Bellevue, 98004, WA,
United States
EagleView Technologies Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by EagleView Technologies and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 EagleView Technologies employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that EagleView Technologies has purchased the following applications: Apache MXNet for AI Frameworks and Libraries in 2018, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2016, Hubspot Live Chat for Chatbots and Conversational AI in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems EagleView Technologies is running and its propensity to invest more and deepen its relationship with Apache Software , Microsoft , Amazon Web Services (AWS) 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 EagleView Technologies revenues, which have grown to $140.0 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 EagleView Technologies 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Apache Software | Legacy | Apache MXNet | AI Frameworks and Libraries | AI Development | n/a | 2018 | 2018 | In 2018, EagleView Technologies implemented Apache MXNet Category "" to build deep learning models that analyze aerial and satellite imagery for rapid property damage assessment for insurance clients. The deployment focused on automated image classification and per address damage scoring workflows to enable assessments within 24 hours after disasters. Apache MXNet was used to train convolutional neural network models and deploy them into a production inference pipeline, leveraging GPU accelerated training on cloud infrastructure. The implementation included data preprocessing, model training, evaluation, and model level scoring capabilities to produce per address damage assessments. The US based deployment scaled on AWS GPU instances and used Amazon ECS for production inference, instrumenting GPU backed containers for real time batch processing of post event imagery. Operational coverage centered on insurance claims and property assessment teams, with production inference integrated into EagleView operational pipelines for rapid turnaround. Governance emphasized model evaluation and comparability to human adjusters, the project reported model level accuracy comparable to human adjusters, for example about 96% per address accuracy in a published case. The architecture combined Apache MXNet with cloud GPU scaling and containerized inference on ECS to support time sensitive insurance workflows. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2016 | 2016 | ||
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2020 | 2020 |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2016 | 2016 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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CRM | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2015 | 2015 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2020 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Identity and Access Management (IAM) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2015 | 2015 |
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Security Orchestration, Automation, and Response (SOAR), Vulnerability Management | CyberSecurity |
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2020 | 2021 |
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Vulnerability Management | CyberSecurity |
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2020 | 2021 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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ERP Financial | ERP Financial Management |
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2015 | 2015 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Incident Management | ITSM |
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2019 | 2019 |
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IT Service Management | ITSM |
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2019 | 2019 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Learning and Development | HCM |
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2022 | 2022 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Web Content Management | Content Management |
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2012 | 2012 |
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Web Content Management | Content Management |
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2011 | 2011 |
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