AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Contextual AI Tech Stack and Enterprise Applications

Contextual AI HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Greenhouse Legacy Greenhouse ATS Applicant Tracking System HCM n/a 2023 2023
Contextual AI AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Compute Engine A3 ML and Data Science Platforms AI Development n/a 2023 2023
In 2023, Contextual AI began using Google Compute Engine A3 as part of its ML and Data Science Platforms strategy with Google Cloud named as the preferred cloud provider. The announcement specifies use of GPU VMs including Google Compute Engine A3 (H100) and A2 (A100) for building and training enterprise large language models, with a focus on retrieval augmented generation enabled enterprise AI use cases in the United States and targeting ML model training and inference for enterprise applications. Contextual AI configures Google Compute Engine A3 for scalable model development workflows and production inference serving, implementing standard ML platform capabilities such as distributed GPU training clusters, data preprocessing and feature pipelines, fine tuning of LLMs, and retrieval augmented generation pipelines. The deployment emphasizes autoscaling compute to support iterative model development and deployment, and uses orchestration of training jobs to manage GPU resource utilization across development and production workloads. The implementation is centered on Google Cloud infrastructure and aligns inference endpoints with enterprise data retrieval layers to support RAG workflows without naming external vendors. Operational scope is the United States and the initiative is positioned to support enterprise application use cases by centralizing model training and inference on Google Compute Engine A3 while instituting controlled rollout and orchestration practices to govern model promotion into production.
Contextual AI Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Workspace (Formerly Google G-Suite) Collaboration Collaboration n/a 2023 2023
Contextual AI CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Tag Management CRM 2023 2023
Contextual AI IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2023 2023
Application Hosting and Computing Services IaaS 2020 2020
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2023 2023

IT Decision Makers and Key Stakeholders at Contextual AI

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Contextual AI Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Contextual AI IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Contextual AI digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Contextual AI Technographics
Contextual AI is a Professional Services organization based in United States, with around 50 employees and annual revenues of $5.0 million.
Contextual AI operates a diverse technology stack with applications such as Greenhouse ATS, Google Compute Engine A3 and Google Workspace (Formerly Google G-Suite), covering areas like Applicant Tracking System, ML and Data Science Platforms and Collaboration.
Contextual AI has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Greenhouse and Google.
Contextual AI recently adopted applications including Greenhouse ATS in 2023, Google Compute Engine A3 in 2023 and Google Workspace (Formerly Google G-Suite) in 2023, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Contextual AI’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Contextual AI’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 Contextual AI technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.