scale. The platform is offered as a managed service with white-glove support, and the company provides a pricing calculator for evaluating plans.
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