Abjad AI Technographics
Abjad AI Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Abjad AI and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 25 Abjad AI employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Abjad AI has purchased the following applications: Oracle OCI AI Infrastructure for AI infrastructure in 2026, Oracle Cloud Infrastructure for Application Hosting and Computing Services in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Abjad AI is running and its propensity to invest more and deepen its relationship with Oracle , Cloudflare 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 Abjad AI revenues, which have grown to $2.0 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 Abjad AI 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.
Abjad AI Tech Stack and Enterprise Applications
Abjad AI AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle OCI AI Infrastructure | AI infrastructure | AI Development | n/a | 2026 | 2026 |
In 2026, Abjad AI expanded its Oracle OCI AI Infrastructure by provisioning additional GPU capacity inside its existing Oracle Cloud Infrastructure environment to scale Arabic-language generative AI workloads. The AI infrastructure expansion is anchored on increased GPU-backed compute to support larger model training runs and higher concurrency for inference, aligning with the companys product roadmap for new Arabic-language AI solutions.
Abjad AI configured the Oracle OCI AI Infrastructure to prioritize model training throughput and inference scalability, extending core MLOps workflows and compute orchestration typical of AI infrastructure deployments. The implementation targets engineering and product development teams in Saudi Arabia, centralizing GPU capacity to accelerate iterative model development and deployment. Abjad AI expects the additional capacity to improve performance and scalability and help accelerate the development of new products.
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Abjad AI IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud Infrastructure | Application Hosting and Computing Services | IaaS | n/a | 2025 | 2025 |
In 2025, Abjad Saudi Arabia deployed Oracle Cloud Infrastructure. Abjad Saudi Arabia implemented Oracle Cloud Infrastructure for Application Hosting and Computing Services to host production Arabic AI models, natural language processing workloads, and tokenization pipelines for clients in Saudi Arabia and the wider region.
Implementation centered on GPU accelerated compute for model training and inference, scalable object storage for large model artifacts and corpora, and container orchestration for repeatable model deployment. Oracle Cloud Infrastructure was configured to support model serving, batched and real time inference, and data preprocessing workflows that enable tokenization and NLP pipelines. Configuration followed standard cloud operational patterns for compute provisioning, autoscaling, and storage lifecycle management.
The deployment integrated with Abjad AI's internal training and MLOps pipelines, consolidating model versioning, deployment automation, and monitoring onto the Oracle Cloud Infrastructure platform. Operational coverage focused on engineering and R and D teams within Abjad Saudi Arabia, a 25 employee organization, while production endpoints delivered AI capabilities to customer engagements across the region. Networking and access controls were implemented to isolate model serving resources and to enforce role based access in development and production environments.
Governance emphasized model lifecycle controls and operational monitoring to sustain Arabic language model accuracy and tokenization performance on Oracle Cloud Infrastructure. The Oracle Cloud Infrastructure implementation for Application Hosting and Computing Services supports Abjad AI's objective to provide advanced Arabic AI solutions and is designed to empower organizations and enhance their digital transformation journeys. The architecture centralizes compute and storage for NLP workloads, streamlining ongoing development and client delivery.
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Content Delivery Network | IaaS |
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2025 | 2025 |
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IT Decision Makers and Key Stakeholders at Abjad AI
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Apps Being Evaluated by Abjad AI Executives
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