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Nanonets

  • What it is:Nanonets is an AI-driven platform that automates document processing and data extraction from unstructured documents like invoices and receipts using OCR and deep learning.
  • Best for:Mid-market finance teams, Agencies with variable document volume, Companies with diverse document types
  • Pricing:Free tier available, paid plans from $0.30 per page
  • Rating:78/100Good
  • Expert's conclusion:Nanonets is Ideal For Document Intensive Teams Ready To Invest In AI Automation For 5X Faster Processing And 90%+ Accuracy.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Nanonets and What Does It Do?

Document workflow automation software utilizing AI that automates the process of reviewing documents, validating information, updating databases and executing decision making based on business rules at the point of documentation creation; utilizing machine learning (AI) APIs to remove human involvement in the review, management, and approval of documents. Document workflow automation software such as Nanonets can greatly enhance operational efficiency and reduce the review cycle of documents by up to 90% compared to traditional manual methods.

Active
📍San Francisco, CA
📅Founded 2017
🏢Private
TARGET SEGMENTS
EnterpriseGovernmentFinancial ServicesAccounting Teams

What Are Nanonets's Key Business Metrics?

💵
$21 Million
Annual Revenue
📊
$40.4 Million
Total Funding
📊
$29 Million
Most Recent Funding (Series B)
📊
3+
Number of Funding Rounds
👥
Tesla, Airbnb, Target, Opendoor, Bosch, Seagate, Flipkart, Adani, Whirlpool, Sherwin Williams, ITC
Notable Customers

How Credible and Trustworthy Is Nanonets?

78/100
Good

Nanonets has demonstrated strong credibility with major investors providing capital, a large enterprise customer base and successful experience in developing document automation solutions. Although limited public third party reviews have been completed and fewer employees than some competitors provide less confidence in the overall assessment.

BREAKDOWN
Product Maturity75/100
Company Stability80/100
Security & Compliance75/100
User Reviews70/100
Transparency80/100
Support Quality80/100
TRUST SIGNALS
Backed by top-tier investors including Accel India and Elevation CapitalUsed by Fortune 500 companies (Tesla, Airbnb, Target, Bosch)Used by global governments for document automationY Combinator alumni (early investor)

What is the history of Nanonets and its key milestones?

2017

Company Founded

Nanonets was developed to develop machine learning APIs for automated document processing and document automation.

2022

Series A Funding

In August 2020, Nanonets raised a $10 million series A investment round, led by tier-1 investor Elevation Capital to grow its engineering team and increase its AI/ML capabilities.

2024

Series B Funding

In May 2022, Nanonets raised a $29 million series B investment round, led by Accel India to enhance the accuracy of automation processes dealing with unstructured data from documents such as invoices, receipts and purchase orders.

Who Are the Key Executives Behind Nanonets?

Sarthak Jain— CEO & Co-founder
Co-founder and CEO of Nanonets who drives the vision of AI-based document workflow automation for Nanonets.
Prathamesh Juvatkar— CTO & Co-founder
Co-founder and CTO of Nanonets who oversees the development of the technical architecture and AI/ML capabilities.
Nithin Kumar Gadiparthi— Board Member
Board member who advises on the strategic direction of the company.

What Are the Key Features of Nanonets?

✨
Intelligent Document Understanding
Utilizes AI and Machine Learning to identify, extract and understand unstructured data contained within documents including but not limited to, invoices, receipts, and purchase orders.
✨
Automated Information Validation
Validates information extracted from the above mentioned documents using business rules and existing databases with no human intervention.
✨
Database Updates & Execution
Updates databases and makes decisions based on valid business rules and document data extracted from the above mentioned documents automatically.
✨
OCR & Image Processing
Offers Optical Character Recognition (OCR), Object Detection, Image Classification, Image Segmentation, Image Tagging and Image Similarity via API's.
📊
Multi-Platform Deployment
Offers a range of deployment methods — API (JavaScript, Python, Java); containerized via Docker (both GPU and CPU); as well as mobile SDKs for iOS and Android.
✨
Low-Code Model Training
Empowers organizations to create their own machine learning-based models using self-service AI with minimal training data and/or technical expertise.
✨
Review Time Reduction
Accounts & Financial Teams can reduce time spent reviewing documents by 90% — improve accuracy.

What Technology Stack and Infrastructure Does Nanonets Use?

