Houston, 77019, TX,
United States
PowerSetter Technographics
PowerSetter Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by PowerSetter and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 PowerSetter employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that PowerSetter has purchased the following applications: Stripe Payments for Payment Processing in 2023, Apolo AI Platform for ML and Data Science Platforms in 2024, Vimeo Online Video Editor for Video Editing in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems PowerSetter is running and its propensity to invest more and deepen its relationship with Stripe , Apolo , Vimeo 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 PowerSetter revenues, which have grown to $8.0 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 PowerSetter 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.
PowerSetter Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stripe | Legacy | Stripe Payments | Payment Processing | ERP Financial Management | n/a | 2023 | 2023 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apolo | Legacy | Apolo AI Platform | ML and Data Science Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, PowerSetter implemented Apolo AI Platform to provision a GPU Hub and an AI-centric ecosystem for its energy comparison service in the United States, using the AI/ML + GPU infrastructure model to accelerate data processing and personalized recommendations. The deployment targeted real-time personalization workflows and model-driven customer recommendations for the company’s US-facing platform, aligning the Apolo AI Platform with PowerSetter’s operational goals.
The implementation combined Apolo’s GPU Hub for pooled GPU compute with AI model training and inference orchestration, configuring training pipelines, model versioning, and inference endpoints to support continuous personalization. Configuration work emphasized GPU resource scheduling and automated model deployment pipelines consistent with AI/ML operational patterns, enabling both batch and lower-latency inference for recommendation generation.
Operational integration tied the Apolo AI Platform directly to PowerSetter’s energy comparison application in the US, feeding processed data into the recommendation engine and closing the loop on personalized user outputs. The implementation scope focused on the customer-facing recommendation function and backend data processing layers, without broader platform replacement language.
Outcomes reported in the case study include reduced HPC costs and faster, more real-time personalization, with the project reporting roughly $6,300 per month savings on HPC spend. The narrative reflects a concentrated AI/ML plus GPU infrastructure deployment using Apolo AI Platform to centralize high-performance compute for model training and inference across PowerSetter’s energy comparison workflows.
|
Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Vimeo | Legacy | Vimeo Online Video Editor | Video Editing | Content Management | n/a | 2017 | 2017 |
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Product Information Management | eCommerce |
|
2017 | 2017 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Experience | CRM |
|
2019 | 2019 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2024 | 2024 |
|
|
|
|
|
Marketing Automation | CRM |
|
2020 | 2020 |
|
|
|
|
|
Tag Management | CRM |
|
2017 | 2017 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2023 | 2023 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2018 | 2018 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2020 | 2020 |
|
CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Security (AppSec) | CyberSecurity |
|
2017 | 2017 |
|
|
|
|
|
Application Security (AppSec) | CyberSecurity |
|
2024 | 2024 |
|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2016 | 2016 |
|
|
|
|
|
Secure Sockets Layer (SSL) | CyberSecurity |
|
2020 | 2020 |
|
|
|
|
|
Web Application Firewalls (WAF) | CyberSecurity |
|
2024 | 2024 |
|
IT Decision Makers and Key Stakeholders at PowerSetter
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by PowerSetter Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||