Industries

Three sectors. Deep focus.

We're not pretending to do everything. We go deep where Saudi companies have the most to gain — and where we can prove the work fastest. Each sector shares three structural features: lots of Arabic documents, multi-location complexity, and a substrate gap that AI applications keep tripping over.

Anchor segment · ~150 holdings in KSA

Family-conglomerate holding companies

Buyer: Faisal the Chairman · founder / principal-led · group revenue SAR 300M–2B

The opportunity: Data scattered across 3–10 subsidiaries with different ERPs, different teams, different document piles. We organize it once at the holding level — then every subsidiary inherits the same Foundation at marginal cost.

Before
3 years
to roll AI out to each subsidiary
After Foundation
8 weeks
subsidiary #2 onboarded at marginal cost

[ILLUSTRATIVE] reference engagement profile — not a specific customer outcome.

What AI handles, per subsidiary:

  • Cross-subsidiary financial consolidation in Arabic
  • Vendor and contract management at group level
  • Operations dashboards across business lines
  • Customs and trade documentation
  • Knowledge management for the next-generation operators
Foundation modules deployed
Knowledge layer (Arabic-native) Cross-subsidiary retrieval Group governance Role-based context On-prem GPU Audit log
Why we win here: One CEO conversation unlocks 3–10 subsidiaries — and the diversity of work inside a single group is exactly where we add the most value, fastest.
Priority sector 2 · 5–40 sites

Private healthcare networks

Buyer: Dr Hassan the Medical Director · Network Owner · group revenue SAR 50M–500M

The opportunity: Patient records, MOH filings, insurance claims — stuck in your existing systems and people. We organize them so AI handles the routine parts. Doctors spend more time on patients, not paperwork. Data never leaves your premises.

Before
3 days
insurance pre-auth turnaround
After Foundation
4 hours
physician documentation time −25%

[ILLUSTRATIVE] reference engagement profile — not a specific customer outcome.

What AI handles, per clinic site:

  • Insurance pre-authorization · Arabic claim narratives + supporting docs
  • MOH reporting and compliance pack generation
  • Multilingual patient communications (AR / EN)
  • Clinical triage and intake decision support
  • Radiology / pathology report routing
Foundation modules deployed
PDPL-by-default On-prem patient records MOH compliance pack Multi-site retrieval Bilingual UI PII redaction
Why we win here: SAR 30B private-healthcare investment wave + SAR 10B smart-hospital tech (Hospital Construction Report 2025). PDPL + MOH compliance makes on-premise non-negotiable — our hybrid GPU + sovereign cloud posture is built for it, not bolted on.
Priority sector 3 · partner-led firms

Mid-market law, accounting, advisory

Buyer: Maya the Managing Partner · 30–120 lawyers · 40–200 audit · 20–60 advisory

The opportunity: Your associates spend more than half their time on documents the firm has done before. We organize your firm's history — contracts, prior memos, partner annotations, matter records — so AI drafts the first version in the firm's voice. Partners review; they don't write.

Before
1.0×
associate baseline output on recurring docs
After Foundation
2.4×
partner review time −50%

[ILLUSTRATIVE] reference engagement profile — not a specific customer outcome.

What AI handles, per practice:

  • Contract drafting from the firm's prior contracts
  • Due-diligence pack generation
  • Regulatory research with verified KSA citations
  • Client deliverable drafting in firm templates + partner voice
  • Audit memo first drafts (accounting firms)
Foundation modules deployed
Firm-confidential knowledge search Partner-voice tuner KSA citation verifier Matter-level access control Conflict-check integration Document audit log
Why we win here: Client confidentiality stays inside your Foundation — no third-party app vendor sees matter records. Accounting / advisory firms have fewer dedicated AI app vendors than law (Laika, Malakah, Qistas already operate there) — lower competitive intensity, same substrate gap.

Sectors we take when they come (but don't chase)

Strong substrate fit but not our active outbound focus in Year 1–2. We take inbound; we won't outbound here until anchor + priority-sector pipeline is saturated.

Logistics & supply chain

Customs, dispatch, Arabic documentation. Substrate fit is strong.

Real-estate operators

Contract-heavy, document-heavy. Multi-site complexity.

Mid-market retail chains

Multi-location ops, Arabic customer interactions. Scale-dependent.

Hospitality multi-property

Multi-property ops, Arabic guest interactions. Larger groups only.

Sectors we explicitly refuse

Wrong fit for our model. We won't pretend otherwise. We refuse RFPs in these categories and will refer you to a firm that fits.

  • Tier-1 banks. SAMA procurement cycles are too long for our model. HUMAIN / Mozn / Big-4 own this space.
  • Oil & gas (Aramco, SABIC, Maaden). Aramco gravity dominates; in-house teams + IBM / Accenture / Deloitte own this.
  • Telecoms (stc, Mobily, Zain KSA). They have internal AI teams the size of our entire company.
  • Saudi VC-funded startups under 30 FTE. A full Foundation is the wrong investment for sub-30 teams — the economics don't fit yet.

Not sure where you fit? Get in touch — we'll tell you honestly.