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Enterprise Data Science and ML Solutions

Learn More
BCG Boston Consulting Group
Index Ventures
Canada Natural Resources - Canadian Forest Service
Fortune 500 company
Triple A
Cenatorium
BEST

Data Tells A Story

Appsilon helps enterprise companies understand and interact with this story. We create powerful tools and end-to-end enterprise data solutions, from data analytics to computer vision to responsive R Shiny Dashboards. Some of the many industries we work with include Finance, Healthcare, Logistics, Retail and Real Estate. We are a proud RStudio Full Service Certified Partner.

Appsilon delivers the world’s most advanced R Shiny Dashboards, and we have the expertise to scale these apps up to hundreds of concurrent users. We provide data science consulting, managed services, infrastructure support, and custom solutions with R Shiny and Python Dash technologies. We have a wealth of experience with machine learning in computer vision, NLP, and predictive analytics. If you have a difficult data problem that requires strong analytical skills, or you think that your data is being underutilized, then you’ve found the right people.

Appsilon’s passion for data extends to open source. Our packages have been downloaded thousands of times by both commercial and open source developers. We inspire discussion and we love to teach others as much as we love to learn from others.

We are committed to making a positive impact on the world. Our AI for Good initiative provides data analytics and machine learning support to NGOs, academic institutions, and nonprofit organizations at reduced rates. Recently, our team has worked to mitigate poaching in Africa with computer vision, provide satellite image analysis for assessing damage after natural disasters, and build tools to help with COVID-19 risk assessment.

Image
Data
Data
Acquisition, validation, governance and processing
Model
Model
Automated valuation models, Satellite imagery analysis and predictive analysis
Dashboard
Dashboard
Data visualizations, reports, R/Shiny dashboards and Python Dash

Case studies:

Optimization in port management

Maritime AIS Safety Cargo management

Working with ports drives the efficient flow of goods. This foundational business has experienced an explosion in the number of data points available thanks to developments in sensors, IoT, software, and increasing global complexity. In this visualization, you can see how we expedite the process of loading and unloading goods.

Route prediction can help both ports and crew, as we inform everyone ahead of time about incoming vessels and help captains choose the most time and cost effective ports. Traders can also benefit by having real time updates, taken from Automatic Identification System (AIS) data. 

  • Combines Satellite and AIS data in real time
  • Forecast behavior
  • Improves safety and efficiency

Automatic Valuation Models

Real Estate AVM Data Scraping

There is a famous case of a data scientist helping find a cheaper location for a new firehouse, whilst decreasing reaction times to all locations served. We do that, at scale, with the help of Automated Valuation Models. You can see differences real estate prices of specific plots and subplots in New York City. Changes in time and trends can be seen on a granular level. Expert knowledge is incorporated into the models and improves results by giving us more than data, but also years of experience.

Our approach to combining models with highly functions user interfaces drastically improves the usefulness of our models. Anyone from developers, facility managers to real estate investors can benefit from our tool. We model and predict future trends to help municipal planners, developers and even citizen investors looking for a tangible nest egg.

  • Intuitive and functional
  • Forecast future behavior
  • Augmented with Expert Knowledge

Satellites image analysis in agriculture

Image recognition Deep learning KERAS

Satellites follow Moore’s Law, in that the resolutions and image frequency exponentially increase and improve over time. We take advantage of such satellite imagery and deep learning to automatically recognize images and discover insights. The case you can see is from an agricultural plot of land where our model has identified three lost areas of corn. Farmers can use this when calculating their losses and identifying areas of improvement.

Such technology is not restricted to agriculture, but can be applied to a multum of industries. We can help shopping malls and offices extract insights from their parking lots. We can identify and track the migration of groups of land and sea animals. We are not yet at live tracking, but regular and recurring images are enough to benefit and add new business use cases to your company while staying ahead of the competition.

  • 30cm per pixel
  • Minimal travel and on-site costs
  • Deep Learning Image Recognition

Shiny Enterprise Dashboards

Shiny Data visualization Enterprise Dashboards

We build scalable & reliable custom enterprise dashboards. We focus on UX and a modern aesthetic that improves the functionality of our models while minimizing the learning curve needed for the end user. We create open source packages for Shiny that are used by thousands of data scientists around the globe.

We have experience in creating secure & dynamic dashboards in Shiny for hundreds of users.  Our custom packages introduce such features as authentication with LDAP integration, usage analytics and multilingual interface.

