DevsData LLC

An international fashion corporation decided to undergo a radical digital transformation in order to outrun its competitors. We assembled a core technology team (Machine Learning, Software UX/UI, and operations) for several company departments and we recruited 26 people for a Scandinavian corporation.

Learn more: https://devsdata.com/recruitment-case-study/

Our main objective was to make the design look spectacular on a live WordPress website. With modern animations: eye-catching transitions, parallax effects and drop shadows, combined with advanced CSS front-end tools and solutions, we managed to achieve high-quality modern style while maintaining solid site performance, scalability and maintainability. We have implemented Advanced Custom Fields (ACF) in order to make it easy for the customer to update the website content at any moment. ACF field builder allows users to quickly and easily add fields to WP edit screens with only a few clicks of the buttons. Learn more: https://bit.ly/3ETnbDE

A secure and powerful custom-made system tailored to a very specific client's day-to-day workflow. An entirely tailor-made ERP & PM system that includes the features and functionalities which perfectly fit the client's needs. It provides improved security and processing capabilities compared to commonly used Jira. 

Learn more: http://bit.ly/devsdata-erp-case-study

A web application that allows users to schedule an online session with a psychologist. Integrated with G-Suite and connected with a payment gateway via Stripe. Its modern, eye-catching designs have been created totally from scratch by our designer. Wellbee has been backed up by a VC that invested over $300.000 USD into this project.

Learn more: https://bit.ly/3FPkIeJ

We designed and developed a high-level, modern and functional e-commerce website, combining well designed user interface and complex back-end. We integrated new solutions with enterprise e-commerce products and software APIs and also implemented an advanced financial transaction system. Another objective was to make the platform internationally accessible, since before our work it was available only for Scandinavian languages speakers. Learn more: https://bit.ly/3HBlzQQ

Hikers in Norway is a mobile application for outdoor enthusiasts who want to explore Norway. It offers a number of functionalities that significantly improve the experience of touring the country. It contains a database of tourist attractions such as trekking, cycling and climbing routes, restaurants, hotels, equipment rentals etc. All of the attractions can be conveniently browsed from the map or searched using filters.

Learn more: https://bit.ly/32OCZKW

A B2C iOS application that allows its users to find otherwise “ unclaimed properties” for them and their families using the database they possess as well as external resources via web scraping. A data aggregator, with an extensive Back-End logic responsible for an intelligent information scoring and matching, is combined with an elegant Front-End design on iOS. Learn more: https://bit.ly/3zqkvvZ

We created a solution for property owners to offer renters a simple vehicle charging solution. It enables them to take advantage of the current panel capacity to offer to charge to their tenants and broker the transfer of funds between tenants and the property owner. Learn more: https://bit.ly/3t4ZJRo

Sparkl Reusables is a web application that allows individuals and companies to rent multiple-use food containers. It aims at chipping away at today’s throw-away culture and ushering in an era of sustainable circular systems. This PWA app has been successfully delivered to the client within a very short time and has proven to be a sustainable startup project despite a very low budget. Learn more: https://bit.ly/3sRyiuu

We were tasked with developing an Innovation Pipeline designed to streamline the idea planning and management process of a pharmaceutical company. The system’s users can create detailed business ideas related to a specific strategic topic. Afterwards, other team members can ask for more details, challenge and vote for the ideas that are most appealing to them. Our solution was distributed and implemented in over 6 divisions of the organization, fostering creativity and productivity. Learn more: https://bit.ly/3JGI48Q

A revolutionary social network with various social features, no ads, no targeting, and no news feed manipulation. Throughout the design process of website, we focused on taking advantage of the most recent technologies available on the market. To build a complex social network platform - with both web and mobile versions - we used React and Ember.js for front-end and Scala for Back-end. The users were also provided with a personal cloud drive, a security system preventing them from being tracked and a convenient financial transactions system.

Learn more: https://bit.ly/330pMyv

One of our customers, a military company, needed an advanced Computer Vision software solution that detects humans on a video stream in real-life which will be as lightweight as possible to be run on a low cost, small device equipped with an Nvidia GPU. The hardware capabilities of Nvidia Jetson made Deep Learning infeasible for this task. However, we managed to provide a performance-optimized, OpenCV-based algorithm that worked in real-time, with very low latency and the required precision. Learn more: https://bit.ly/35fhNeK

We excel at HTML information extraction, as well as further data processing even with big data tools like Spark, Hadoop, Hive, Cassandra etc. Our experience also includes scraping and processing confidential data. The tech stack we are familiar with - Python, Django, Requests, Cron, Beautifulsoup, PostgreSQL, Marshmallow, ScraPy, Google Cloud Platform, Scrapinghub Platform, and more - has let us extract information from sources like Wikipedia, IMDb.com, eBay, Amazon, Realtor, Trulia, Rent.com, Apartments.com, CraigsList, Cars.com.

Learn more: http://bit.ly/devsdata-webscraping-case-study

Thanks to our solution that relies on finding Drug Side-effect Reviews in Social Media using Artificial Intelligence and Natural Language Processing - drug safety surveillance systems can be easily improved by incorporating the knowledge extracted from social media into them. Learn more: http://bit.ly/devsdata-ai-big-data-case-study

A system using AI algorithms – Document Classification, Named Entity Recognition, to name a few – can spot certain changes on the market without human intervention. By using the above state-of-the-art Natural Language Processing techniques, we managed to detect 95% of relevant posts and thus largely reduce the number of posts from the web that the investors need to review. Learn more: http://bit.ly/devsdata-ai-nlp-case-study