Nanonets alternatives

Nanonets sells two things on one platform. "Agentic Data Extraction" reads documents with its own OCR-3 model, which Nanonets says ranks first on the IDP Leaderboard ahead of GPT-5, Gemini and Claude (its claim, not verified here). "Nanonets Agents" go further: they "read, validate, match, and post, without writing a line of glue code", are configured by uploading your SOPs and writing plain-language prompts, and "sync natively with SAP, Oracle, Salesforce, or your custom ERP". Six workflows are packaged: accounts payable, bank reconciliation, order management, cash application, supplier onboarding and claims.

The logistics page lists bills of lading, proofs of delivery, customs documents, freight invoices, packing lists and air waybills, with workflows for duty and tariff classification, carrier onboarding, bill of lading capture, proof of delivery matching and freight invoice audit. Human review is built in: "confidence scores decide when the agent acts autonomously and when it asks a human", with approval gates routed to Slack, Teams or email.

Pricing is usage-based and public as of October 2026. Starter is free to begin with $50 in credits and no card, then $100 a month; each block run costs $0.02 for simple operations, $0.10 for standard AI and $0.30 for complex AI. Growth is quoted, with up to 40% volume discount, and adds ERP and database integrations. Enterprise is custom and adds SSO, private cloud or on-premise deployment, data residency in the US, EU or APAC, and the Salesforce, SAP and Oracle connectors. Nanonets says it is used by 35% of the Fortune 500 and names Schneider Electric, Volkswagen, Mondelez, Roche and Bayer; Software Advice rates it 4.8 out of 5 on 81 reviews.

Mirage is a forward-deployed AI engineering company. Its engineers deploy agents inside the client's own ERP, TMS or estimating system and run them in production, following five steps: Observe, Map, Build, Run, Expand. At Biodéal, a purchase order goes from email to an order ready in SAP Business One in a median of 48 seconds, 2,943 orders so far, with about 7% flagged for a human check. At Transwin, manual data entry on freight documents fell 70%. A proof of concept on the client's documents comes one week after the first meeting; the first workflow is in production in 4 to 6 weeks.

This is the closest comparison on this site: both vendors' agents post to the ERP. The difference is who builds and runs them, and how they are paid for. Nanonets is a product your team configures and pays for per run; Mirage is an engineering team that maps your documents and systems, builds the agent, runs it, and charges a launch fee and a monthly subscription.

Start with who will own it. Nanonets is a good product, and like every product it needs an owner on your side: someone to configure the agent, map the fields, maintain the connectors and handle the edge cases the approval gate sends to Slack. If you have that person, start on the free credits. If you do not, Mirage's engineers are that owner.

Then the shape of the work. A standard workflow on Nanonets' list, invoices to NetSuite, PODs matched to shipments, is a shorter path on the product. A workflow specific to your operation, quotes from your rate tables, takeoff from your drawings, bids against your scope, is what Mirage is deployed on.

Then the meter. Per-run pricing is cheap to start and grows with volume and with the number of AI steps per document. A scoped subscription costs more on day one and does not move with the document count. Work out your monthly document volume and the steps each needs before comparing the two.