Louisville, 80027-2452, CO,
United States
Gaia, Inc. Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Gaia, Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Gaia, Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Gaia, Inc. has purchased the following applications: Sage Intacct for ERP Financial in 2024, Qubole Platform for ML and Data Science Platforms in 2020, Microsoft 365 for Collaboration in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Gaia, Inc. is running and its propensity to invest more and deepen its relationship with Sage , Zuora , Qubole 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 Gaia, Inc. revenues, which have grown to $79.6 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 Gaia, Inc. 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 |
|---|---|---|---|---|---|---|---|---|
| Sage | Legacy | Sage Intacct | ERP Financial | ERP Financial Management | n/a | 2024 | 2024 |
|
|
|
|
|
Subscription and Recurring Billing | ERP Financial Management |
|
2021 | 2021 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Qubole | Legacy | Qubole Platform | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020, Gaia, Inc. implemented Qubole Platform on AWS to deploy an ML-based recommendation engine for content personalization. The deployment is categorized as ML and Data Science Platforms and was focused on personalization for Gaia's media and streaming service in the United States.
The Qubole Platform implementation centralized Spark clusters and XGBoost model workflows to support both batch and near real time scoring, with pipelines for data preparation, model training, and scheduled model promotion. Configuration emphasized Spark job orchestration and XGBoost model execution as core functional capabilities, enabling automated training runs and repeatable model deployments within the Qubole environment.
Architecturally the solution ran on AWS infrastructure with Qubole managing compute elasticity and Spark orchestration, and models served into Gaia's content delivery and personalization stack to influence viewer recommendations. Operational scope included personalization and analytics workflows, and the implementation impacted engineering and content teams responsible for model iteration and content targeting.
Governance work introduced model orchestration and monitoring practices to manage production model versions and troubleshooting workflows. Within eight months of going live, Qubole Platform powered Spark/XGBoost models drove about a 50% lift in average minutes watched and materially reduced engineering troubleshooting time.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2016 | 2016 |
|
|
|
|
|
Collaboration | Collaboration |
|
2016 | 2016 |
|
|
|
|
|
Collaboration | Collaboration |
|
2023 | 2023 |
|
|
|
|
|
Online Meeting Scheduling | Collaboration |
|
2021 | 2021 |
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Personalization and Product Recommendations | eCommerce |
|
2018 | 2018 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Engagement | CRM |
|
2021 | 2021 |
|
|
|
|
|
Customer Support | CRM |
|
2019 | 2019 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2015 | 2015 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2021 | 2021 |
|
|
|
|
|
Tag Management | CRM |
|
2021 | 2021 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2015 | 2015 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2019 | 2019 |
|
|
|
|
|
Transactional Email | PaaS |
|
2020 | 2020 |
|
|
|
|
|
Transactional Email | PaaS |
|
2016 | 2016 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2016 | 2016 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2015 | 2015 |
|
|
|
|
|
Cloud Storage | IaaS |
|
2017 | 2017 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||