Epismo OS
Freemium
Teams using multiple AI tools on the same tasks
Most AI document tools pass the demo — and break the moment a vendor sends an invoice in a format the model hasn't seen, or a PO match fails with no rule to catch it. Nanonets is built around the argument that the edge case, not the clean case, is where production workflows actually live.
The platform layers document extraction, a rule-encoding structure the vendor calls a context graph, exception handling, and ERP posting into a single agent loop — so invoices that arrive in any format get validated against POs, routed for approval, and posted without a person in the middle. The vendor states their OCR model ranks first on the IDP Leaderboard, ahead of GPT-5, Gemini, and Claude. Where the system earns its keep is exception resolution: when a field doesn't match, the agent checks it against your encoded rules rather than dropping it in a queue. Every decision traces back to the rule and document that drove it, which matters when an auditor asks.
Bottom line: Bet on Nanonets for high-volume AP automation where you need a traceable exception trail and direct ERP posting — but if your process lives outside finance and operations, the prebuilt agent catalog won't carry you far without significant configuration work.
Start automating immediately. No platform fees, no commitments. Pay only for what you use.
For teams processing at scale. Shared credits, premium AI blocks, and analytics included.
For large processing volumes with compliance, security, and deployment requirements.
View full pricing on nanonets.com →
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Freemium
Teams using multiple AI tools on the same tasks
Paid
E-commerce and retail businesses
Nanonets runs AI agents designed to close document-heavy business processes — invoice processing, order management, accounts payable reconciliation, supplier onboarding, and healthcare revenue cycle management — without handing exceptions back to your team. The core loop is four stages: extract data from any document format using the vendor’s OCR-3 model, resolve that data against a context graph that encodes your specific business rules and vendor relationships, handle any exception against those rules rather than surfacing it as a human task, and post results directly to your ERP or CRM.
The context graph is the feature that separates this from standard document processing pipelines. Instead of relying on a generic model to guess at approval logic, the system encodes your rules explicitly — vendor relationships, GL codes, PO matching thresholds, approval routing — so edge cases resolve the way your finance team would resolve them, and the system updates those resolutions when your team corrects one. The vendor describes this as the mechanism that allows POCs to survive contact with production volume.
Nanonets fits teams running exception-heavy, rule-bound document workflows at scale: AP departments processing millions of pages, operations teams managing order fulfillment across ERPs, or healthcare organizations automating revenue cycle steps. It fits less cleanly for teams whose processes sit outside these predefined agent types, or whose workflows require branching logic the Agent Builder’s prompt-based configuration cannot express without significant custom work. The Agent Builder lets you add steps declaratively and write prompt-based logic without coding workflow logic directly, but complex conditional branching across many steps pushes against the tool’s configuration model.
The integration catalog covers SAP, QuickBooks, Xero, Sage, Stripe, Salesforce, HubSpot, Zendesk, Google Drive, Dropbox, Box, Notion, Slack, Microsoft Teams, Gmail, Jira, Asana, and Snowflake. An API is available for custom integration. The vendor states an on-premises deployment option exists, though no downloadable binaries are surfaced publicly.
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