Nanonets Tech Stack

AI-powered document processing and data extraction platform

Software Development San Francisco, California 51–200 employees Founded 2017 Privately Held

Nanonets automates document processing workflows using OCR and deep learning, processing invoices, contracts, claims, and unstructured forms into structured data. The tech stack—Python, Go, Kubernetes, Cassandra, PostgreSQL, Redis across AWS and GCP—reveals infrastructure built for scale; active hiring in engineering and product signals focus on handling millions of documents and optimizing model latency, while pain points around deep learning scaling and response-time optimization indicate the company is addressing performance bottlenecks in its core extraction engine.

Tech Stack 23 technologies

Core StackFigma ZoomInfo Python React Node.js Go Cassandra Kubernetes Docker Hugging Face TypeScript PostgreSQL Redis AWS Jest Salesforce QuickBooks LinkedIn Sales Navigator Apollo Git GCP React Testing Library SQL

AdoptingPython

What Nanonets Is Building

◆Challenges

Scaling to millions of documents
Optimizing response times
Scaling deep learning capabilities
Data privacy compliance
Contract negotiation complexity
Compliance tracking and audits
Engineering practices improvement
Automating internal processes
Complex sales cycles
Customer acquisition and retention

▲Active Projects

Autoscaling gpu services with kubernetes
Growth and customer acquisition strategy
Building integrations with salesforce and quickbooks
Paid media campaigns
Compliance program development
Automating internal processes
Minor feature development & bug fixes
Landing page creation and optimization
Sales collateral development
Webinar asset creation

Hiring Activity

Steady20 roles · 6 in 30d

Department

Engineering

Product

Sales

Marketing

Executive

Legal

Seniority

Senior

Mid

Junior

Staff

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About Nanonets

Nanonets is an AI-driven document automation platform founded in 2017 and headquartered in San Francisco. The company serves enterprise and mid-market customers across finance, insurance, logistics, and manufacturing—automating high-volume document workflows like accounts payable, order processing, and claims underwriting. The platform integrates via APIs into existing ERP and accounting systems (Salesforce, QuickBooks) to extract data from invoices, receipts, purchase orders, and custom forms. Current operations span 51–200 employees across San Francisco and India, with an engineering-forward org structure and active sales expansion.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Nanonets use?

Python, Go, Node.js, React, Kubernetes, Docker, Cassandra, PostgreSQL, Redis on AWS and GCP. Integrations include Salesforce, QuickBooks, and Hugging Face for model inference.

What is Nanonets working on?

Autoscaling GPU services, Salesforce and QuickBooks integrations, scaling deep learning capabilities for millions of documents, and optimizing response latencies. Also building compliance and internal process automation.