We build data science solutions

See our use cases
The Boston Consulting Group
Index Ventures
Canada Natural Resources - Canadian Forest Service
Fortune 500 company
Triple A - Risk Finance
Black Red White
Cenatorium
BEST

What is Appsilon

To some, data is just bunch of ones and zeros. To us, it tells a story. This approach translates into an end-to-end process where we provide value at each and every step. On one end, we deliver automatized data acquisition and business validation. This flows into model creation which is the crucial part. At the end, we deliver beautiful and responsive dashboards as stakeholders need a way of interacting and understanding data. Some of the industries we work with include but are not limited to Finance, Healthcare, Logistics, Retail and Real Estate.

Our contribution to open source can be summarised by thousands of downloads, we inspire discussion and growth that allow others to learn from our accomplishments and to share with us.

Appsilon delivers high-quality data analysis, data science software solutions and technical support. If you have a difficult problem that requires strong analytical skills or think that your data is being underutilized, then we’re the right people!

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

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. 

Case study
  • Combines Satellite and AIS data in real time
  • Forecast behaviour
  • Improves safety and efficiency

Case studies: 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.

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

Case studies: 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.

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

Case studies: 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.

Case study
  • Hundreds of simultaneous users
  • 7 days to mock up
  • Data acquisition automation
The 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.

Sergey FogelsonVP</br>Analytics and Measurement Sciences
Sergey Fogelson, VP
Analytics and Measurement Sciences

We are big fans of your semantic UI 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

r
shiny
python
TensorFlow
plotly
Amazon web services

Meet us

Load previous
@Warsaw HQ

Chmielna 21/10
00-021 Warsaw

@Gdańsk

Grunwaldzka 212/3.4-3.5
80-236 Gdańsk

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

June 27, 2018
@ The Lead Developer in London

Functional programming for everyone

July 5, 2018
@ Why R in Wrocław

Live Demo of our useful Shiny packages

July 10, 2018
@ useR in Brisbane

Using deep learning on Satellite imagery to get a business edge

September 1, 2018
@ satRday Amsterdam

Dominik will speak on our new R Shiny packages

November 7, 2018
@ EARL Seattle

Marek Rogala will speak on – Using deep learning on Satellite imagery to get a business edge

Load upcoming

@Warsaw HQ

Chmielna 21/10
00-021 Warsaw


@Gdańsk

Grunwaldzka 212/3.4-3.5
80-236 Gdańsk

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

June 27, 2018
@ The Lead Developer in London

Functional programming for everyone

July 5, 2018
@ Why R in Wrocław

Live Demo of our useful Shiny packages

July 10, 2018
@ useR in Brisbane

Using deep learning on Satellite imagery to get a business edge

September 1, 2018
@ satRday Amsterdam

Dominik will speak on our new R Shiny packages

November 7, 2018
@ EARL Seattle

Marek Rogala will speak on – Using deep learning on Satellite imagery to get a business edge

Map
Appsilon CEO, Filip Stachura, talked about Data Science in Finance Appsilon CEO, Filip Stachura, talked about Data Science in Finance

Appsilon CEO, Filip Stachura, talked about Data Science in Finance

Filip Stachura, CEO at Appsilon Data Science spoke on Fintech Open Mic Night - Credit Scoring. Traditional credit scoring used financial history and basic info about the prospective borrower: job, address and so forth.
Create outstanding dashboards with the new semantic.dashboard package

Create outstanding dashboards with the new semantic.dashboard package

We all know that Shiny is great for interactive data visualizations. Here is a tutorial how to create amazing shiny dashboard with semantic.dashboard package.
User authentication in R Shiny – sneak peek of shiny.users and shiny.admin packages

User authentication in R Shiny – sneak peek of shiny.users and shiny.admin packages

For user authentication, we created the shiny.users package. For user administration and usage statistics, we created the shiny.admin package.
Why you should regret not going to eRum 2018?

Why you should regret not going to eRum 2018?

Summary from eRum conference in Budapest. Top talks and video from Olga's talk about new Shiny packages: “Taking inspirations from proven frontend frameworks to add to Shiny with 6 new packages”
Overview of Dash Python Framework from Plotly for building dashboards

Overview of Dash Python Framework from Plotly for building dashboards

Overview of Dash Python framework. Dash is a reactive framework for building Dashboards form Plotly.
Konrad Pabianczyk
Konrad Pabianczyk
Key Account Manager

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