Descartes Labs, a well-funded startup based in New Mexico, provides businesses with geospatial data and the tools to analyze and make business decisions. Today, the company announced the launch of its Descartes Labs platform, which promises to bring its data together with all the tools that data scientists – even with no background in analyzing this type of information – need to analyze these images and based on them to create machine learning models.
Descartes Labs CEO Phil Fraher, who held this position just a few months ago, told me that the company's current business often involves a lot of consulting work and its clients have started. These customers range from energy and mining companies to government agencies to financial service providers and agricultural companies. However, many do not have the internal know-how to use the data provided by Descartes Labs immediately.
“For the most part, we still need to evangelize how geospatial data is used to solve business problems. That is why many of our customers rely on us for advice, ”said Fraher. "But what's really interesting is that even some of our existing customers are now hiring more early adopters, more business and analytics teams, and data scientists to focus on geospatial data. The exciting thing about this launch is that we have our platform tool now in the hands of those who can now do their own work. ”
In many ways, this new platform gives these customers access to the tools and data that the Descartes Labs team uses and that enable them to do so work with the company to solve their problems and use the new modeling tools to create solutions for their individual companies.
“Formerly a data science team who worked in a company. Anyone who is interested in such an analysis must also know how to process very large or petabyte Earth observation records, "said Fraher." These are d very unique and specific skills, and because of this type of entry barrier, adoption of some of these technologies and data sources has been slow. ”
To help more companies get started The company is working with this data ( and becomes a customer of Descartes Labs) and relies on the industry-standard tools with hosted Jupyter notebooks, Python support and a number of APIs. It also includes tools that clean up incoming data from Descartes partners to make it useful for data scientists.
"It's not just a simple ETL-like data processing pipeline," said Descartes Labs Head of Engineering Sam Skillman. "It's something where we have to combine very thorough data science, remote sensing, and extensive computational functions to bring all this data in a way that normalizes it and prepares it for analysis."
All of these analyzes are handled in the cloud, with AWS being the Descartes Labs cloud of choice.
The new platform is now available to companies who want to try it out.