Nanonets Tech Stack

AI agents for document processing and workflow automation

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

Nanonets builds AI agents that extract and validate structured data from unstructured documents—invoices, POs, clinical records—and push clean output directly into enterprise systems like SAP and Salesforce. The tech stack reveals a mature automation platform: Go + Python for backend processing, React for UX, Kubernetes + Docker for orchestration, and Hugging Face for model inference. Hiring velocity is accelerating with a sales-heavy distribution (2 sales roles in the last month against 1 engineering), suggesting the product-market fit phase is shifting toward GTM scaling.

Tech Stack 23 technologies

Core StackGo Python React Cassandra Kubernetes Salesforce QuickBooks Figma ZoomInfo Node.js Docker Hugging Face TypeScript PostgreSQL Redis AWS Jest SAP SAP S/4HANA LinkedIn Sales Navigator Apollo GCP React Testing Library

What Nanonets Is Building

◆Challenges

Closing sales faster
Solving customer challenges
Manual messy time consuming work
Customer churn
Low adoption of ai platform

▲Active Projects

Machine learning demos on nanonets platform
Solution demos based on customer requirements

Hiring Activity

Accelerating5 roles · 5 in 30d

Department

Sales

Engineering

Product

Support

Seniority

Mid

Senior

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About Nanonets

Nanonets automates document-driven business processes for mid-market and enterprise customers across manufacturing, pharmaceuticals, FMCG, and chemicals. The platform combines OCR, document understanding, and workflow logic to reduce manual processing time by 95% while maintaining the accuracy required for regulated or finance-critical workflows. Products integrate with SAP, Salesforce, QuickBooks, and other downstream systems. The company operates from San Francisco with engineering and operations in India and the United States. Current pain points center on sales velocity, adoption friction within customer organizations, and competitive churn—typical signals of a product optimizing for faster buyer cycles and smoother onboarding.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2017

Hiring MarketsIndia, United States

Frequently Asked Questions

What tech stack does Nanonets use?

Go, Python, React, Node.js, and TypeScript across services; Cassandra and PostgreSQL for data; Kubernetes and Docker for orchestration; Hugging Face for ML inference; AWS and GCP for cloud infrastructure.

Does Nanonets integrate with SAP and Salesforce?

Yes. Nanonets delivers extracted and validated document data directly to SAP, SAP S/4HANA, Salesforce, and QuickBooks as downstream systems of record.

How this profile is built

Nanonets's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.