Seamless Enterprise
Enterprise AI over your own data, inside your own walls
Most enterprise AI platforms force a trade-off between capability and data control. Organizations that need strong AI - chat, search, analysis - are told to send sensitive data to the cloud to get it.
Seamless Enterprise is a private AI platform combining two capabilities: private AI running the best available open-source models on-premises or on dedicated in-Kingdom servers, and enterprise RAG that connects to your internal document stores, databases and business systems so answers come from your organization's own knowledge. Arabic retrieval is handled by the Kawn-Embed family and Arabic document parsing by Baseer, which is why it holds up on Arabic corpora where generic RAG stacks degrade.
Deploy on-premises, on dedicated in-Kingdom servers, or air-gapped. Connect your document stores, databases, file shares and business systems as retrieval sources. The platform answers from your organization's own knowledge, architected around SDAIA and NCA ECC from the start.
Two capabilities, not one
Private AI inside your boundary
The best available open-source models, running on-premises or on dedicated servers inside Saudi Arabia. Chat, web search and analysis without the data leaving your compliance boundary.
Enterprise RAG over your own data
The platform connects to internal document stores, databases and business systems, so it answers from the organization's own knowledge rather than from a general model. This is what turns a private chat tool into a system of record.
Arabic retrieval that holds up
Arabic retrieval is handled by the Kawn-Embed family and Arabic document parsing by Baseer, which is why it works on Arabic corpora where generic retrieval stacks degrade.
Chat and web search, kept inside
Your team uses AI models and pulls in real-time information without the data exposure that comes with public tools.
Who it is for
Engineering teams
building AI-powered products
Companies
using multiple AI models
Organizations
that need centralized control over AI spend
What it connects to
Document stores
Internal document repositories become retrieval sources, so an answer can be traced back to a file the organization already owns.
Databases
Structured business data is queried alongside the documents rather than in a separate tool with a separate answer.
File shares
The network shares that already hold the working corpus are indexed in place, without a migration project first.
Business systems
The line-of-business applications the organization already runs are wired in as retrieval sources.
The named list, on request
This page names the classes of system the platform reaches. Which specific products, versions and authentication modes are in scope is confirmed against your estate during scoping, and that list is shared under NDA. A connector matrix published in the abstract is a claim nobody can hold us to, so there is not one here.
Where it runs
On-premises
The platform runs on your own hardware, in your own data centre. Nothing leaves your environment unless you decide it should.
Dedicated in-Kingdom
Dedicated servers hosted inside Saudi Arabia, for organizations that want the operating model of a hosted platform without leaving the jurisdiction.
Air-gapped
A deployment with no route to the public internet at all, for the estates where that is the requirement rather than the preference.
Compliance
Architected around SDAIA and NCA ECC
The platform is designed around SDAIA and NCA ECC requirements, so compliance is a property of the architecture rather than something bolted on after a security review flags a gap.
Data ownership is the default
On-premises or dedicated in-Kingdom, the deployment is yours. There is no path by which data leaves it unless you open one.
The posture is documented once
Deployment options, data residency and the controls behind them live in the Trust Center rather than being restated on every product page.
Solutions
Customers
Let's talk about what you're trying to build.
Tell us the problem. We'll tell you honestly whether AI is the right answer.