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Qargo TMS Tech Stack

Cloud-based transport management system for road logistics operators

Software Development London, England 51–200 employees Founded 2020 Privately Held

Qargo builds a SaaS transport management platform for road transport companies, with a modern stack spanning Python, Django, React, Kubernetes, and GCP. The tech mix—PyTorch, Hugging Face, LangChain, and active chatbot/document-extraction projects—reveals an engineering org shifting toward AI-assisted automation of logistics workflows. Hiring velocity is accelerating across engineering and sales, with a near-even split between customer-facing scaling (support, sales roles) and product work, indicating a company balancing customer success against feature velocity.

Tech Stack 41 technologies

Core StackHubSpot Gong Python PyTorch Hugging Face LangChain Django GraphQL Kubernetes React React Native TypeScript Hasura Firebase PostgreSQL BigQuery Elasticsearch Superset Tableau LangGraph GCP Expo Firestore iOS Android Zustand Ant Design Google Cloud Pub/Sub CI/CD Lightdash+11 more

What Qargo TMS Is Building

Challenges

  • Automating lengthy manual tasks
  • Inefficient manual tasks
  • Optimising planning and invoicing workflows
  • Improving platform reliability and performance
  • Complex logistics workflows
  • Accelerating deal cycles
  • Custom fix per customer
  • Expanding usage
  • Integration onboarding challenges
  • Customer integration readiness

Active Projects

  • Support workflow automation
  • Customer onboarding journey
  • Custom document editors
  • Integration onboarding cycle
  • Pre-sales integration support
  • Accelerating qargo’s growth in the netherlands
  • Document extraction
  • Chatbot development
  • Automated bookings
  • Client usage monitoring

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Engineering
11
Sales
7
Support
4
Product
3

Seniority

Mid
15
Manager
8
Lead
1
Senior
1
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About Qargo TMS

Qargo provides a transport management system designed for road logistics operators. Founded in 2020 and based in London, the company focuses on reducing administrative overhead for transport teams while improving operational efficiency and financial outcomes. The platform spans core logistics workflows—planning, invoicing, document handling, and customer integration—and is implemented on a modern cloud-native infrastructure. Qargo operates across the United Kingdom, Germany, Belgium, Netherlands, and the United States, with 51–200 employees and 25 open roles as of the last 30 days.

HeadquartersLondon, England
Company Size51–200 employees
Founded2020
Hiring MarketsGermany, Belgium, Netherlands, United States, United Kingdom

Frequently Asked Questions

What tech stack does Qargo use?

Qargo runs on Python, Django, and PostgreSQL for backend services; React and React Native for frontend; Kubernetes and GCP for infrastructure; and Hasura, GraphQL, and Firebase for data and API layers. The stack also includes PyTorch, Hugging Face, and LangChain for AI features.

What is Qargo working on?

Active projects include support workflow automation, customer onboarding journeys, document extraction and custom editors, chatbot development, automated bookings, and integration onboarding cycles—reflecting a focus on automating manual logistics tasks and accelerating customer adoption.

How this profile is built

Qargo TMS'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.