Veo Technologies Tech Stack

Automated sports video capture and analytics for clubs and coaches

Spectator Sports Copenhagen, Capital Region 201–500 employees Founded 2015 Privately Held

Veo builds automated camera systems and video software for sports organizations, eliminating the need for dedicated camera operators. The stack reveals a full-featured platform: Python + PyTorch for computer vision (ball and player detection), React + TypeScript frontend, and Salesforce + Zuora for revenue operations. Active projects signal expansion beyond capture into monetization and partner integrations, while pain points around checkout optimization and sales friction suggest Veo is scaling from hardware+software into a subscription-driven SaaS motion.

Tech Stack 29 technologies

Core StackPython TypeScript Rust React Node.js Salesforce Swift SwiftUI Zendesk PyTorch dbt Asana Apex AWS Docker Kubernetes Mixpanel Amplitude Kotlin Jetpack Compose Apple Zuora Google Meet Notion Lightning Web Components Aura Components Visualforce Google Analytics 4 Android SDK

What Veo Technologies Is Building

◆Challenges

Low response time
Reducing support backlog
Scaling partner integrations
Minimal backlog
Expanding and retaining customer base
Checkout flow optimization
Ensuring accurate revenue workflows
Removing friction from sales workflow
Diverse partner use cases
Migrating from one system to another

▲Active Projects

Data-driven full-stack solutions for monetization journey
Public api initiative
Email automation flows
System migration
Revenue platform
Business optimization
Poland gtm & target plan
Cross-functional ai rollouts
High-roi activation events
Seamless cross-platform experience

Hiring Activity

Steady35 roles · 10 in 30d

Department

Engineering

Support

Sales

Marketing

Product

Design

Finance

Seniority

Mid

Senior

Lead

Director

Intern

Junior

Manager

Staff

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About Veo Technologies

Veo Technologies operates an automated sports video platform founded in 2015 and headquartered in Copenhagen. The product captures live matches without a camera operator, automatically generating multiple viewing angles and detecting players and ball position, then delivers edited video with analytics features to coaches, players, scouts, and clubs. The company serves a broad user base from amateur youth clubs to professional scouts seeking accessible broadcast and analytics capabilities. Operations span Denmark, Germany, and the United States, with an engineering-heavy organization (12 engineers across a 33-person hiring pool) focused on computer vision, cross-platform mobile (iOS, Android), and backend systems.

HeadquartersCopenhagen, Capital Region

Company Size201–500 employees

Founded2015

Hiring MarketsDenmark, Germany, United States

Frequently Asked Questions

What technology does Veo use to detect players and the ball?

Veo's stack includes PyTorch for machine learning, Python for backend processing, and computer vision pipelines that automatically generate player and ball detection views from live sports footage.

What is Veo's tech stack for mobile and frontend?

Veo uses React and TypeScript for web, Swift and SwiftUI for iOS, and Kotlin with Jetpack Compose for Android. Backend runs on Python and Node.js, with infrastructure on AWS, Docker, and Kubernetes.