Internext designs and deploys private AI servers around your company, users and data boundaries—so your team can run supported local models, search company knowledge and automate approved work from one controlled platform.
Designed for your premises or an agreed private environment
Private AI infrastructure is a server and software environment configured for one organisation’s AI workloads. It can run compatible local models, connect approved company knowledge and give authorised staff a shared AI workspace. Internext scopes the hardware, models, access controls, integrations, rollout and support for UAE businesses.
We select capabilities after discovery. What is practical depends on the models, hardware, data permissions and quality standard your business needs.
Role-based assistants for research, drafting, internal questions and repeatable team tasks.
Search and answer from approved manuals, policies, product information and internal documents.
Summarise, classify and draft documents with human review built into the process.
Local coding assistance for suitable repositories, documentation and engineering workflows.
Generate or edit images locally when the selected hardware and model support the workload.
Connect approved AI steps to leads, support queues, forms, reports and internal operations.
Build controlled customer or staff experiences around a defined knowledge source and escalation path.
Prepare first drafts from approved context, with your team retaining review and sending control.
We document where the server runs, who can use it, what knowledge it can access, what leaves the environment and which updates or support paths are permitted.
ChatGPT and Claude are proprietary cloud services; they are not installed as local models. We can deploy suitable open-weight models for similar workflows and add optional cloud APIs only when you approve them.
Selected AI models, approved knowledge, user accounts, logs and local workflows can remain inside the agreed private environment.
Cloud APIs, external apps, remote support and internet-enabled updates are documented before they are enabled.
We define access, backups, update procedures and human approval points around the chosen use cases.
Search internal knowledge, prepare controlled drafts and standardise recurring document work.
Assist listing, lead, proposal and CRM workflows without giving every user a separate tool stack.
Connect product, menu, policy and operational knowledge to staff-facing assistants and automation.
Support internal search, reporting, classification and approved task routing across departments.
We start with one valuable workflow, prove it against your quality and privacy requirements, then expand deliberately.
Users, tasks, data sources, risk, languages and success criteria.
A focused use case, model shortlist and acceptance tests.
Hardware, access, storage, backups and network controls.
Knowledge preparation, workflows, staff training and handover.
Measured updates, new models and additional workflows as needs grow.
Reviewed 8 September 2026 for Internext’s UAE private AI service.
Connect approved AI workflows with your website, CRM, leads and business operations.
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