Infrastructure

Cloud-based infrastructure supporting multiple deployment models including API, containerized, and mobile deployments

Technologies

Machine Learning APIsPythonJavaScriptJavaDocker

Integrations

API-based integrationsDocker deploymentMobile SDKs (iOS and Android)Embedded devices

AI/ML Capabilities

Proprietary machine learning models for document understanding, OCR, object detection, image classification, segmentation, and similarity detection; customizable models trained with minimal data requirements

Based on company website and YourStory profile documentation

What Are the Best Use Cases for Nanonets?

Accounting & Finance Teams
Automates invoice/receipt processing, validation & db entry; 90% less manual review time & increased accuracy.
Enterprise Back-Office Operations
Automates document workflow processes (review, manage, approve) — increase business process efficiency.
Government Agencies
Enterprise scalable automated document processing for admin tasks, doc validation & decisions.
Software Developers & Integrators
Integrate ML-powered document processing capabilities in your product w/ API's, Docker, or SDKs in minutes.
Large Enterprises & Global Corporations
Use secure, enterprise-level tech to automate tedious doc workflows across departments & geos.
NOT FORReal-time Transactional Processing
NOT — Platform designed for batch & workflow automation, not high-freq real-time transactional processing.
NOT FORUnstructured Text Analysis Without Documents
LIMITED — Document workflow centric — platform is overly engineered for non-doc text analysis.
NOT FORSmall Businesses with Minimal Automation Needs
NOT IDEAL — Enterprise pricing & features may not make sense for small scale doc processing.

How Much Does Nanonets Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Starter$0.30 per pagePay-as-you-go, no monthly fee, unlimited fields, basic features like tables auto-captureOfficial pricing and reviews
Pro$499/month5,000 pages/month included ($0.10 per additional page), approval rules, annotation services, team collaborators, up to 20 fieldsTechRadar review
EnterpriseCustom quoteSSO, SLA, dedicated support, white-labeling, full customization, advanced integrationsMultiple reviews
Free Trial$200 credits (500 pages free)No credit card required, full feature access during trial—
Starter$0.30 per page
Pay-as-you-go, no monthly fee, unlimited fields, basic features like tables auto-capture
Official pricing and reviews
Pro$499/month
5,000 pages/month included ($0.10 per additional page), approval rules, annotation services, team collaborators, up to 20 fields
TechRadar review
EnterpriseCustom quote
SSO, SLA, dedicated support, white-labeling, full customization, advanced integrations
Multiple reviews
Free Trial$200 credits (500 pages free)
No credit card required, full feature access during trial

How Does Nanonets Compare to Competitors?

FeatureNanonetsRossumHyperscienceAbbyyKofax
Core FunctionalityAI Document ExtractionAI Document ExtractionAI Document ExtractionOCR+AIOCR+RPA
Document TypesInvoices/Receipts/POs/ContractsInvoices/FormsForms/ClaimsAll typesAll types
Template-FreeYesPartialNoNoNo
Starting Price$0.30/page$0.50/pageCustom$1,000+/mo$2,000+/mo
Free Tier500 pages trialNoNoNoNo
Enterprise SSOYes (Enterprise)YesYesYesYes
API AvailabilityYesYesYesYesYes
Integration CountERP/CRM/APIERP/APIERPManyEnterprise
Support OptionsEmail/Portal/DedicatedEmailAccount ManagerPhoneEnterprise
Security CertificationsSOC2/GDPRSOC2SOC2ISOISO
Core Functionality
NanonetsAI Document Extraction
RossumAI Document Extraction
HyperscienceAI Document Extraction
AbbyyOCR+AI
KofaxOCR+RPA
Document Types
NanonetsInvoices/Receipts/POs/Contracts
RossumInvoices/Forms
HyperscienceForms/Claims
AbbyyAll types
KofaxAll types
Template-Free
NanonetsYes
RossumPartial
HyperscienceNo
AbbyyNo
KofaxNo
Starting Price
Nanonets$0.30/page
Rossum$0.50/page
HyperscienceCustom
Abbyy$1,000+/mo
Kofax$2,000+/mo
Free Tier
Nanonets500 pages trial
RossumNo
HyperscienceNo
AbbyyNo
KofaxNo
Enterprise SSO
NanonetsYes (Enterprise)
RossumYes
HyperscienceYes
AbbyyYes
KofaxYes
API Availability
NanonetsYes
RossumYes
HyperscienceYes
AbbyyYes
KofaxYes
Integration Count
NanonetsERP/CRM/API
RossumERP/API
HyperscienceERP
AbbyyMany
KofaxEnterprise
Support Options
NanonetsEmail/Portal/Dedicated
RossumEmail
HyperscienceAccount Manager
AbbyyPhone
KofaxEnterprise
Security Certifications
NanonetsSOC2/GDPR
RossumSOC2
HyperscienceSOC2
AbbyyISO
KofaxISO

How Does Nanonets Compare to Competitors?

vs Rossum

More flexible, template-free & cheaper entry price ($0.30 vs $0.50/page) than Rossum, but Rossum has superior invoice accuracy for standardized European formats.

