Nashaah is an Arabic-first enterprise LLM built to become your organization's private AI, adapted to your knowledge, workflows, and requirements.
Nashaah is designed around Arabic from the beginning, from formal Arabic and regional dialects to code-switching and specialized enterprise terminology. Watch it think in Arabic.
العربية كما يتحدث بها الناس فعلا
ما أبرز المخاطر الواردة في هذه الاتفاقية؟
Arabic is not a supported language in Nashaah. It is the language Nashaah was designed around.
But understanding Arabic is only the beginning
Every deployment moves through the same four stages, from a general model to one that works the way your organization already does.
Nashaah enters your environment, on our cloud, your private cloud, or entirely on your own infrastructure.
Documents, databases, and applications are indexed inside the deployment boundary. Nothing leaves to train a shared model.
Nashaah is adapted to your terminology, workflows, and domain through private knowledge integration and, where appropriate, dedicated fine-tuning.
Evaluated, monitored, and updated over time as your organization's knowledge and workflows change.
Ask across thousands of policies, contracts, procedures, and internal documents, in Arabic or English, and get a grounded answer with its sources.
Stop depending on who remembers where a document is or who knows the answer. Institutional knowledge becomes available to everyone authorized to use it.
Review documents, compare policies, draft reports, summarize cases, and prepare analysis without starting from zero every time.
Your employees can use advanced AI on confidential organizational information without sending that information to a public AI service.
See it work inside your organization
One Nashaah core powers specialized AI systems for legal, finance, government, operations, and HR, with general-purpose chat available for everyday use.
See what Nashaah could become inside your organization.
Request a Private DemoNashaah combines its private language model with the enterprise knowledge, agents, guardrails, verification, and administration layers required to operate AI inside a real organization.
The private language model and inference engine, deployed inside your boundary.
Secure retrieval over your institution's own documents, indexed and searched without leaving the deployment.
Controlled workflow and tool execution, scoped to the actions your policy explicitly permits.
Guardrails and policy enforcement: content screening and access control applied before a response ever reaches a user.
Source grounding and citation, so every answer can be traced back to the document it came from.
Administration, audit logs, and deployment management for your own security team.
Everything in the platform connects back to a single deployed core, inside your boundary. Government, finance, legal, health, and industrial teams all work through applications built on these five components. Nothing here reaches outside the boundary.
Every response passes through a grounding and verification layer before it reaches a user. Nothing is generated and shipped unchecked.
From managed private cloud to fully air-gapped infrastructure, Nashaah adapts to your security requirements without sending sensitive inference to external models.
Fully isolated from external networks. Installed inside your own facility, on your own hardware, under your own physical security.
Dedicated deployment in your private cloud, a selected data center, or a Nashaah-managed private environment.
Sensitive workloads processed on premise. Non sensitive, high volume workloads may burst to a private cloud tenancy on approval.
From a fully independent perpetual deployment to a managed subscription, Nashaah's commercial structure matches how your organization prefers to buy technology.
Sovereign assistants, citizen services, and policy intelligence, drafting and answering in Arabic, English, Malay, and Tamil, without sending draft policy to a third party server.
Internal knowledge search, regulatory compliance drafting, and customer intelligence, operating entirely inside a controlled, auditable environment.
Arabic legal research, case file summarization, precedent retrieval, and drafting support for legal teams and firms.
Private clinical and administrative knowledge support, kept inside the hospital's own deployment boundary.
HR, internal policy, procurement, and institutional knowledge, adapted to how your organization actually works.
Technical documentation, operating procedures, and incident report drafting for infrastructure and industrial operators.
Most enterprise AI today is rented from a foreign cloud, inferenced on foreign servers, and governed by foreign terms of service. For a ministry, a bank, a hospital, or an industrial operator, that arrangement is not a technicality. It is an exposure.
Nashaah exists to remove that exposure. The model, the inference, and the data stay inside the boundary your organization defines, whether that boundary is a physical data center, an air gapped facility, or a licensed private cloud region.
An organization should be able to ask its most sensitive questions without asking a foreign vendor's permission first.
Your existing systems and Nashaah's production environment are separated by a one way transfer, not a network connection, the same data diode pattern used to protect classified and industrial control networks.
Compliance describes what Nashaah is designed to satisfy. This is what actually enforces it.
The air gapped tier has no inbound or outbound path beyond your network segment. Cloud and hybrid tiers run on dedicated, firewalled tenancy with no shared infrastructure.
Role-based access control (RBAC) tied to your existing identity provider, least privilege by default, every session attributed to a named user.
Data encrypted at rest and in transit by default. Key custody stays with your institution unless you explicitly delegate it.
Regular security review of the deployed stack, with a documented process for reporting and remediating findings, continuous rather than point in time.
Nashaah is designed around the questions a government security review actually asks.
Data and model weights remain within the deployment boundary you define, with no default external transmission.
Role-based access control (RBAC), full audit logging, and per query attribution for every user in the deployment.
Every interaction is logged and exportable for internal review, without relying on a third party's retention policy.
Architecture designed to support national data protection and public sector security requirements.
Built by a dedicated team with experience across AI research and infrastructure. Nashaah is developing its Arabic-first foundation models and enterprise AI stack from the ground up.
Briefings are conducted under a mutual non disclosure agreement. We will not ask for sensitive technical detail before one is in place, and we do not expect you to share any.
Response within two business days.