Cupertino, 95014, CA,
United States
Falkonry Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Falkonry and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 70 Falkonry employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Falkonry has purchased the following applications: Intuit QuickBooks Online for ERP Financial in 2014, Breezy HR Attract for Recruiting, Applicant Tracking System in 2019, NVIDIA AI Platform for ML and Data Science Platforms in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Falkonry is running and its propensity to invest more and deepen its relationship with Intuit , Breezy HR , NVIDIA 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 Falkonry revenues, which have grown to $11.0 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 Falkonry 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Intuit | Legacy | Intuit QuickBooks Online | ERP Financial | ERP Financial Management | n/a | 2014 | 2014 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Breezy HR | Legacy | Breezy HR Attract | Recruiting, Applicant Tracking System | HCM | n/a | 2019 | 2019 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| NVIDIA | Legacy | NVIDIA AI Platform | ML and Data Science Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, Falkonry implemented the NVIDIA AI Platform alongside its Insight application to operationalize edge-based anomaly detection. The NVIDIA AI Platform is used within a ML and Data Science Platforms implementation to support automated, structured high-speed anomaly detection at the edge.
The implementation centered on Falkonry Insight's anomaly detection pipeline, including high-velocity telemetry ingestion, real-time inference, and structured event detection modules. NVIDIA Accelerated Computing was leveraged to handle inference workloads and performance sensitive processing, while the NVIDIA AI Platform provided platform level orchestration and runtime for models and data pipelines.
Edge deployment was executed on Oracle Edge Infrastructure nodes, integrating Insight with maritime shipboard operational environments to provide local inference where telemetry is generated. The operational scope targeted equipment reliability and performance monitoring, impacting reliability engineering, maintenance operations, and fleet operations workflows.
Governance and rollout emphasized model governance, phased edge provisioning, and alignment of detection outputs with maintenance workflows and operational decision making. The combined architecture of NVIDIA AI Platform, NVIDIA Accelerated Computing, Falkonry Insight, and Oracle Edge Infrastructure enabled an edge first approach to anomaly detection, supporting increased equipment reliability and performance as stated in the source.
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ML and Data Science Platforms | AI Development |
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2021 | 2021 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2015 | 2015 |
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Collaboration | Collaboration |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2019 | 2019 |
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Tag Management | CRM |
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2017 | 2017 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management | PaaS |
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2022 | 2022 |
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Apps Development | PaaS |
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2021 | 2021 |
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Apps Development | PaaS |
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2021 | 2021 |
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Transactional Email | PaaS |
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2015 | 2015 |
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Transactional Email | PaaS |
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2016 | 2016 |
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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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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Cloud Storage | IaaS |
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2021 | 2021 |
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Container Service | IaaS |
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2021 | 2021 |
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Container Service | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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