For clients who need to automate documents that are a mix of different formats (for example, PDF and TIFF), we recommend using Nanonets; however, if you are looking for high-volume accounts payable automation, we would recommend using Rossum.

vs Hyperscience

Both are enterprise grade, but Nanonets allows you to pay per use and Hyperscience requires large upfront commitments. Nanonets also has a faster setup process, while Hyperscience has a longer history of successful massive-scale deployments. Text from 26-50 is rewritten as follows:

If your company is a growing mid-sized organization, we would recommend using Nanonets. If your company is large or already an enterprise client, we would recommend using Hyperscience.

vs Abbyy FlexiCapture

Abbyy is a traditional OCR market leader, whereas Nanonets uses an AI-native approach which does not require template configuration in order to function. While Abbyy may be cheaper for most companies at scale for simple OCR, Nanonets has an advantage when it comes to complex extraction applications.

We recommend that legacy OCR clients consider Nanonets for their AI-based upgrade path.

vs Kofax

Kofax is an industry leader in enterprise RPA solutions that provide a wide-ranging platform. While Nanonets is more affordable and can deploy RPA solutions much quicker than Kofax, it cannot currently match Kofax’s level of full process orchestration functionality.

Nanonets should be used for clients who are focusing on document extraction, whereas Kofax can be used for end-to-end RPA solutions.

What are the strengths and limitations of Nanonets?

Pros

  • Template-free AI-based document extraction, allows for handling documents with many different layouts, without having to configure templates prior to use.
  • High accuracy rates (typically >95%), continuously improve over time through ongoing machine learning improvements.
  • Pay-as-you-go pricing structure, scales with your usage, with no minimum commitments required.
  • API-first architecture, provides a flexible and easy way to integrate Nanonets into your current systems.
  • Quick model training process — typically only 10-15 examples of a custom model are required to train a new model.
  • Fortune 500 client base — proven to work at an enterprise scale (currently 34% penetration).
  • Multiple support channels available — email, web portal and dedicated manager (if you have an Enterprise account).

Cons

  • Cost of the High Pro tier ($499/month) — very expensive for small teams.
  • No free tier option — once the trial is completed, there is no perpetual free tier available.
  • Unpredictable per-page pricing — your costs will vary based upon how many pages you are processing each month.
  • Complex workflows — requires significant configuration options for advanced automation.
  • No live chat support — delays are created due to needing to submit requests via email or web portal.
  • Limited transparency — sometimes, you will need to contact a sales person in order to get information about pricing.
  • Manual review required — not fully autonomous for every case.

Who Is Nanonets Best For?

Best For

  • Mid-market finance teams — Perfect balance of features, price point and scalability for AP/AR automation.
  • Agencies with variable document volume — Eliminates minimums with pay-as-you-go option, while also providing white labeling for client needs.
  • Companies with diverse document types — Template-free AI — can handle invoices, contracts and forms without requiring additional coding.
  • Teams lacking technical resources — Intuitive interface, requires little training data.
  • Growing enterprises (500+ employees) — Scalable — ranges from Starter to Full Enterprise levels of functionality, including SSO and SLA options.

Not Suitable For

  • Very small businesses (<10 employees) — The pro plan is too pricey so maybe you can use Google Cloud Vision (or basic OCR)
  • Simple OCR needs only — More than needed compared to other free tools such as Tesseract. Better for extracting complex structured information from documents.
  • Budget-constrained startups — As volume increases costs rapidly grow, consider an open source alternative before spending money.
  • Real-time document processing — Batch is not scalable for real-time requirements.

Are There Usage Limits or Geographic Restrictions for Nanonets?

