Nominal

Nominal is an AI financial data infrastructure platform built for finance teams managing complexity across multiple legal entities, currencies, and ERP systems. At its core, Nominal provides a universal financial data layer that ingests GL data from any ERP—NetSuite, Sage Intacct, QuickBooks, or custom systems—normalizes it into a consistent schema, and exposes it through a flexible API and no-code interface. The consolidation engine handles intercompany eliminations, currency translation at historical and average rates, and minority interest calculations automatically, tasks that traditionally required days of spreadsheet work. Nominal's AI assistant lets finance teams query consolidated financials in plain English, generating variance analyses, custom reports, and board-ready presentations without writing SQL or building pivot tables. The platform maintains a full audit log of every transformation applied to source data, making it easy to trace any consolidated number back to its originating transaction. For private equity firms, holding companies, and high-growth startups with complex entity structures, Nominal dramatically compresses close timelines and provides the unified financial picture needed for strategic decisions.

AI Models

Key Features

• Universal ERP ingestion normalizing data from any accounting system
• Automated intercompany elimination and multi-currency consolidation
• Plain-English financial queries across all entities
• Full audit trail tracing every consolidated figure to source transactions
• Board-ready report generation with AI narrative summaries
• Real-time consolidation updated on ERP data refresh
• Custom chart of accounts mapping across disparate ERPs

Integrations

Pricing

Pros & Cons

Related Finance / Accounting Agents