Clear answers about private enterprise AI in Jordan.

Rennix AI is a Jordan-based company that builds private enterprise AI platforms, intelligent agents, business intelligence, computer vision, learning intelligence, and AI-assisted medical-imaging workflows for Arabic and English organizations in Jordan and MENA.

Yes. Rennix AI is based in Amman, Jordan, and provides local engineering, implementation, integration, and support for organizations in Jordan and the wider Middle East and North Africa region.

Private or on-premise AI means the system is designed around an organization’s approved infrastructure, identities, access controls, and data boundaries. The chosen architecture can run inside a customer facility, private cloud, local hosting environment, or at the edge.

It can when the approved architecture keeps processing, storage, model access, and integrations inside Jordan or within the organization’s own environment. This must be confirmed for each use case because deployment requirements and external dependencies differ.

Yes. Rennix AI builds Arabic and English interfaces and workflows, including enterprise search, retrieval-augmented generation, business questions, Text-to-SQL, and guided learning. Exact dialect, terminology, and evaluation requirements are confirmed during discovery.

RennixEye is a private video-intelligence product for existing CCTV, NVR, and VMS infrastructure. It can support operational, safety, and security use cases through local or edge analysis, evidence, events, and alerts.

RennixBayan is a governed business and decision-intelligence product. It lets approved users ask questions in Arabic or English, works with enterprise data and Text-to-SQL workflows, and returns traceable answers, charts, and KPIs.

RennixBoard is a private bilingual learning-intelligence platform for universities and schools. It combines grounded tutoring, guided learning, assessment, engagement analytics, and instructor or institutional oversight while integrating with existing education systems.

RennixMed supports AI-assisted medical-imaging workflows. It is designed to assist qualified healthcare professionals and organizational processes; it does not replace clinical judgment, diagnosis, or the governance responsibilities of a healthcare provider.

Rennix AI designs agents for bounded enterprise work such as searching approved knowledge, preparing cited summaries, routing requests, and using permitted tools. Identity, permissions, audit trails, approval points, timeouts, and recovery paths are part of the design.

A pilot begins with a specific operational problem, representative approved data, required integrations, risks, and measurable acceptance criteria. The team then designs, tests, evaluates, and documents a production path before a wider commitment is made.

Yes, subject to technical and security discovery. Integrations can involve approved APIs, identity providers, databases, document repositories, CCTV or VMS infrastructure, learning-management systems, and enterprise reporting tools.

No. Model and architecture choices depend on the business problem, language, data, privacy, latency, quality, hardware, integration, and operating requirements. Rennix AI starts with those constraints rather than assuming one model fits every workload.

Rennix AI works on use cases across education, government and public sector, healthcare, security and smart cities, energy and utilities, telecommunications, financial services, retail, commercial facilities, and enterprise operations.

Organizations can use the consultation form at rennix.ai/contact, email info@rennix.ai, or contact Rennix AI by phone or WhatsApp at +962 78 788 8878. Sharing confidential or sensitive information in the first inquiry is not necessary.