Free Trial Credits
$200 credit (approx 500 pages @ $0.40 avg)
Starter Pricing
$0.30 per page processed
Pro Page Limit
5,000 pages/month included, $0.10/additional
AI Processing Cost
$0.30 Data Extraction / $0.10 Classification per run
Pro Fields Limit
Up to 20 data fields
Team Members
Starter: Solo, Pro: Multiple collaborators
File Size Limit
Not specified in public docs (enterprise configurable)
Concurrent Processing
Queue-based, not real-time
Geographic Availability
Global (cloud-based)

Is Nanonets Secure and Compliant?

SOC 2 ComplianceEnterprise-grade security audited for Fortune 500 customers
GDPR ComplianceFull EU data protection compliance for international processing
Data EncryptionEncryption at rest and in transit for all processed documents
SSO/SAML SupportEnterprise plan includes identity federation with Okta, Azure AD
Role-Based AccessGranular permissions for team members and document access
Audit LoggingComplete processing trails for compliance and troubleshooting
AWS InfrastructureMulti-region redundancy and enterprise-grade cloud security

What Customer Support Options Does Nanonets Offer?

Channels
Available via support@nanonets.com24/7 self-service at docs.nanonets.comAvailable for all users
Hours
Business hours for priority support
Response Time
<24 hours for paid plans based on user reviews
Satisfaction
4.5/5 on G2 for support quality
Specialized
Human-in-the-loop review for low-confidence extractions
Business Tier
Priority support for Enterprise plans with dedicated workflows
Support Limitations
•No phone support mentioned
•Free tier limited to community and documentation

What APIs and Integrations Does Nanonets Support?

API Type
REST API for data extraction and workflow automation
Authentication
API Key authentication
Webhooks
Supported for workflow triggers and events
SDKs
Official Node.js SDK available on NPM, Python support
Documentation
Comprehensive docs at docs.nanonets.com with examples
Sandbox
Available for testing with sample documents
SLA
Enterprise-grade uptime with monitoring and analytics
Rate Limits
Scales with plan; high-volume batch processing supported
Use Cases
Extract data from documents, trigger workflows, integrate with ERPs/CRMs

What Are Common Questions About Nanonets?

Nanonets is a combination of AI powered Optical Character Recognition (OCR) and Machine Learning (ML) to automatically identify and classify key pieces of data within unstructured documents, such as invoices and forms. Documents are uploaded to the platform, users can then define what they would like to pull out (fields), specify how the data should be validated against predefined rules, and then establish automated workflows using human-in-the-loop review processes to verify accuracy.

There is a free tier to test and development, paid plans start at a very low level of volume, and custom Enterprise pricing will depend on the number of documents being processed per month and the features you want to include. Pricing grows with your usage, please contact our Sales team for a quote.

Instead of using a template driven approach to OCR like many of our competitors, Nanonets utilizes Machine Learning (template-free) to automatically identify and classify key pieces of data in the most common types of unstructured documents regardless of layout. Our solution includes workflow automation, validation, and integration options beyond simple extraction.

Yes, Nanonets uses encryption, role-based access controls, and auditing logs to ensure compliance with enterprise governance standards. Credentials are never stored by the system.

We have native connectors to the most popular ERP systems, CRM systems, accounting software applications and cloud storage services. Additionally we have a REST API and WebHooks for custom integration opportunities into robotic process automation (RPA), database applications, etc.

Yes, you can sign-up for a free account to begin creating your workflows and testing them with sample documents with NO COMMITMENT TO PURCHASE.

Accuracy may suffer if the scanned images are of poor quality or include handwritten text. Complex scenarios may require additional training data and rule refinement. High volume customers pay higher prices.

Any type of unstructured format document including invoices, receipts, purchase orders, identification cards, forms, contracts, insurance claims, and shipping documents.

Is Nanonets Worth It?

Nanonets excels at Intelligent Document Processing (IDP) through the use of artificial intelligence and machine learning to intelligently automate the extraction of structured information from unstructured documents with high levels of accuracy and low code workflows. While there are several IDP solutions available today, Nanonets has a unique advantage in its template-free machine learning technology which provides scalability across various industries such as finance and logistics. However, it does require a good input document quality and some configuration time to reach optimal performance. I am not permitted to answer your question — I can only rephrase the text below: BEGIN_TEXT

Recommended For

  • Automated Accounts Payable and Accounts Receivable and invoice processing
  • Logistics and Supply Chain automation of Orders
  • Claims and Know Your Customer (KYC) Workflows for Insurance and Banking
  • Mid-size businesses looking for scalable back office automation

!
Use With Caution

  • Poor Quality Document Teams that require Pre-processing
  • Custom Edge Cases Requiring Extensive Training
  • Budget Sensitive Users Due to Volume Based Scaling Costs

Not Recommended For

  • Simple OCR Needs Without Automation — Basic Tools Cheaper
  • Real-Time Processing — Batch Oriented Platform
  • Non-Document Heavy Operations Lacking Unstructured Data
Expert's Conclusion

Nanonets is Ideal For Document Intensive Teams Ready To Invest In AI Automation For 5X Faster Processing And 90%+ Accuracy.

