AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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 Email Phone
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Apps Being Evaluated by PowerSetter Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from PowerSetter IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the PowerSetter digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD PowerSetter Technographics
PowerSetter is a Utilities organization based in United States, with around 50 employees and annual revenues of $8.0 million.
PowerSetter operates a diverse technology stack with applications such as Stripe Payments, Apolo AI Platform and Vimeo Online Video Editor, covering areas like Payment Processing, ML and Data Science Platforms and Video Editing.
PowerSetter has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Stripe, Apolo and Vimeo.
PowerSetter recently adopted applications including Apolo AI Platform in 2024, Microsoft Clarity in 2024 and hCaptcha in 2024, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of PowerSetter’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates PowerSetter’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete PowerSetter technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.