Nanonets
Nanonets is a San Francisco-based AI document processing company founded in 2017 that builds AI agents and APIs to automate document-heavy enterprise workflows such as accounts payable, order management, healthcare revenue cycle, and contracts, serving 10,000+ enterprises including roughly a third of the Fortune 500 via a proprietary OCR-3 visual language model ranked #1 on the IDP Leaderboard.
- Company typePrivate
- Founded2017
- HeadquartersSan Francisco, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Nanonets does
Nanonets is an AI-driven intelligent document processing company founded in 2017 and headquartered in San Francisco, with an additional San Francisco office at 156 2nd Street. The company builds AI agents and APIs that automate document-heavy enterprise workflows including accounts payable, order management, logistics, healthcare revenue cycle management, contract analysis, vendor onboarding, and ID and insurance processing. It serves 10,000+ enterprises globally, including roughly one-third of the Fortune 500, with named customers spanning Volkswagen, Schneider Electric, Ryanair, Roche, Bayer, Mondelez, Procter & Gamble, Publicis Groupe, PMI, Topgolf Callaway, CKE Restaurant Group, NYU Langone, and SaltPay.
The core technology stack consists of two layers: Nanonets Agents, autonomous agents running on proprietary context graphs that connect documents, systems, and business rules to close processes end-to-end (94% touchless in production), and the Agentic Data Extraction API, ranked #1 on the IDP Leaderboard and available to developers via REST with LangChain and LlamaIndex integrations. The underlying engine is Nanonets OCR-3, a 35-billion parameter Mixture-of-Experts visual language model trained on 11 million documents and benchmarked ahead of GPT-5, Gemini, and Claude on OLM-OCR (93.1), IDP Leaderboard (85.9), OmniDocBench (90.5), FinanceBench (94.5%), and DocBench Legal (96.0%). The company also ships OCR Small, a 3B-parameter compact model for on-prem edge deployment.
Nanonets operates a hybrid go-to-market combining product-led growth (free self-serve trial, no credit card required, developer API access) with enterprise field sales. Pricing combines a base subscription (Pro or Enterprise tiers) with usage-based consumption on API calls and model usage; billing is monthly in advance for Pro and annual or multi-year for Enterprise. Distribution leverage comes from official SAP PartnerEdge Build Level A certification under clean-core guidance, native integrations with QuickBooks, Xero, Sage, NetSuite, Salesforce, HubSpot, Zendesk, Snowflake, Google Drive, Dropbox, Box, Slack, Teams, Gmail, Jira, and Asana, plus open-source models on HuggingFace. Nanonets has raised approximately $40.5 million across a 2017 pre-seed, a 2017 seed, a $10M Series A in February 2022 led by Elevation Capital, and a $29M Series B in March 2024 led by Accel, and reports $100M ARR as a capital-efficient growth-stage business.
Nanonets firmographics
Firmographics- Name
- Nanonets
- Legal name
- Nano Net Technologies Inc.
- Website
- https://nanonets.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Nanonets is a San Francisco-based AI document processing company founded in 2017 that builds AI agents and APIs to automate document-heavy enterprise workflows such as accounts payable, order management, healthcare revenue cycle, and contracts, serving 10,000+ enterprises including roughly a third of the Fortune 500 via a proprietary OCR-3 visual language model ranked #1 on the IDP Leaderboard.
- Ownership category
- akta.pro rank
Nanonets industry classification
Industry- Product category
- Intelligent Document Processing
- NAICS
- Computer Systems Design and Related Services (54151)
- SIC
- Wholesale-Computers & Peripheral Equipment & Software (5045)
- akta.pro primary industry
- LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG) (HDAEANAD)
Keywords
Where Nanonets is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Nanonets business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription (SaaS): Monthly or annual subscription billed in advance based on Nanonets products in subscription, selected plan (Pro or Enterprise), number of Models used, and number of API calls made to those models. Customers are billed for overages or issued credits based on usage changes during the billing period.
- Usage-based / Consumption Billing: In addition to base subscription fees, customers are charged based on actual API usage and model consumption. Overages beyond contracted limits are billed; decreased usage may result in credits. Consumption-based billing applies to API calls and model usage.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free trial available with no credit card required. |
| Subscription | Monthly | Pro plan with base subscription plus usage-based overages. |
| Subscription | Annual | Enterprise plan with dedicated customer success manager. |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels7 records
Nanonets product offering
Product offeringCore offering
Nanonets provides AI agents that automate document-heavy business processes end-to-end (accounts payable, order management, logistics, healthcare RCM, contract analysis). Agents run on proprietary context graphs that connect every document, system, and rule, ingest any document format without templates, and post validated structured data into ERP, CRM, and EHR systems. The platform is powered by Nanonets OCR-3, a 35-billion parameter visual language model ranked #1 on global IDP benchmarks.