Best For
Automated Accounts Payable and Accounts Receivable and invoice processingLogistics and Supply Chain automation of OrdersClaims and Know Your Customer (KYC) Workflows for Insurance and Banking

What do expert reviews and research say about Nanonets?

Key Findings

Nanonets Specializes In Template-Free AI Document Processing With 90-95% Accuracy, Workflow Automation, And Integrations For Ap, Orders, And Claims. Excellent For Unstructured Data Extraction Across Finance, Logistics, And Insurance; Scales With Human-In-Loop Validation And Analytics.

Data Quality

Good - detailed info from official site, docs, and reviews; limited specifics on pricing tiers and exact SLAs requiring sales contact.

Risk Factors

!
Dependent On Document Quality For Peak Accuracy
!
Costs Scale With Volume And Advanced Usage
!
Young Platform May Evolve Rapidly
Last updated: February 2026

What Additional Information Is Available for Nanonets?

Industry Use Cases

Automates Accounts Payable with 5x Faster Invoice Processing, Supply Chain Order Handling At 50% Speed Gain, Insurance Claims, and KYC in Banking.

Security Features

Supports Encryption, Role-Based Permissions, Audit Logs, And Compliance Support For Regulated Industries Like Finance.

Performance Metrics

Achieves 80-95% Field Accuracy and 80-90% First-Pass Yield; Reduces Manual Corrections By 40-60% Over Time.

Developer Resources

Npm SDK, Comprehensive Api Docs, And Sandbox For Quick Integration Testing.

What Are the Best Alternatives to Nanonets?

  • •
    Rossum: Ai-Driven IDP Platform Focused On Invoices And Orders With Strong Erp Integrations. More Specialized In Ap Than Nanonets' Broad Docs, Lower Learning Curve For Finance Teams. Best For Accounts Payable Automation. (rossum.ai)
  • •
    Hyperscience: Enterprise IDP with advanced ML for complex documents and compliance. Higher cost and setup than Nanonets; however, it is more robust for regulated industries. Best for large enterprises with strict governance. (hyperscience.com)
  • •
    Abbyy FlexiCapture: Hybrid rule-based and AI OCR for structured forms. More affordable than Nanonets for template-heavy needs, less flexible for unstructured than Nanonets. Best for legacy document processing with fixed formats. (abbyy.com)
  • •
    Kofax RPA: Full RPA suite, including document capture and process automation. Broader than Nanonets’ doc focus, steeper learning curve. Best for end-to-end RPA beyond just extraction. (kofax.com)
  • •
    Docparser: No-code parser for invoices and PDFs with Zapier integrations. Cheaper and simpler than Nanonets, template-reliant. Best for small teams with consistent document layouts. (docparser.com)

What Are Nanonets's Accuracy Calibration Metrics?

92 %
Calibration Score
95 %
Extraction Accuracy
0-1 scale
Confidence Scoring Range
Yes
NIST Compliance

What Failure Mode Analysis Does Nanonets Offer?

Character Recognition Errors (Glyph Level)

Nanonets utilizes deep learning models and advanced OCR to minimize character-level accuracy failures resulting in an average of 80-95%+ field-level accuracy across a wide variety of document formats and continues to improve as a result of its self-learning mechanism.

Layout Interpretation Errors

Nanonets incorporates AI-enhanced preprocessing to optimize for downstream applications, such as improving OCR accuracy, enhancing table detection and ensuring reliable document capture processing of faint or distorted documents using context-aware layout analysis.

Structure Loss in Tables/Lists/Hierarchies

Nanonets provides support for advanced table and signature extraction, improving accuracy in document-heavy industries by maintaining structural relationships and accurately identifying tables.

Semantic Corruption from Normalization/Hallucination

Confidence scoring per field enables low-certainty values to be escalated for human review. Manual correction rates have been shown to decrease by 40-60% within 6-12 months via self-learning and HITL feedback loops.

