IndustryTravel
HeadquartersStanford, CT
PlatformiOS, Android & Web
“I have managed remote teams now for over ten years, and our early work with Arbisoft is the best experience I’ve had for off site contractors”Paul EnglishCo-Founder, KAYAK
KAYAK & Arbisoft
Since 2008, KAYAK and Arbisoft have been technology partners working together on a number of core aspects of the software. Founded by Paul English & Steve Hafner, KAYAK is a travel search engine with a strong in-house engineering team. Its aim is to make travel bookings easy, simple, and swift. As a leading provider of aggregated travel search results including flights, hotels, and car rentals, KAYAK constantly needs to build and improve its technology. KAYAK’s proprietary search technology depends on integrations with hundreds of providers and resellers around the world.
How we have been helping KAYAK
We worked together with KAYAK’s in-house team to build fully integrated native iOS & Android apps that extended their web-based experience for users on the go. Since the inception of the KAYAK Trips product, we have assisted in allowing travelers around the world to manage their itineraries in a beautiful and convenient way.
Arbisoft also provides end-end test coverage for KAYAK’s web and mobile applications. Thanks to our automation and manual QA engineers, KAYAK’s user base can take comfort that there’s someone keeping an eye on functional units of the software and certain changes being made to it.
Making it matter
We are extremely proud of the opportunities we have been afforded to contribute to KAYAK rapidly expanding into a worldwide travel search engine: With over 50 million downloads from 30+ countries, 4.5 stars from over 200,000 happy travellers, and featured listings in the App Store, it’s easy to see why the apps won 10 Webby awards and were included in Wired Magazine’s ‘8 Best Apps for World Travelers.’
Arbisoft and KAYAK have grown side by side through improved service delivery and the development of an industry-leading product kept at the forefront of technological advancements and changing user requirements with help from our team of dedicated engineers; thus, establishing KAYAK as the search engine of choice for its users.
Technology used
Python3.6, Tensorflow, Pandas, Docker, Pytest, Jupyter Notebook, Numpy, Gensim, ScikitLearn, Spacy, NLTK, Matplotlib, Pytest, Pep8, Pylint, Pytest-cov, Beautiful Soup, DateParser, LXML, NodeJS, MySQL, Apache Hive