Wobot AI Tech Stack

AI video intelligence for retail and hospitality operations

Software Development Foster City, California 51–200 employees Privately Held

Wobot AI builds video-intelligence software that runs on existing CCTV infrastructure to monitor workplace processes and flag operational issues. The tech stack—Node.js, React, PostgreSQL, MongoDB, Docker—is paired with edge-compute work (Deno, Go, C++) and heavy testing infrastructure (Selenium, Cypress, Playwright, BrowserStack), reflecting a company solving hard problems at the intersection of cloud dashboards and on-site video processing. Active projects around multi-camera tracking, edge runtime design, and offline-first architectures reveal engineering effort focused on real-time inference at scale without constant cloud connectivity.

Tech Stack 64 technologies

Core StackNode.js Express.js PostgreSQL MongoDB Postman React C++ Python Jira ClickUp Go Docker Linux JavaScript GitHub Actions GitLab Jenkins Playwright Selenium Cypress Teams Solidity Git Deno Bun Cucumber BrowserStack Newman curl pytest+33 more

What Wobot AI Is Building

◆Challenges

Performance bottlenecks
Code quality maintenance
Edge device performance
Optimizing local ai processing
Performance optimization of web applications
Bottleneck identification
Bug fixing
Delivering pocs on time
Executing implementations within scope
Ensuring highest quality

▲Active Projects

Multi camera person and vehicle tracking application
Video streaming pipelines
Onboarding new customer locations
Document recurring issues for product insights
Runtime environment design for edge networks
Data storage integration for distributed edge networks
Architecture for offline-first hybrid networks
Edge and cloud ingestion
Real-time video streaming
Edge device deployment

Hiring Activity

Steady20 roles · 8 in 30d

Department

Engineering

Support

Seniority

Mid

Senior

Junior

Intern

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About Wobot AI

Wobot AI delivers AI-powered video intelligence to hospitality and retail operations. The product integrates with installed CCTV systems and applies pre-trained computer-vision tasks—drawn from a configurable task library—to detect process deviations, safety gaps, and service inefficiencies. Alerts and recommendations flow to users via email and mobile notifications. The company is headquartered in Foster City, California, and operates an engineering-led org (18 engineers, 2 support staff across 51–200 employees) with hiring concentrated in India. Recent hiring velocity is steady, with 8 roles posted in the last 30 days across mid-level and senior engineering positions.

HeadquartersFoster City, California

Company Size51–200 employees

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Wobot AI use?

Wobot's stack spans Node.js, Express.js, React (frontend), PostgreSQL, MongoDB (data), Docker (containerization), plus Go and C++ for edge compute. Testing infrastructure includes Selenium, Cypress, Playwright, and BrowserStack.

What is Wobot AI working on?

Core projects include multi-camera person and vehicle tracking, real-time video streaming pipelines, edge runtime design for offline-first networks, and data storage integration for distributed edge deployments.