To demonstrate the power of its Velocity Weather engine, Baron Services asked Eureka to build a new mobile application platform. We created customizable white-label iOS and Android native applications that enabled Baron’s customers to release their own mobile experiences.

The project posed a unique challenge of building a mobile app optimized for both the end users and weather service providers. For consumers, Eureka built a detailed, data-rich user experience- including a severe warning system notifying users of dangerous conditions in a particular area.

To make the mobile application a valuable revenue opportunity, Eureka built a modular application system that allows the app to be configured based on that particular customer’s needs. A detailed API authorization and security system gives the data providers control over access to the data to prevent unlicensed use. Eureka’s mobile platform also gives customers full access to all products available through simple configuration.

Available now in select markets for iOS and Android devices.

Blockbuster and NCR Entertainment needed to get into the DVD kiosk rental market- and fast. They turned to Eureka for help.

The team collaborated with NCR and Blockbuster to build BlockbusterExpress.com. The site married kiosk technology with a complete online browsing and shopping experience. The technology was simple, highly scalable, and accelerated their business strategy.

On top of the primary focus of delivering fantastic overall experience, user interface design, and scalable web architectures, the project required an aggressive timeline. The Eureka team met the deadline and delivered a robust online site that successfully handled hundreds of thousands of transactions on a modest and cost-effective server backend. As added value, Eureka built in real-time inventory and online reservations- a first for the industry.

As a testament to the success of the project, The Blockbuster Express system went from a few test kiosks to over 10,000 locations nationally. The business was successful enough it was eventually sold to Redbox for an estimated $100 million.

Historically known for developing equipment found in every electrical engineering shop in the world, Tektronix found themselves struggling to deliver the same level of excellence in user-interface as their advanced hardware products. They needed to transform product development from engineering-centric to customer driven.

The team at Eureka jumped right into the deep end. By applying their low-level knowledge of hardware, they began to understand Tektronix’ highly specialized industry, and solved the most complex portion of the user interface first. By alleviating a primary pain point of the Tektronix developers, Eureka demonstrated the detail-oriented practices necessary to build a world-class user interface.

To thoroughly ensure the success of the design, Eureka brought several of the Tektronix engineers on-site to work closely together and transfer development knowledge organically. By mentoring the team, Eureka worked as a true partner of Tektronix.

Founded in 1965, Rush Enterprises operates the largest network of commercial vehicle dealerships in the United States. The company was experiencing rapid growth, but were not reaching their full potential due to their time-consuming paper-based sales and business processes. They needed a technology partner to radically change how they work, and they found the perfect partner in Eureka.

The team quickly found themselves working as business and process consultants for Rush, and formed the ad-hoc project into a repeatable and scalable software system. Coupled with Eureka’s expertise in emerging technologies, the team defined and standardized the sales process and integrated a corporate-wide Customer Relationship Management system. The system featured custom sales tools, inventory systems and dealer service solutions. If the evidence of success wasn't clear enough, Rush quadrupled their revenues to over $3B and grew rapidly as a publicly traded company.

The Velocity Weather API is the result of a long-time collaboration between Eureka and Baron Services. Eureka’s knowledge of scalable web and cloud-based systems enabled Baron to enter a new market by providing a new weather data API. By leveraging Eureka’s high-end development and architecture talent, Baron was able to focus on their business.

Eureka built a highly distributed cloud computing system for collecting, processing, and visualizing meteorological data. Eureka chose the event-driven Twisted framework for Python to enable Baron’s intense scalability requirements. Eureka also built a sophisticated Amazon EC2 cloud infrastructure that lets Baron easily create new application clusters and quickly move them between datacenters. The resulting system scales nearly horizontally for cost-effective growth.

In addition, Eureka’s experience in API and cloud development led to a powerful fine-grained API security system, automated build and deployment processes, as well as an intuitive developer SDK.

Over the years Eureka has worked with a large variety of clients and industries each presenting different challenges. Graham Chandler and Associates presented one such challenge for the team when they asked Eureka to develop an educational tool for high school students. Perhaps their most challenging target audience yet.

With the cost of college rising dramatically every year, Graham Chandler wanted to develop a tool to help students plan their college and careers in more efficient and effective ways. It not only needed to package interactive functionality to help students explore careers, but also incorporate real-world lifestyle facts to help motivate their choices.

The outcome was a tool called Grown Up Me. In a product space known typically for long, boring surveys and dry research data, Grown Up Me (known affectionately as G.U.M.) turned the experience into a game for students. Using bold animated graphics, Eureka pulled huge amounts of data into an enjoyable experience. Behind the scenes, GUM’s career-matching engine hid a sophisticated algorithm that coupled huge amounts of data, and the latest in the education and occupation fields.