Our team solves real-world problem by combining the following services after having clearly understood our clients’ business problems.
Location Data Analytics and Big Data Processing
The rapid growth of both imagery and other geospatial data has increased the complexity of creating responsive and scalable geospatial applications. Raster and vector datasets can easily have millions or billions of values, and performing operations on them is often a highly computationally-expensive task. We believe that through performance-minded code and techniques such as parallelization, these datasets can become a critical piece of high performance applications.
We collect and manipulate items of data, geospatial and non-geospatial, to produce meaningful information.
We are convinced that visualizations are the best way to tell the stories behind the data we process and analyze.
We develop insights by applying algorithms on your geospatial data and on third-party data.
We emphasize the use of maps as the inherently geospatial form of visualizations.
Geospatial Deep Learning
Artificial Intelligence is the machines which are designed and programmed in such a manner that they think and act like a human: no need to program machines to solve a particular problem, it’s the machines that learn how to perform that particular task by looking at samples of the process. Machine Learning, Deep Learning and AI are increasingly being used on geospatial datasets, whether raster or vector. Our methodology, experts and experience in geospatial data science ensure the optimal quality of the insights derived from your data.
With our experienced team, we will help define the problem and we will recommend the process that fits your needs.
We will define a labeling process and engineer the tools you need to get the job done.
Our team will write scripts or leverage on existing data-prep tools to create a valid dataset.
Training and Testing Model
We’ll evaluate architectures and parameters of the model, and eventually will train it in an optimized way.
We’ll help you make calculated decisions by engineering a service to make predictions that fit your use case.
Desisgning Custom Apps
Our well-rounded team can help you construct a custom user interface to fit your process.
Solution Engineering and Design
We create web and mobile tools to support better decision-making through access, analysis and visualization of your data. We have experience creating visually attractive solutions that bring together the strengths of both open source and commercial tools, including PostGIS, CARTO, Mapbox, Here, Google Maps, OpenStreetMap, Google Cloud Platform and Amazon Web Services.
User Experience and User Interface Design
While User Experience is a conglomeration of tasks focused on optimization of your geospatial solutions for effective and enjoyable use, User Interface Design is its complement: the look and feel, the presentation and interactivity of these geospatial applications. The UX/UI Design of the application improves the user experience and customer satisfaction that ultimately helps increase the number of users of the specific application – in the geospatial domain UX/UI Design is even more crucial due to the high density of information gathered by map elements.
A collaborative brainstorming and planning session for stakeholders, designers and developers.
We research your audience, observe your data workflow and analyze the data until we comprehend it.
We weave typography, color, interaction and geospatial data into sketches, wireframes, mockups and code.
Throughout the process we build interactive prototypes of increasing fidelity and evaluate their use.