The goal was to create a real-time, over-the-shoulder perspective on the investment strategies of some of the country’s most successful personal investors.

Distillery worked closely with Netvest founder Mark Rochelli to deliver a stunning application that melds pitch-perfect UI with fluid UX to provide content and functionality accessible to both new and seasoned investors. The UI acts as a running feed that allows users to follow expert investors trading in real time.

The key innovation was condensing investor strategies into “motivation” icons that are instantly scannable on the feed. With uninterrupted access to investor portfolios and posts–including watchlist changes, market updates and explanations for all trades–users are positioned to develop the tools and intuition to make the right investment decisions at the right times.

Dual admin functionality allows investors to post trades and Netvest’s small staff to manage all aspects of the application.

Santa Monica-based startup Fitdog came to Distillery ready to grow but held back by clunky, outdated technology.

What was missing? A great, intuitive app and website that made booking effortless for clients and everyday operations easy on employees and vendors. Clients were calling to make appointments because the third-party scheduling system was that frustrating. Fitdog needed to do better. That’s where our Distillery team came in.
Fitdog and Distillery developed a partnership based on Fitdog’s needs and Distillery’s guidance and expertise. Our team made user experience a day-one priority, interviewing various groups of users to better understand their goals and expectations.

Our team turned raw demands into hundreds of wireframes that contemplated all possible user interactions. We researched the competition’s tech and made it a point to outperform them. Our throughline strategy: to provide convenience and functionality while boosting engagement.

Our Work
In collaboration with the client, Distillery shaped a revised scope and schedule to fit the newly developed concept. They communicated continually to navigate changing requirements and manage the scope against the deadline. As a nontechnical first-time mobile app developer, he relied greatly on Distillery’s UX, product, marketing, and technical knowledge.

In addition to suggesting the audience-expanding inclusion of internships, the Distillery team helped him stay focused on future marketing needs and what users would value. We developed a straightforward UI and on-the-go functionality that would appeal to a diverse user base of both students and employers.

We also created an easy-to-use admin panel that allowed Glydr staff to conveniently manage content and deal with user reports.

The technologies used throughout this project included ASP.NET Web API, ASP.NET MVC, Angular 2+, RxCocoa, RxSwift, RxDataSources, Moya, SwiftR, ObjectMapper, Realm Swift and RxRealm.

IllumiMapi - new opportunity to post and share photos and memories with your friends. You can post your photo by selecting year when photo was taken and stick it to the map with a single tap. You are able to stick it anywhere on the globe and go to the past as deep as you need. More people share their photos from the past in different locations more interesting it becomes to surf IllumiMapi. Post and comment photos, share them and find interesting people.

Jason Medeiros, nēdl’s CTO, led our team and spearheaded the MVP development project. We started by providing several months of development assistance. We began with the necessary infrastructure setup, then moved on to setting up the application’s backend of nēdl’s own Amazon Web Services (AWS) server. Next, we created the appropriate intents for handling users’ spoken commands and configuring the intents’ handlers for the app.
After that, we integrated APIs of AWS, Audials and Elasticsearch to extend the scan by song, artist and keywords functions, all of which were pivotal to launching a market viable product.
Then, we continued work on the backend server, setting strict criteria for it. The server must:
• Receive a stream of user speech and convert it to text using automatic speech recognition software
• Store that text in a search index
• Provide a search API that supports the Amazon Alexa skill