Open Data

Innovative use of public data

We help authorities, companies and private individuals in making their data available to the public. We design and realise high-quality Open Data Solutions based on CKAN or integrate data into existing platforms like opendata.swiss.

We provide you with advice from the architecture and usability to the Community Management of your target groups. We believe in open data and support you in making your data available to the public.

Cédric Hofstetter
Business Developer, Product Owner

Advice

Having the right architecture is critical to the success of your Open Data project. We offer advice in the following areas:

  • Architecture
  • Data Matching (XML)
  • Addressing data consumers

Development

We develop your application to suit the needs of your customers:

  • Implementation of CKAN projects
  • Open APIs
  • Individual solutions

Integration

We integrate your Open Data Solution into existing systems:

  • Connection of Harvester
  • Integration in existing systems
  • Connection to Content Management systems

Design

Data is not used unless the design is user-friendly We support you with:

  • User Centered Design
  • Adapting your brand

opendata.swiss

We help the public sector, research and mandated private companies in publishing their data.

Check our offer

With the new solution, we were able to reduce our costs significantly and now have the ability to add new data sets to the platform continuously.

Marco Sieber
Projektleiter, Statistik Stadt Zürich (SSZ)
opendata.swiss

opendata.swiss

opendata.swiss is Switzerland’s open government data portal. It offers free, machine-readable data on social demographics, space, the environment and the economy. Authorities and related organisations have come together for the project.

Discover case study

logo-ckan

Face detection - An overview and comparison of different solutions

Which face detection API is the best? Let’s have a look into Amazon Rekognition, Google Cloud Vision API, IBM Watson Visual Recognition and Microsoft Face API.
David Pacassi Torrico
Software Developer, Data Scientist

Zoo Pokedex Part 2: Hands on with Keras and Resnet50

After learning about the dirty tricks of deep learning for computer vision in part 1 of the blog post series, now we finally write some code to train an existing resnet50 network to…
Thomas Ebermann

Poke-Zoo - How to use deep learning image recognition to tell oryxes apart from llamas in a zoo

In this series of blog posts I will show you how to build a "zoo-pokedex app". That's an app that will tell different animals apart in a zoo. This blog post sells the idea…
Thomas Ebermann

Send us a message

or an e-mail to contact@liip.ch