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Patterns

Patterns provides a platform for developers to manage and deploy application configurations across various environments. It offers version control and automated synchronization for infrastructure as code definitions. This service streamlines environment parity and reduces configuration drift for modern software teams.

San Francisco, United StatesFounded 20217700+ followers
Updated 4 months ago

Funding

$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

Many companies face challenges in consolidating fragmented financial data and automating manual reconciliation processes, leading to inefficiencies and delays in financial reporting and audit preparation. This often results in increased operational costs and a higher risk of errors.

Solution

Patterns is a financial observability platform designed to streamline financial operations and reporting by automating data integration, cleaning, and categorization. The platform transforms disparate data sources into a unified data model, enabling real-time financial insights and reporting. By automating reconciliation and close processes, Patterns helps companies become audit-ready faster. The platform also features an AI analyst that automates financial reports and management discussions.

Target Audience

Patterns is designed for companies seeking to streamline their financial operations, improve audit readiness, and gain real-time insights into their financial data.

Features

  • Automated data integration from various sources, including ERP systems (Sage Intacct, Netsuite, Quickbooks, Microsoft Dynamics 365), bank accounts (Brex, JPMorgan, Mercury, Ramp), EDI providers (SPS Commerce, TrueCommerce), order/payment systems (Shopify, Square, Stripe), and inventory management systems (Fulfil, TradeGecko, Fishbowl).
  • AI-powered reconciliation and close processes that automate data collection and matching.
  • Real-time financial observability providing a single source of truth for financial data.
  • Automated financial report generation and management discussion capabilities using an AI analyst.
  • Ability to connect to data sources such as Postgres, MySQL, Snowflake, and BigQuery.
This profile is AI-generated and may contain inaccuracies.