  • Hundreds of simultaneous users
  • 7 days to mock up
  • Data acquisition automation
BCG Boston Consulting Group
John Dannberg, Principal
The Boston Consulting Group

Appsilon Data Science proved to be an excellent business partner. The high technical skillset coupled with a solid business understanding made the cooperation flawless. Appsilon were flexible with tight schedules. It took us one month to get from sketch to a working application.

Marc RobitzcatGlobal Director of Marketing Technology
Marc Robitzcat, Global Director of Marketing Technology
Diversey

The team at Appsilon has been a great complement to our own internal data science team. Their work has proven to be valuable in Diversey’s development of data-driven solutions to satisfy the demands of our global customers.

Viacom
Sergey Fogelson, VP
Analytics and Measurement Sciences

We are big fans of your shiny.semantic package for Shiny and have used it to make our dashboards not ugly here at Viacom. Thanks for that!

Storekeeper
Petter Arnestad, CEO
at Storekeeper AS

The Appsilon Data Science team took our Shiny app to a new level. They promptly delivered a new user-friendly interface, gave us a fresh new design and incorporated our logo and branded elements elegantly. Everything was delivered on time and within budget. We highly recommend Appsilon as a professional business partner in Shiny and R-related projects.

Triple A - Risk Finance
Frank Gregorkiewicz, Managing Partner, Triple A

The platform delivered by Appsilon team allowed us to migrate a specialized spreadsheet model into a collaborative web application and to give our clients unique tool enabling fulfillment of quantitative requirements of Solvency II Directive in effective and user-friendly manner.

NAMU banking
Thomas Ko, CEO
NAMU Systems

I would like to strongly underpin their major assets as professionals and co-workers: being extremely flexible and adaptive to the cutting-edge technologies combined with maintaining top quality of the code. Needless to say, we are deeply satisfied with the results of our cooperation.

Technologies we use

shiny
python
TensorFlow
plotly
Amazon web services

Meet us

Load previous
November 7, 2016
@ EARL Boston

Effective applications of the r language.

June 5, 2017
@ EARL San Francisco

How we built a Shiny App for 700 users

May 15, 2018
@ eRum in Budapest

Taking inspirations from proven front-end frameworks to add to Shiny with 4 new packages

June 5, 2018
@ Predictive Analytics World in Las Vegas

Dynamic Pricing in real time for B2B Sales with R and Shiny

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xspliner: An R Package to Build Explainable Surrogate ML Models

xspliner: An R Package to Build Explainable Surrogate ML Models

xspliner is an R package that helps explain black box ML models. In this presentation, you will learn what PDP curves and GLMs are and how you can calculate them based on black box models. I'll then show you a specific use-case for xspliner.
How to Write Production-Ready R Code: Tools and Patterns

How to Write Production-Ready R Code: Tools and Patterns

In this talk you’ll learn tools and best practices for making clean, reproducible R code in a working environment ready to be shared and productionized. We cover the benefits of version control, plumber, RStudio Connect, and many other tools.
Fast.ai in R: How to Make a Computer Vision Model within an R Environment

Fast.ai in R: How to Make a Computer Vision Model within an R Environment

In this presentation we present how to make use of the latest technical advancements in computer vision with an R setup even if they are originally implemented in Python.
eRum 2020: Appsilon Presentations On xspliner, fast.ai, and Writing Production-Ready R Code

eRum 2020: Appsilon Presentations On xspliner, fast.ai, and Writing Production-Ready R Code

Appsilon engineers Krystian Igras, Marcin Dubel, and Jędrzej Świeżewski, PhD will be giving virtual presentations on Friday, June 19th. Learn about xspliner, making production-ready R code, and using R for Machine Learning projects. 
IIASA Collaboration: An Interactive Map for COVID-19 Public Policy Decisions

IIASA Collaboration: An Interactive Map for COVID-19 Public Policy Decisions

Appsilon created a dashboard in collaboration the International Institute for Applied Systems Analysis to deliver information about COVID-19 to policymakers. We implemented the solution with Python and Svelte.
How to Build a Video Game in R Shiny with CSS, JavaScript, and R6 Classes

How to Build a Video Game in R Shiny with CSS, JavaScript, and R6 Classes

R Shiny has historically been used for data-driven applications and as a rapid development tool, but it's a highly adaptable technology. Is it possible to build a functioning video game in R Shiny? Let's find out.
Filip Stachura
Filip Stachura
CEO

Reach out. We’ll respond within 24 hours.