Atlas
Summary
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.
Pricing Plans
Usage-BasedLast verified 2 weeks ago- Free Tier
- $200 in credits included
STARTER
Start automating immediately. No platform fees, no commitments. Pay only for what you use.
- Free $200 in credits included
- Data extraction AI API access
- Email integration
- Cloud storage connectors
- Up to 3 users
- Community support
GROWTH
For teams processing at scale. Shared credits, premium AI blocks, and analytics included.
- Volume pricing
- Everything in Starter
- Classification AI
- Barcode & signature detection
- Generative AI blocks
- Custom Python blocks
- ERP & database integrations
- Custom integrations
- AI reporting & analytics
- Team-wide credit sharing
- Up to 40% volume discount
ENTERPRISE
For large processing volumes with compliance, security, and deployment requirements.
- Everything in Growth
- SAML SSO & SCIM
- Role-based access control
- HIPAA & SOC 2 compliance
- Private cloud / on-prem deployment
- Data residency (US, EU, APAC)
- Salesforce, SAP, Oracle connectors
- Dedicated support & SLAs
- Audit logs & SIEM integration
- Whitelabel UI
View full pricing on nanonets.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- OCR-3 extraction ranked first on the IDP Leaderboard ahead of major foundation models, which means documents arriving in non-standard formats don't silently corrupt the downstream match or post.
- Context graphs encode your specific business rules and vendor relationships rather than relying on a generic model, so approval routing and PO matching resolve according to your logic — not a best-guess average across all customers.
- Exception handling stays inside the agent loop rather than surfacing as a human task queue, which means the edge cases that kill most document automation POCs close automatically — and the system learns from any correction your team makes.
- Every decision is traceable to the rule and document that produced it, so audit requests and compliance reviews don't require reconstructing what the agent did from logs.
- Direct ERP posting (SAP, QuickBooks, Xero, Sage, and others) closes the last manual step in AP workflows, so the process runs end-to-end without a person re-keying validated data.
Cons
Sign in to edit- The prebuilt agent catalog covers AP, order management, reconciliation, cash application, supplier onboarding, month-end closing, revenue cycle management, and data extraction — and stops there. Teams automating processes outside these verticals face configuration work that the prompt-based Agent Builder does not fully abstract, and complex multi-branch logic pushes against what declarative step configuration can express without a developer writing custom tooling on top.
- The context graph delivers its value when your rules are well-defined and stable enough to encode explicitly. Organizations in early process design — where approval logic shifts weekly or vendor relationships aren't yet systematized — will spend more time maintaining the graph than the automation saves, and are better served by a lighter workflow tool until the rules solidify.
- Teams that need to self-host on local hardware for data residency reasons will find no downloadable binaries surfaced publicly. The vendor mentions an on-premises option, but if your security review requires inspecting the deployment artifact before approval, the absence of a documented self-hosted distribution path stalls the procurement process — and some teams in that situation switch to open-source alternatives like Docsumo or an internal pipeline built on open OCR models.
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About
- Platforms
- Web, Cloud
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-27T04:46:51.640Z
Best For
Who it's for
- Enterprises handling high-volume document workflows
- Teams needing rule-based exception handling at scale
- Organizations requiring auditability and compliance
- Finance and operations departments automating ERP integrations
What it does well
- Invoice processing with 3-way matching and ERP posting
- Order management and fulfillment automation
- Accounts payable and reconciliation
- Supplier onboarding and claims processing
- Healthcare revenue cycle management
Integrations
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Frequently Asked Questions
- Is Atlas free?
- Atlas has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Atlas open source?
- No — Atlas is a closed-source tool. Source code is not publicly available.
- Does Atlas have an API?
- Yes. Atlas exposes a developer API. See the official documentation at https://nanonets.com for details.
- Can I self-host Atlas?
- Yes. Atlas supports self-hosting on your own infrastructure.
- What platforms does Atlas support?
- Atlas is available on: Web, Cloud.
Hours Saved & ROI Stories Community
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Curated lists that include this category
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.