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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Nanonets

    Nanonets

    To make machine learning as ubiquitous as databases by providing an AI-powered platform for autonomous document processing and workflow automation.

    Visit Website

    At a Glance

    1Tool Listed
    3Products
    6Capabilities
    Discussions
    San Francisco, CAHeadquarters
    2017Est.
    320Employees
    $42MRaised
    Focus Areas
    Context Engineering
    AI Coding Assistants
    MCP Servers
    Connect
    Latest News
    G2 Fall 2024 Report: Nanonets emerges as the Leader in OCR industryOct 10, 2024
    Nanonets announces strategic partnership with NavLabsSep 22, 2024
    Markets
    • Finance
    • Accounting
    • Logistics
    • Healthcare
    • +2 more

    AI Tools by Nanonets

    (1)
    View Graft
    Graft tool icon

    Graft

    Codebase Context Graph CLI Tool

    Context EngineeringAI Coding Asst.MCP Servers

    Discussions

    No discussions yet

    Be the first to start a discussion about Nanonets

    Latest News

    10/10/2024

    G2 Fall 2024 Report: Nanonets emerges as the Leader in OCR industry

    nanonets.com
    09/22/2024

    Nanonets announces strategic partnership with NavLabs

    nanonets.com
    09/03/2024

    Nanonets announces strategic partnership with Credex Technology

    nanonets.com
    08/19/2024

    Nanonets Announces Partnership with Sage

    nanonets.com

    Products & Services

    3
    Nanonets AI Platform
    2017

    Core platform for document processing, OCR, and workflow automation.

    Autonomous AI Agents
    2024-03

    AI agents designed to handle end-to-end back-office operations like accounts payable and claims processing.

    Graft
    2024

    Open-source context layer and graph builder for coding agents like Claude Code and Cursor.

    Market Position

    Nanonets positions itself as an AI-first alternative to traditional OCR and manual data entry, offering autonomous agents that handle entire workflows rather than just data extraction. It competes with companies like Rossum, Hyperscience, and Automation Anywhere.

    Leadership

    Founders

    SJ

    Sarthak Jain

    Co-founder & CEO. Previously co-founder and CTO of Cubeit (acquired by Myntra). Alumnus of Indian Institute of Technology (IIT) Delhi.

    PJ

    Prathamesh Juvatkar

    Co-founder & CTO. Previously at Cubeit. Alumnus of Indian Institute of Technology (IIT) Bombay.

    Executive Team

    SJ

    Sarthak Jain

    Chief Executive Officer

    Co-founder of Nanonets and Cubeit.

    PJ

    Prathamesh Juvatkar

    Chief Technology Officer

    Co-founder of Nanonets and Cubeit.

    Board of Directors

    SJ
    Sarthak Jain
    Director
    PJ
    Prathamesh Juvatkar
    Director
    NK
    Nithin Kumar Gadiparthi
    Director

    Founding Story

    Founded by Sarthak Jain and Prathamesh Juvatkar with the vision of automating repetitive office work. The founders realized that most business data is 'trapped' in unstructured documents like PDFs and emails, and they aimed to build a frictionless platform to unlock this data using deep learning.

    Business Model

    Revenue
    Reported 10x revenue growth in the 18 months leading up to early 2022. Estimated annual revenue range of $4M to $40M according to various market intelligence platforms.

    Revenue Model

    Subscription-based model with usage-based pricing for documents processed.

    Pricing Tiers

    Starter
    Free to start

    $50 in credits, then $100/month for 100 credits. Pay for what you use.

    Growth
    Volume pricing

    Includes classification AI, barcode/signature detection, and custom blocks.

    Enterprise
    Custom

    Tailored for large processing volumes with dedicated support.

    Private

    Target Markets

    Industries & Segments
    • Finance
    • Accounting
    • Logistics
    • Healthcare
    • Operations
    • HR
    Use Cases
    • Accounts Payable Automation
    • Claims Processing
    • Order Management
    • Financial Reconciliation
    • Recruitment Workflows
    • Legal Document Analysis
    Notable Customers
    • P&G
    • Bayer
    • Roche
    • Schneider Electric

    Quick Facts

    Headquarters
    San Francisco, CA
    Founded
    2017
    Entity Type
    Inc.
    Employees
    320
    Total Funding
    $42 million
    Investors
    Accel, Elevation Capital
    Office Locations
    San Francisco
    Bengaluru

    Funding History

    Series B$29 million
    2024-03-12
    Accel
    Series A$10 million
    2022-02-16
    Elevation Capital
    SeedUnknown
    2017
    Y Combinator
    SV Angel

    History & Milestones

    2024-03-12

    Raised $29 million in Series B funding led by Accel India.

    2024-03

    Launched Autonomous AI Agents for back-office business workflows.

    2024-10

    Recognized as a Leader in the OCR industry in the G2 Fall 2024 Report.

    2022-02-16

    Raised $10 million in Series A funding led by Elevation Capital.

    2017

    Company founded in San Francisco.

    Key Capabilities

    6
    Deep Learning-based OCR
    Autonomous AI Agents
    Custom ML models without coding
    ERP and database integrations
    Generative AI blocks
    API and cloud storage connectors

    Integrations & Partnerships

    Platform Integrations

    • Sage Intacct
    • Salesforce
    • Slack
    • QuickBooks
    • NetSuite
    • Google Drive
    • Zapier

    Key Partnerships

    Sage
    Robocorp
    Servitalent

    Connect

    Website
    nanonets.ai
    GitHub
    NanoNets
    Discord
    zxmKweAA29

    AI Topics

    3

    Nanonets focuses on these topics:

    Context Engineering(1)
    AI Coding Assistants(1)
    MCP Servers(1)
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