AI infrastructure

Enterprise AI Infrastructure

Rabeeb is built on a modular, enterprise-grade AI architecture. Text, vision, and reasoning are powered by Azure OpenAI, while Gemini drives advanced image and video generation. The infrastructure is secured by multi-tenant RLS, powered by pgvector for semantic retrieval, and orchestrated through a robust flow-based architecture.

Company context

Rabeeb is developed by Marketing Dot Limited, a Bahrain-registered company building for Arabic-speaking and regional marketing teams.

Workflow examples

1

Orchestrate flow-based AI tasks

Execute long-running, asynchronous marketing workflows seamlessly through our robust Flow-Based Architecture.

2

Scale multimodal generation

Generate rich visual and video assets using specialized models, seamlessly integrated into your creative campaigns.

Platform context

Rabeeb product area

Interface preview

Sanitized product screenshots show the workspace shape without exposing private organization links or customer identifiers.

Sanitized conversational AI surface screenshot

Conversational AI surface

The chat interface is one of the visible surfaces powered by Rabeeb’s provider-routed AI layer.

Sanitized retrieval and grounding screenshot

Retrieval and grounding

Knowledge readiness shows how documents, chunks, embeddings, and retrieval health support grounded answers.

Sanitized workflow orchestration screenshot

Workflow orchestration

Workflow templates and approval handoffs show how AI output moves into reviewable operations.

Capabilities

Platform capabilities

Provider-routed AI layer

The architecture intelligently routes workloads—using Azure OpenAI for reasoning and text, and Gemini for rich media generation.

Advanced OCR & semantic search

Deep document ingestion handles 600+ page books, backed by pgvector embeddings for highly accurate, business-contextual retrieval.

Adaptive AI personas

AI behavior adapts dynamically to the workspace type—whether Personal, Business, or Education—providing tailored strategic guidance.

Enterprise security & multi-tenancy

All AI operations strictly respect Row-Level Security (RLS) policies, ensuring absolute data isolation across schemas and organizations.

Review context

What this shows publicly

Scalable memory system

AI recall intelligently separates emotional connections and personality facts from tool-based analytics for deep personalization.

Native Arabic capability

Engineered from the ground up to deliver exceptional Arabic and Gulf-context reasoning across all operational workflows.

Deep product integration

AI is natively embedded across operations, routing inputs intelligently rather than relying on a standalone prompt box.

Want to review Rabeeb in more detail?

Request a walkthrough or contact the team for company documents, product screenshots, architecture context, or demo access.