Nanit Tech Stack

Smart baby monitor with AI-powered sleep insights and video streaming

Consumer Electronics New York City, New York 51–200 employees Privately Held

Nanit manufactures connected baby monitors with machine-learning features, built on Python, TensorFlow, and PyTorch for on-device and cloud analytics. The engineering-heavy hiring profile (8 engineers, 1 dedicated AI head) and active projects around mobile firmware automation and AI services suggest a company shifting from hardware-only toward intelligent, software-driven features. Pain points around large-scale infrastructure and product launch readiness indicate they're scaling both manufacturing and cloud services simultaneously.

Tech Stack 30 technologies

Core StackSmartsheet Rust Python TensorFlow PyTorch NetSuite SAP Tableau Looker Power BI Zendesk Shopify Microsoft Project Google Workspace Appium Pytest CI/CD iOS Android Excel Google Sheets SQL Instagram TikTok LinkedIn Substack Kustomer Celigo Meta

What Nanit Is Building

◆Challenges

Cross-functional alignment
Expanding automation coverage
Forecasting accuracy
Complex engineering challenges
Acquisition and revenue growth
Large-scale infrastructure challenges
Product launch readiness
Dependency management
Scalable and efficient pipelines
Improve product performance

▲Active Projects

New product launches
Hardware development lifecycle
Creative testing roadmap
Data pipelines and big data solutions
New hardware product launch
Cross-functional product initiatives
Mobile firmware backend streaming test automation
Ci/cd utilities and pipelines
Streaming quality and connectivity automation
Ai services for new nanit features

Hiring Activity

Steady20 roles · 7 in 30d

Department

Engineering

Product

Marketing

Design

Finance

Legal

Logistics

Seniority

Senior

Lead

Mid

Director

Manager

Junior

Notable leadership hires: Head of AI

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About Nanit

Nanit builds smart baby monitors that combine hardware video capture with AI-driven sleep pattern recognition and parental alerts. The product targets digitally native parents seeking detailed sleep and development insights. The company operates a hardware-software hybrid business: manufacturing physical devices, running cloud-based video processing and ML inference, and distributing through direct-to-consumer and retail channels. The tech stack spans IoT (iOS, Android, firmware), ML (TensorFlow, PyTorch), infrastructure (CI/CD, SQL, Looker), and operations (NetSuite, Shopify for commerce).

HeadquartersNew York City, New York

Company Size51–200 employees

Hiring MarketsUnited States, Israel

Frequently Asked Questions

What tech stack does Nanit use?

Nanit's stack includes Python and Rust for backend services, TensorFlow and PyTorch for machine learning, iOS and Android for mobile, Shopify for e-commerce, NetSuite for operations, and Looker/Tableau for analytics. CI/CD and Appium for testing underpin their mobile and firmware development.

Where is Nanit headquartered?

Nanit is headquartered in New York City, New York. The company is privately held with 51–200 employees and hires in the United States and Israel.