AI Buyer Insights:

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cazar Tech Stack and Enterprise Applications

Cazar AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms AI Development n/a 2016 2017
In 2016, Cazar implemented Microsoft Azure Machine Learning as part of its move onto Microsoft Azure, adopting ML and Data Science Platforms to introduce model-driven capabilities into its cloud-native services. Cazar is a Dubai based professional services firm known for its Sniperhire e recruitment technology, and the CTO cited access to platform as a service features and better ways to run infrastructure as the primary drivers for adopting Microsoft Azure Machine Learning. The deployment focused on core ML lifecycle capabilities typical of ML and Data Science Platforms, including experiment management, model training orchestration, automated model selection workflows, pipeline automation, model registry and REST based model deployment. Microsoft Azure Machine Learning was configured to support repeatable training runs, artifact versioning and automated pipelines to move models from experimentation to production. Operationally the Microsoft Azure Machine Learning implementation was aligned with the Sniperhire application, enabling data science workloads to be operationalized alongside the e recruitment platform. The architecture leveraged Azure PaaS compute and storage to provide elastic training capacity and hosted inference endpoints, supporting recruitment analytics and candidate matching use cases within Cazar’s existing product footprint. Governance changes centered on introducing model version control, experiment tracking and role based practices for data scientists and platform engineers, coupled with automated deployment workflows to standardize releases of models into production. The move to Microsoft Azure Machine Learning followed Cazar’s broader cloud migration and was positioned to centralize machine learning operations without referencing a named prior system.
Cazar Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft 365 Collaboration Collaboration n/a 2020 2020
In 2020, Cazar implemented Microsoft 365 to support Collaboration across the firm. The Microsoft 365 deployment provides core Collaboration capabilities including corporate email, document collaboration, cloud storage, and identity-based access control, configured to support professional services workflows. The implementation is sized for an organization of about 100 employees and emphasizes internal collaboration and knowledge sharing among delivery and corporate teams. Microsoft 365 is surfaced on Cazar's public website, indicating integration points between the corporate site and the collaboration environment such as authentication flows and hosted content references. Operational coverage spans corporate functions including delivery, HR, and corporate operations, with centralized tenant administration and governance focused on access management and shared document lifecycle control.
Survey and Questionnaire Collaboration 2017 2017
Cazar PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Amazon Web Services (AWS) Legacy Amazon SES Transactional Email PaaS n/a 2020 2020
In 2020 Cazar implemented Amazon SES as its Transactional Email solution to handle website-originated messaging for the United Arab Emirates operation. The implementation centers on using Amazon SES for outbound transactional workflows tied to the corporate website, providing the application layer for notifications, confirmations, and user contact responses. Amazon SES was configured to support standard Transactional Email capabilities, including API and SMTP sending endpoints, verified sending domains, SPF and DKIM authentication, and templated message payloads for consistent notification formats. The configuration also included bounce and complaint handling and rate management consistent with Amazon SES operational patterns. The integration surface is the website backend where Amazon SES is invoked to send event-driven messages from contact forms and user account workflows, centralizing message orchestration in the cloud email service. Governance focused on verified domain and identity management, inbox placement safeguards, and operational ownership by the web operations team for template updates, sending policies, and handling of bounce and complaint notifications.
Cazar IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2019 2019

IT Decision Makers and Key Stakeholders at Cazar

First Name Last Name Title Function Department Email Phone
Chief Technology Officer CXO IT
Chief Executive Officer CXO Finance

Apps Being Evaluated by Cazar Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Cazar IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Cazar digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Cazar Technographics
Cazar is a Professional services organization based in United Arab Emirates, with around 100 employees and annual revenues of $20.0 million.
Cazar operates a diverse technology stack with applications such as Microsoft Azure Machine Learning, Microsoft 365 and Amazon SES, covering areas like ML and Data Science Platforms, Collaboration and Transactional Email.
Cazar has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft and Amazon Web Services (AWS).
Cazar recently adopted applications including Microsoft 365 in 2020, Amazon SES in 2020 and Microsoft Azure Cloud Services in 2019, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Cazar’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Cazar’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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