Seattle, 98103, WA,
United States
Snow Leopard Trust Technographics
Snow Leopard Trust Technographics, Software Purchases, AI 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: Stripe Payments for Payment Processing in 2020, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2012 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 Stripe , Microsoft , Google 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 2024, 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.
Snow Leopard Trust Tech Stack and Enterprise Applications
Snow Leopard Trust ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP | n/a | 2020 | 2020 |
In 2020, Snow Leopard Trust implemented Stripe Payments for Payment Processing on its website. The implementation used Stripe Payments to capture online donations and card transactions through embedded web checkout flows and standard payment capture capabilities, aligning with Payment Processing functional workflows such as secure card tokenization, hosted payment pages, and support for one time and recurring donations. The deployment focused on the public website payment layer and centralized online gift capture for the organization.
Operational ownership for Stripe Payments sits with fundraising and finance functions, where transaction records and donor receipts are accessed for reconciliation and stewardship. Governance around payment handling emphasized secure payment capture and donor transaction visibility, with the Stripe Payments implementation serving as the primary Payment Processing channel for the charity's online fundraising operations.
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Snow Leopard Trust AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017, Snow Leopard Trust worked with Microsoft to build an image classification model using Microsoft Azure Machine Learning. The implementation targeted a corpus of more than 1 million images collected from motion sensitive cameras in remote snow leopard territory, automating a manual classification process that previously consumed field researchers for several hours per batch.
The deployment used Microsoft Azure Machine Learning together with Microsoft Machine Learning for Apache Spark to enable scalable model training and distributed data processing, applying image preprocessing, feature extraction, and batch scoring workflows typical of ML and Data Science Platforms. Microsoft Azure Machine Learning provided orchestration for training iterations and automated scoring pipelines that moved classification from human review toward repeatable model inference.
Operationally the solution centralized image ingestion and automated labeling workflows for the trusts biologists and research teams, shifting the image classification task into a managed pipeline supporting field operations and conservation research. As a result automated image classification can now be completed in three minutes, freeing analyst time previously devoted to manual sorting and allowing conservation staff to focus on core conservancy work.
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Snow Leopard Trust Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2012 | 2012 |
In 2012, Snow Leopard Trust implemented Google Workspace (Formerly Google G-Suite) for Collaboration. The organization lists Google Workspace (Formerly Google G-Suite) on its public website, confirming use of Google’s cloud-hosted collaboration suite. The deployment centers on domain-based provisioning and administration via the Google Admin console, delivering email, calendaring, Drive storage, and collaborative document editing to staff and volunteers. Functional use aligns with Collaboration capabilities such as shared drives, group email, and real-time document collaboration used across program and administrative teams.
Operational scope covers administrative, fundraising, and program communications with centralized user account management and access control configured in Google Workspace. Governance practices are implemented through the admin console for account provisioning, group membership, and security settings applied across the organization. The implementation reflects a cloud SaaS architecture oriented to collaboration workflows, without disclosure of named integrations or external system connections.
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Snow Leopard Trust eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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eCommerce | eCommerce |
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2020 | 2020 |
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Shipping Management | eCommerce |
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2023 | 2023 |
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Snow Leopard Trust CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Account Based Marketing | CRM |
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2023 | 2023 |
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CRM | CRM |
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2016 | 2016 |
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Customer Experience | CRM |
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2017 | 2017 |
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Customer Experience | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2011 | 2011 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2011 | 2011 |
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Snow Leopard Trust ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2019 | 2019 |
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Snow Leopard Trust PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2016 | 2016 |
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Snow Leopard Trust IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Snow Leopard Trust
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Principal Program Manager | Manager | Finance | ||||
| Technology Director | Director | IT |
Apps Being Evaluated by Snow Leopard Trust Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||