Enterprise AI search is a layer of AI that connects to an organization's internal knowledge - documents, emails, wikis, databases, and systems - and allows employees to search and retrieve information using natural language. Unlike traditional keyword search, enterprise AI search understands intent, applies semantic understanding, respects user access permissions, and returns results with inline citations so every answer is verifiable.

Gaia is fundamentally different from a generic chatbot or a public AI assistant. Gaia's answers are grounded entirely in your organization's own data - not in internet information. Every answer includes a citation to the exact source document it came from. Gaia refuses to answer when it cannot find supporting evidence, rather than guessing or hallucinating. It also inherits your organization's access controls, so employees only see information they are authorized to access.

Yes. Arabic is a first-class language in Gaia, not a translation afterthought. The platform interface is fully bilingual with correct right-to-left rendering for Arabic. AI search understands queries in Arabic, English, or a mix of both. Answers can be delivered in the same language the question was asked in. Arabic metadata, headings, and content are handled natively throughout the platform.

Yes. Permission-aware retrieval is a core architectural feature, not a filter applied afterward. When Gaia connects to a system like SharePoint or Google Drive, it inherits the access controls from that system. A user searching through Gaia will only see documents and data they are already authorized to access in the original source system. This is enforced at the retrieval layer, meaning restricted data is never retrieved and passed through the AI. It is excluded at the source.

Gaia connects to the systems organizations already use, including Microsoft 365, SharePoint, OneDrive, Google Drive, Google Docs, Gmail, Outlook, Microsoft Teams, Slack, Jira, Confluence, Notion, Box, HubSpot, Salesforce, SAP, Oracle, Zoho, Zendesk, ServiceNow, and more. Gaia also connects to PDFs, Word documents, spreadsheets, presentations, and custom internal tools and APIs. All connected content is indexed with the source system's access controls applied automatically.

Yes. Gaia is designed specifically for Saudi enterprises. It supports fully on-premise deployment (air-gapped, no internet required), private cloud deployment within an organization's own cloud infrastructure, and managed cloud with Saudi data residency options. The platform is PDPL-ready (Saudi Personal Data Protection Law) and built for regulated sectors including government, healthcare, finance, energy, and telecoms.

Yes. Gaia is built with regulated environments in mind. Key governance features include: permission-aware retrieval that enforces access controls at the data layer; a full audit log of every AI query and agent action; inline source citations on every AI response; human approval gates for sensitive agent actions; data isolation between organizational tenants; and flexible deployment options including fully air-gapped on-premise deployment. These features make Gaia suitable for government agencies, healthcare providers, financial institutions, and other regulated sectors.

Gaia uses a technique called Retrieval-Augmented Generation (RAG). When a user asks a question, Gaia first searches across connected knowledge sources to find the most relevant documents and passages. It then uses these retrieved passages as the context for generating an answer. The AI can only draw on what was actually retrieved from your systems. Each answer includes citations to the exact source documents and sections used. If Gaia cannot find relevant supporting evidence, it says so explicitly rather than generating an unsupported answer.

Gaia is currently in private early access. The waitlist allows enterprises to register their interest and be considered for onboarding as part of the first wave of deployments. Priority is given to Saudi enterprises and organizations in regulated sectors. To join the waitlist, visit gaia.sa/waitlist and provide your organization details. The Gaia team will follow up to schedule a discovery call and assess fit.