AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Willdom Data, Technology Stack, and Enterprise Applications
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
OpenAI Legacy OpenAI GPT-3 Generative AI Platforms AI Development n/a 2021 2021
In 2021, Willdom implemented OpenAI GPT-3 as a core component of a Generative AI Platforms initiative to support LLM and NLP classification use cases across client product work and internal data science efforts. The initial implementation focused on delivering model inference endpoints and scalable data pipelines that handle large structured and unstructured datasets, developed using Databricks, PySpark and Python and operationalized with Azure ML. The deployment included functional modules for model training pipelines, LLM inference endpoints, traditional NLP classification, and rules-based text processing using regular expressions. OpenAI GPT-3 powered the LLM inference endpoints while other models such as BERT and transformer-based architectures were used for complementary NLP tasks, and containerization with Docker and Kubernetes was used to manage model-serving workloads. Integrations were explicitly implemented with Azure ML for MLOps, Databricks for data engineering, Azure Storage, SQL Server and MongoDB for persistence, and Power BI for internal monitoring dashboards. CI/CD and code management were executed through Git and Azure DevOps, and ML components were integrated into the product application layer using C# to accelerate production delivery. Governance and delivery followed a custom agile framework blending Scrum, Kanban and Azure DevOps workflows to manage sprint-level experimentation and production releases. Reported outcomes included project-level F1 scores between 70 and 90 percent depending on complexity, a deployed data and prediction drift module that enabled preventive retraining of three degrading models, and a C# integration that shortened ML integration time by approximately 10 percent.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
HubSpot Legacy Hubspot Live Chat Chatbots and Conversational AI AI-Powered Application n/a 2022 2022
Chatbots and Conversational AI AI-Powered Application 2022 2022
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2015 2015
Collaboration Collaboration 2022 2022
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM CRM 2023 2023
Customer Experience CRM 2016 2016
Digital Advertising Platform CRM 2023 2023
Marketing Analytics CRM 2022 2022
Marketing Automation CRM 2016 2016
Marketing Automation CRM 2020 2020
Marketing Automation CRM 2021 2021
Tag Management CRM 2020 2020
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IT Service Management ITSM 2022 2022
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2015 2015
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2022 2022
Content Delivery Network IaaS 2023 2023
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2023 2023
IT Decision Makers and Key Stakeholders at Willdom
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Willdom Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Willdom Technographics

Willdom is a Professional Services organization based in United States, with around 192 employees and annual revenues of $20.0 million.

Willdom operates a diverse technology stack with applications such as OpenAI GPT-3, Hubspot Live Chat and Google Workspace (Formerly Google G-Suite), covering areas like Generative AI Platforms, Chatbots and Conversational AI and Collaboration.

Willdom has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as OpenAI, HubSpot and Google.

Willdom recently adopted applications including Hubspot CRM in 2023, HubSpot Ads in 2023 and Cloudflare CDN in 2023, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Willdom’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Willdom’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 Willdom technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.