Product overview
Nanonets is an AI-driven intelligent document processing (IDP) platform that automates document-heavy business processes. The product portfolio consists of two main layers: (1) Nanonets Agents — autonomous AI agents that complete end-to-end workflows (accounts payable, order management, logistics, healthcare RCM, contracts) by connecting documents, rules, and enterprise systems; and (2) Agentic Data Extraction — the underlying document extraction API ranked #1 on the IDP Leaderboard that powers the agents and is available to developers via API (supports LangChain and LlamaIndex). Supporting the platform are open source models published on Hugging Face, the flagship OCR-3 visual language model (35B MoE, #1 on global benchmarks), and the lightweight OCR Small model (3B Qwen 2.5VL) for on-premise edge deployment.
Differentiator
Problem solved
Functional benefit
Products and services
- Nanonets Agents AI agents that read messy document inputs (invoices, POs, receipts, contracts, claims), apply business rules, and complete work inside enterprise systems of record. Agents run on context graphs that connect documents, systems, and rules for end-to-end process completion with 94% touchless rate. Use cases include accounts payable, order management, logistics, healthcare RCM, contract analysis, vendor onboarding, and ID & insurance processing.
- Agentic Data Extraction Document extraction API built for LLM and agent pipelines, ranked #1 on the IDP Leaderboard. Outputs markdown with JSON, preserves tables, requires no templates, offers low latency, and supports LangChain and LlamaIndex integration. Powers Nanonets Agents and is also sold directly to developers.
- Nanonets OCR-3
Quantifiable outcome
- 94% of tasks close without a human using Nanonets context graphs (vs 51% for Microsoft Copilot Studio)
- +7 more outcomes
Companies that use Nanonets
Customer profileNamed customers16 records
Segments6 records
Ideal customer profiles3 records
Nanonets technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration27 records
AI capability10 records
Feature7 records
Nanonets partnerships and signals
Strategic signalPartnerships
Nine partnerships are on record, tiered core and infrastructure.
- SAP (PartnerEdge Build)coreNanonets is an official SAP PartnerEdge Build partner. The partnership enables Nanonets agents to ingest invoices, orders, and logistics documents in any format and post validated, structured data straight into SAP S/4HANA, ECC, Ariba, and Business One via BAPI, IDoc, OData, and RFC. Certified at Level A (highest tier) of SAP's August 2025 clean core guidance using only published, SAP-certified APIs with no custom ABAP.
- Amazon Web Services (AWS)infrastructureAWS provides cloud infrastructure for Nanonets' services. Nanonets services operate on AWS with servers in their own VPC with network ACLs preventing unauthorized access.
- Google Cloud Services (GCP)infrastructureGCP is used alongside AWS for cloud infrastructure, providing disaster recovery capabilities and additional geographic coverage for Nanonets services.
- Microsoft AzureinfrastructureAzure is used as a cloud infrastructure provider for Nanonets services, part of the multi-cloud strategy.
- StripeinfrastructureStripe handles all payment instrument processing for purchase of Nanonets services. Stripe's security practices govern payment processing.
- Auth0infrastructureAuth0 provides authentication services for Nanonets, supporting SSO and SAML, OIDC, and SCIM user provisioning alongside Okta, Azure AD, and Google Workspace.
- SendgridinfrastructureSendgrid provides transactional email services for Nanonets.
- LangChaincoreNanonets Agentic Data Extraction API integrates with LangChain, enabling developers to build agentic pipelines using Nanonets document extraction capabilities alongside LangChain's agent framework.
- LlamaIndexcoreNanonets Agentic Data Extraction API integrates with LlamaIndex, enabling developers to incorporate Nanonets document extraction into LLM pipelines built on LlamaIndex.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Nanonets competitors and assessment
Company assessmentDirect peers
- Rossum: Rossum is an AI-native intelligent document processing platform focused on transactional documents (invoices, POs, bills of lading) with deep ERP integrations. It is the closest direct competitor to Nanonets in cloud-first, template-free invoice/AP automation, and is named explicitly in Nanonets' comparison pages.
- ABBYY: ABBYY is a long-established IDP and OCR vendor (FlexiCapture, Vantage) serving enterprise document automation. It is named directly in Nanonets' competitive comparison pages and competes head-to-head in AP, claims, and document classification.