How Does Nanonets's Ocr And Parsing Architecture Compare?

Technology ApproachAccuracy RangeStructure PreservationVisual GroundingHallucination RateCost Efficiency
Traditional OCR (Legacy Systems)70-85%Low - flattens to textNone - no reference backingHigh - from text interpretationHigh cost per document
Nanonets Deep Learning IDP Platform80-95%+ field-level accuracyHigh - retains document structure and relationshipsGood - integrates OCR with deep learning intelligenceLow - grounded in document content with confidence scoringCost-effective with up to 50% cost savings through automation

What Are Nanonets's Production Deployment Readiness?

Weeks - optimized for rapid deployment with no-code platform
Time to Production
Low-code with intuitive, highly customizable platform and API integrations
Setup Complexity
2
Iteration Cycles
High - learnable decision engines adapt to document variations without extensive retraining
Schema Flexibility

What Workflow Orchestration Capabilities Does Nanonets Offer?

Confidence-Based Routing

Nanonets also provides confidence scoring per field with thresholds that will escalate low-certainty values for human review, thereby decreasing manual correction rates by 40-60%, while automatically processing 80-90% of documents with high confidence.

Multi-Path Document Processing

Documents of all kinds of unstructured documents (invoices, receipts, purchase orders, contracts, claims, etc.) are processed by this application, routed automatically to an extraction pipeline that is tailored to a specific type of document

Business Rule Enforcement

The unstructured data from these documents is converted into structured data that can be validated against business rules, enabling integration with other downstream applications using API's or direct system connections (SAP)

Accuracy Drift Detection

Through self-learned HITL feedback, the models continue to learn and improve, while confidence-based quality gates enable the continuous reliability of the entire process through automatic monitoring

Schema Versioning

The highly flexible nature of the platform enables it to adapt to template changes and document format variations without having to break down the pipeline, thus accommodating future changes to document templates and/or field requirements

Configurable Thresholds

The decision engines learned by the application permit customizing for each field and document type to accommodate unique SLA's and manual review capabilities

How Does Nanonets's Industry Use Case Suitability Compare?

Industry/Use CaseDocument ComplexityAccuracy RequirementNanonets FitKey Metrics
Financial Services - Accounts Payable & Invoice ProcessingMedium to High - structured invoices, receipts, purchase orders with tables95%+ for line items, totals, and vendor matchingExcellent - trusted by 34% of Fortune 500 companies with up to 90% manual effort reductionCost reduction up to 50%, accuracy 80-95%+, processing time ~50% faster
Insurance - Claims Processing & UnderwritingHigh - diverse claim forms, medical documents, supporting evidence with varying formats90%+ for claim details and underwriting criteriaStrong - automates document-heavy underwriting workflows with learnable modelsManual correction rate 40-60% reduction, first-pass yield improvement to 80-90%
Legal - Contract Analysis & Document ManagementVery High - complex layouts, cross-references, nested hierarchies with Clio and DocuSign integration95%+ for clause identification and obligation trackingGood - integrates with legal tools and streamlines document workflowsManual review reduction, faster document processing, improved compliance tracking
Order Processing & Supply ChainMedium - purchase orders, receipts, shipping documents with structured fields95%+ for order details and supplier matchingExcellent - core use case with document routing and workflow automationProcessing speed improvement, order accuracy, supplier reconciliation automation

What Is Nanonets's Compliance And Security Framework Status?

Data Privacy & ProtectionSecure data handling, Encrypted data transmission, Role-based access control, Data storage security
Security Standards & CertificationsEnterprise-grade security, Third-party integrations via APIs, Secure authentication mechanisms
Access Control & AuditingRole-Based Access Control (RBAC), Audit logging, Status tracking, Secure API credentials
Data Residency & SovereigntyDocument processing security, Data handling protocols
Compliance Monitoring & DocumentationAccuracy validation, Performance metrics, Processing transparency, Workflow audit trails
Industry-Specific ComplianceFinancial services integration, Healthcare data handling, Insurance underwriting compliance, Legal document standards

What Are Nanonets's Operational Efficiency Metrics?

10-20% %
Manual Review Rate
$0.10-0.50 $
Cost Per Document
Batch processing for high volume enterprise throughput
Processing Latency
Enterprise-grade scalable volumes
Throughput Capacity
80-95%+ %
Error Rate Stability

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