Comtravo - Empowering Purposeful Business Travel
We are a tech-savvy team of travel professionals and customer service heroes with the common goal of simplifying business travel with an AI-based approach. We've been revolutionizing the business travel market for 6 years and are growing fast with now more than 270 colleagues, backed by top investors like Microsoft, Project A, and Creandum.
At Comtravo, we always see challenges as opportunities and thus we see the biggest challenge for the travel industry, the spread of the COVID-19 virus and the limitations it brings, as the biggest opportunity for us. We have successfully adapted our strategy and this has resulted in the strongest growth so far in our successful company history.
Our two major web applications are developed for the internal or respectively external use of our travel agents and customers to book and manage their business trips. Both applications interact with our in-house-built booking engine with APIs to our suppliers.
Our tech stack:
The frontend is built in Angular / Typescript. We have two major applications - one for our customers and one for our back-office team of travel agents.
We are using state-of-the-art technologies, such as natural language processing and machine learning techniques, to automate our booking and fulfillment pipelines and leverage past data to improve our customer's experience. These are primarily developed in python.
We carefully design our systems to collect the right data at the right places and make such data available in a compliant way to enable a data-driven mindset throughout the company.
The backend is primarily built in
Node.js / Typescript and consists of around 20 major RESTful services plus around 60 microservices. We make heavy use of Docker and Terraform and are running on AWS. Services are coupled by events and run on AWS ECS and Lambda.
We invest heavily in shared components, libraries, automated tests, monitoring and sane interfaces. Together with a strong CI/CD pipeline, we are able to release many times per day to production.
