Manbaa (منبع — "the source") is the foundation a Saudi company's intelligence flows from. We organize your data and workflows so AI can use them, then run AI on top — handling the work your team hands off. Data stays in Saudi.
The word Manbaa (منبع) means the spring — the source a river rises from. That is the role we play. A company's decisions, automations and day-to-day work all flow from the foundation underneath them. Most AI projects fail not because the model is weak, but because that foundation is missing. We build it.
Not translators, not resellers, not another app vendor — the engineers who build the substrate. A foundation built for one company (organized data, retrieval, governance, observability), deployed in your environment, with managed AI running on top.
You're not buying a feature. You're putting in place the origin point a company's capability begins from — everything downstream flows from what we build.
A spring is modest at the source but feeds a whole basin. A few agents, placed at the right point, cascade value across an entire organization.
A spring never stops running. Your AI works overnight, between meetings, across time zones — it doesn't clock out the way one-off tools and human-only teams do.
The spring rises from local ground, but the river it feeds reaches the sea. Rooted in Saudi Arabia — Arabic-native, PDPL-credible — built to flow globally.
We meet you where you are and move up one ladder — from a diagnostic, to the foundation, to AI that runs your day-to-day. Every step ships a working deliverable, never a strategy deck.
We map where your data lives, which workflows are AI-ready, and what the foundation should be. You leave with a clear plan and roadmap, whether or not you continue.
The substrate: organized data, an Arabic-native knowledge & retrieval layer, governance and observability — deployed in your environment, on infrastructure you control.
Managed AI on top of the Foundation. It scales from a couple of processes to enterprise scope — we run them, measure them, and report the savings.
Starter · a couple of processes Standard · several processes Advanced · many processes Enterprise · custom
Behind every engagement is a growing library of reusable methods and hard-won experience. You never see it — you feel it, as faster, cheaper, more reliable delivery on every project we run.
We don't pretend to fit everyone. We refer out:
Tier-1 banks Oil & gas Telecoms Sub-30-person startups
Anyone can plug into a public model. Almost nobody builds the foundation that makes AI work inside a Saudi organization. The big firms write strategy and leave; boutiques sell chatbots without the plumbing under them. The mid-market foundation layer is structurally empty.
On-premise GPU you control or sovereign Saudi cloud. PDPL posture built in from day one. Arabic treated as the primary language — dialect-aware, Hijri calendar, government form schemas. KSA-hours support with prayer-time-aware SLAs.
Source: Cloudera Data Readiness Index 2026, Saudi sample.
Sensitive workloads run on on-premise GPU under your roof, or in sovereign Saudi cloud — never on a foreign model by default. PDPL is a design constraint of the Foundation, not a bolt-on. Every action is captured in a tamper-evident audit log.
PDPL by default Data resident in KSA On-prem / sovereign cloud Tamper-evident audit log SDAIA-aligned ISO 27001 posture
| Legal status | Saudi-domiciled establishment |
| Registration No. | 7039594176 |
| Headquarters | Riyadh, Kingdom of Saudi Arabia |
| Hours | Sunday–Thursday, 09:00–18:00 AST · prayer-time-aware |
| Market entry | MISA investment licensing in progress |
| Languages | Arabic (primary) & English |