Spatialedge

We are a big data and applied machine learning solutions consultancy, enabling companies to build and operationalize robust machine learning models rapidly. 

We empower data science teams to deliver significantly more value to business faster and more reliably by providing a toolkit consisting of engineers, data science specialists, open-source and bespoke software, and training programs. With that toolkit, we construct a machine-learning model factory that can be leveraged to deploy and manage models continuously.

The benefit of data science is more than just once-off insights from models running in notebooks; it is putting in place a sustainable solution that can continuously provide the insights to the right people at the right time. More than that, it provides insights to other machines or embedded in your applications to benefit your customers.

We assist clients through the whole data engineering and data science lifecycle, from identifying the most significant problems to deploying machine learning models and integrating them with the organization. We further reduce development risk through agile, iterative development and leveraging commercial and open-source software.

The opportunity cost of not correctly operationalizing machine learning models is very high. That is why we specialize in doing it fast yet correctly.

We have extensive experience working with prominent data vendors, including the Cloudera stack (Hive, Spark, Kafka, etc.), Confluent Kafka, and the leading cloud providers (AWS, Azure, and Google Cloud Platform).