Apps Run The World

Snow Leopard Trust Software Purchases and Digital Transformation Initiatives

Discover the latest software purchases and digital transformation initiatives being undertaken by Snow Leopard Trust and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 60 Snow Leopard Trust employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.

During our research, we have identified that Snow Leopard Trust has purchased the following applications: Microsoft Azure Machine Learning for Machine Learning and Data Science Platform in 2017, Salesforce Sales Cloud for Sales Automation,CRM,Sales Engagement in 2011, DreamHost for Application Hosting and Computing Services in 2021 and the related IT decision-makers and key stakeholders.

Our database provides customer insight and contextual information on which enterprise applications and software systems Snow Leopard Trust is running and its propensity to invest more and deepen its relationship with Microsoft , Salesforce , DreamHost or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.

We have been analyzing Snow Leopard Trust revenues, which have grown to $6.0 million in 2021, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Snow Leopard Trust intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.

About the Customer

Founded in 1981, the Snow Leopard Trust is the world's leading authority on the study and protection of the endangered snow leopard. The Snow Leopard Trust use a diverse combination of programs to ensure the survival of the endangered snow leopard. They place our focus on partnering with communities in key snow leopard habitat areas, addressing their needs as well as the needs of the cats. By using the latest science to develop groundbreaking research techniques, they can best understand the wildlife-human conflict and identify potential resources for protecting this incredible big cat.

Scope and Challenges

Endangered snow leopards have proven difficult to study due to their remote habitat, expansive range, and elusive nature. In an attempt to gather data, biologists have set up motion-sensitive cameras in snow leopard territory. Over the years, more than 1 million images have been captured, but the classification process has been time-consuming. But the manual image sorting was a time-consuming and costly process. In fact, it takes around 300 hours per camera survey.

To solve this problem, the Snow Leopard Trust worked with Microsoft to build an image classification model using Azure Machine Learning, which includes Microsoft Machine Learning for Apache Spark. Rather than taking several hours, automated image classification can now be completed in three minutes.

Outcome and Implications

By using Azure Machine Learning, Snow Leopards increased their rate of experimentation and were able to try out many models. 

Azure Machine Learning provides data preparation tools, an interactive interface for manipulating data, as well as the ability to operationalize the model at scale. 

Working with Azure Machine Learning meant that the company could start exploring our entire dataset, instead of just what would fit in a single machine. That really opened up the possibilities for processing their enormous backlog of unclassified images using the classification algorithm. After developing the algorithm, Microsoft provided the company with a custom web service that specialized in a classification of snow leopards.

"With Azure Machine Learning, we can automate the image classification process to feed our scientific models. The data preparation tool helps us combine years of data into an organized and complete source. This frees up our scientists to spend more time on snow leopard conservation.” - said, Rhetick Sengupta, Board President, Snow Leopard Trust.


Snow Leopard Trust
4649 Sunnyside Ave N, Suite 325
Seattle, 98103 , WA
United States
1 206-632-2421
Industry Employees Revenue
Non Profit 60 $6.0M

Enterprise Software and Cloud Applications being used by Snow Leopard Trust

Vendor Old Product New Product Category Market Users VAR/SI When Live
Intuit Legacy Applications Intuit Mailchimp Mandrill Transactional Email PaaS n/a n/a 2016 2016
Vendor Old Product New Product Category Market Users VAR/SI When Live
DreamHost Legacy Applications DreamHost Application Hosting and Computing Services IaaS n/a n/a 2021 2021
Vendor Old Product New Product Category Market Users VAR/SI When Live
Microsoft Legacy Applications Microsoft Azure Machine Learning Machine Learning and Data Science Platform Artificial Intelligence n/a n/a 2017 2017

IT Decision Makers and Key Stakeholders at Snow Leopard Trust

First Name Last Name Title Email Phone
Subscribe Subscribe Principal Program Manager Subscribe Subscribe
Subscribe Subscribe Technology Director Subscribe Subscribe