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Nominal

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Agentic AI accounting with autonomous agents that match, reconcile, and post journal entries.

Nominal is an agentic AI platform built specifically for accounting and financial operations, positioned as an AI-native layer over the ERP. Its agents run the work rather than just assisting, covering reconciliation, transaction matching, journal-entry automation, intercompany consolidation, close management, and reporting and variance analysis.

The agents plug into existing ERP and finance tools with no ERP changes required, and each agent owns a specific accounting decision. Outputs are drafts that require explicit human approval: agents never post entries or finalize reconciliations silently, and every recommendation carries the business logic behind it and a complete audit trail.

Nominal is designed for controllers and CFOs at mid-market and enterprise companies. It raised a 20 million dollar Series A led by Next47, with participation from Workday Ventures and others, in 2025, bringing total funding to 30 million dollars.

Vendor details

Canonical URL

https://www.nominal.so

Category

Enterprise operations agent

Company status

independent

Use cases & customers

In practice

Your team spends the first week of every month matching transactions by hand. Nominal's agents run reconciliation and transaction matching across your existing ERP, with no ERP changes required.

You won't let an AI post entries on its own, and you shouldn't have to. Nominal's agents produce drafts that need explicit human approval and never finalize a reconciliation silently.

An auditor asks why a journal entry looks the way it does. Each Nominal recommendation carries the business logic behind it and a complete audit trail, so the answer is already there.

Agentic Index coverage score

5.5 / 14 capabilities · 39%

Integrations & Tool CallingNominal plugs directly into existing enterprise resource planning and finance systems including NetSuite, SAP, QuickBooks, and Sage plus bank and credit card feeds with no system changes required, broad within finance so partial. Partial
Workflow OrchestrationNominal runs a coordinated system of specialized agents that match transactions, reconcile, consolidate, and post journal entries through the close end to end, a genuine autonomous multi agent workflow. Full
Knowledge Grounding & RAGNominal grounds its agents in company financial data, policies, and cross system dependencies and returns sourced answers to close questions, strong data grounding without citation tracked retrieval as the core, so partial. Partial
Human Oversight & GuardrailsNominal clears high confidence matches automatically and surfaces exceptions with a reasoning note for human decision before posting, bounded autonomy with human oversight at key points, so partial. Partial
Security, Identity & GovernanceNominal processes data in a secure environment and is fully SOC 1 and SOC 2 compliant, strong certification though the single sign on and access control matrix is not documented, so partial. Partial
Observability & AuditabilityNominal logs every agent action with timestamp, user, and logic history to produce a complete audit trail that satisfies SOC 1 and SOC 2, comprehensive agent action auditability, so full. Full
Memory & State PersistenceNominal operates over the accounting data store but documents no dedicated persistent cross session agent memory product, so not documented as first class. Unable to verify
Deployment & Data ResidencyNominal is delivered as a hosted cloud service with no self host or data residency option documented, so not documented as first class. Unable to verify
Prebuilt Agents, Templates & PacksNominal ships a set of productized accounting agents and apps for reconciliation, close, and consolidation rather than a browsable marketplace of cloneable agents, so partial. Partial
Triggers & Channel CoverageNominal agents operate continuously throughout the month as transactions flow in from connected systems rather than only at period end, strong feed driven triggers within a single domain, so partial. Partial
Model Flexibility & RoutingNominal runs its own agent stack with no user facing model routing, selection, or bring your own key option documented, so not documented as first class. Unable to verify
APIs, SDKs & MCP ExtensibilityNominal integrates into finance systems through prebuilt connectors but documents no public developer application programming interface, software development kit, or Model Context Protocol server, so not documented as first class. Unable to verify
Testing, Debugging & OptimizationNominal agents learn from historical data and user interactions to improve accuracy over time, a continuous learning loop, so partial. Partial
Browser & Computer UseNominal executes accounting workflows over structured financial data with no general browser or computer use capability, so not documented as first class. Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Enterprise pricing. Contact sales for a quote.

Agentic Index verified 2026-07-01

Alternatives to Nominal

The closest documented capability profiles to Nominal among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • HackerEarth5.5 / 14Matches Nominal across all 14 documented capabilities
  • ParkourSC5.5 / 14Matches Nominal across all 14 documented capabilities
  • GoodTime5.0 / 14A lighter documented profile than Nominal
  • Nexus Industrial6.0 / 14Adds documented Deployment & Data Residency
  • Rivio6.0 / 14Adds documented APIs, SDKs & MCP Extensibility
  • Tabs6.0 / 14Adds documented APIs, SDKs & MCP Extensibility

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

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