- Hyperscience: Hyperscience is an AI-native IDP platform targeting enterprise document processing with proprietary ML models and a focus on accuracy in handwriting and structured forms. Competes with Nanonets in insurance, financial services, and public-sector workflows.
- Kofax (Tungsten Automation): Kofax (rebranded Tungsten Automation) is a legacy IDP/RPA vendor with deep enterprise penetration in AP, claims, and onboarding workflows. Nanonets runs explicit comparison pages against Kofax for AI-native document automation buyers.
Broad incumbents
- Amazon Web Services (Textract): AWS Textract is a managed OCR and document extraction service tightly integrated with the AWS stack (S3, Lambda, Bedrock). It is a bundled hyperscaler alternative for AWS-centric enterprises and a noted integration partner of Nanonets' infrastructure.
- Automation Anywhere: Automation Anywhere is a major RPA and AI agent platform competing across document-heavy workflows (AP, claims, onboarding). It represents a broader incumbent alternative to Nanonets for enterprises standardizing on a single automation suite.
- Microsoft (Syntex and Copilot Studio): Microsoft Syntex and Copilot Studio offer document processing and AI agent capabilities bundled with the Microsoft 365 / Power Platform stack. Nanonets explicitly benchmarks itself against Copilot Studio (51% touchless vs Nanonets' 94%), making this the most direct hyperscaler competitor.
- UiPath: UiPath is the leading enterprise RPA platform with an expanding IDP and AI agent portfolio that overlaps with Nanonets' document automation use cases. As a broader automation incumbent, it bundles document processing into end-to-end automation suites for large enterprises.
- Google (Document AI): Google Document AI provides pre-trained and custom document extraction models natively within Google Cloud, with deep Workspace integrations. It represents a bundled hyperscaler alternative for Google Cloud-anchored enterprises considering IDP.
Emerging players
- Indico Data: Indico Data offers AI-based intelligent document processing for unstructured documents in insurance and financial services. It overlaps with Nanonets on use cases like claims, contracts, and underwriting submissions, with a slightly more verticalized insurance focus.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Nanonets social profiles
Digital presenceNanonets compliance and trust
Trust signalCompliance4 records
Nanonets financial estimates
Financial estimateRevenue estimate
Valuation estimate
Nanonets leadership team
Management profileNumber of profiles
Profiles2 records
Nanonets funding detail
Funding detailFunding overview
Funding rounds4 records
Investors11 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Nanonets M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Nanonets
What does Nanonets do?
Nanonets provides AI agents that automate document-heavy business processes end-to-end (accounts payable, order management, logistics, healthcare RCM, contract analysis). Agents run on proprietary context graphs that connect every document, system, and rule, ingest any document format without templates, and post validated structured data into ERP, CRM, and EHR systems. The platform is powered by Nanonets OCR-3, a 35-billion parameter visual language model ranked #1 on global IDP benchmarks.
Is Nanonets a public or private company?
Nanonets is a private company. It is classified as venture growth investor backed and is currently operating.
When was Nanonets founded?
Nanonets was founded in 2017. It employs 101 to 250 people.
Where is Nanonets based?
Nanonets is headquartered in San Francisco, United States, in the North America region.
How does Nanonets make money?
Two revenue lines are on record. Subscription (SaaS) is the primary driver. The others are usage-based / Consumption Billing.
Who are Nanonets's main competitors?
Direct peers on record are Rossum, ABBYY, Hyperscience and Kofax (Tungsten Automation). Broad incumbents are Amazon Web Services (Textract), Automation Anywhere, Microsoft (Syntex and Copilot Studio), UiPath and Google (Document AI). Indico Data is listed as an emerging player.
Does Nanonets have an API?
Yes. Nanonets provides a document processing API that automates data extraction from unstructured documents such as invoices, receipts, purchase orders, contracts, claims, and forms, converting them into structured output. The API supports both v2 and v4 versions, offering endpoints for document ingestion, workflow configuration, model setup (Instant Learning Model, Custom Model, Pre-Built Model), data actions (formatting, lookups, math functions), approvals, and exports to various destinations. Developers can integrate via REST API, webhooks, or platforms like LangChain and LlamaIndex. Developer documentation is at docs.nanonets.com/docs/nanonets-overview.
What industry is Nanonets in?
Nanonets's product category is Intelligent Document Processing. Its primary akta.pro industry code is HDAEANAD, LLMOps & Generative AI Platforms (Prompt/Agent Orchestration, RAG). Its NAICS code is 54151 and its SIC code is 5045.