
رياحة للأنظمة الصحية
Every shift. Every patient. Every risk. One nursing command layer.
Hospitals already own systems for records and rostering. Nursing execution still runs on whiteboards, calls and printouts. Rihaya is built for the work between systems — coordinating the operation, not practising medicine.
- Sector
- Healthcare
- Category
- Nursing Operations Intelligence Platform
- Primary buyer
- Chief Nursing Officer or Nursing Director
- Entry wedge
- One nursing unit. Digitise handover, workload and escalation, prove the operational outcome, then expand across the hospital.
Product requirements and architecture complete. Seeking Saudi hospital design partners.
Stage 2 of 6: Product blueprintA ward you can read at a glance.
Open a room, see the workload behind it, and approve a rebalancing suggestion the way a charge nurse would.
Loading product concept…


Your HIS records care. Nothing coordinates the nursing operation around it.
Shift execution spans people, paper and half a dozen screens. The result is missed work, uneven workload and reporting that arrives too late to act on.
- Fragmented handovers
- Critical patient information is lost between shifts, increasing risk and rework.
- Staffing pressure
- Manual planning and visibility gaps lead to over- or under-staffing and burnout.
- Delayed escalations
- Issues surface late with no real-time visibility or ownership tracking.
- Weak manager visibility
- Limited real-time data makes it hard to prioritise, support and improve outcomes.
The wedge
One nursing unit. Digitise handover, workload and escalation, prove the operational outcome, then expand across the hospital.
What it is, and what is actually in the first release.
- Shift Command Board
- Census, roster, assignments, acuity, overdue tasks and escalation state.
- Digital Handover
- Structured handover with acknowledgement before completion.
- Assignment & Acuity
- Patient-to-nurse assignment with configurable, explainable workload scoring.
- Nursing Task Safety
- Due times, ownership, completion and exception reasons.
- Escalation Hub
- Exceptions with ownership, SLA timer and an auditable trail.
- Nurse Mobile Workspace
- My patients, my tasks, handover and escalation on the ward.
- Manager Analytics
- Handover duration, completion, workload variance and escalation metrics.
- Admin Console
- Roles, units, task templates, escalation policies and retention.
In the MVP
Shift Command Board
One operational view for the charge nurse.
Digital Handover
Structured, acknowledged shift-to-shift transfer.
Assignment & Acuity
Transparent, explainable workload balancing.
Escalation Hub
Ownership, timers and resolution state.
Nurse Mobile Workspace
Frontline execution on the ward.
Manager Analytics
Operational metrics computed from events.
Planned, not built
Staffing forecastNext
Decision support for managers — never automatic scheduling.
Multi-hospital commandRoadmap
Cluster-level nursing governance and benchmarking.
Scope boundary — Operational AI only. NurseOS does not diagnose, prescribe or independently alter treatment. Every AI-generated summary is labelled, traceable to its source data and reviewed by a nurse before it becomes part of a record.
Who it is for.
- Primary buyer
- Chief Nursing Officer or Nursing Director
- Primary users
- Bedside nurses, charge nurses, nurse managers and quality teams
- Economic buyer
- Hospital CEO, COO or CIO depending on deployment
Built for Saudi hospital operations
A large nursing workforce, a finite and geographically concentrated hospital universe, an active national digital-health agenda and a clear direction toward standards-based interoperability. Nursing operations is where the workload density is, and where a measurable outcome can be produced inside one unit.
The opportunity, with the arithmetic visible.
Published statistics and our own models are labelled differently, on purpose.
Saudi market signal
516
hospitals in Saudi Arabia (2024)
GASTAT, Healthcare Establishments and Workforce Statistics 2024.
243,336
nurses in Saudi Arabia (2024)
GASTAT 2024.
106,140
Saudi nurses (2024)
GASTAT 2024.
16M+
virtual appointments and consultations in 2025
Saudi Ministry of Health, 2026.
Illustrative market model
~SAR 216.7M
TAM (ARR)
516 Saudi hospitals × SAR 420,000 modelled hospital ACV. A pricing-based opportunity model, not measured category spend.
~SAR 63M
SAM (ARR)
150 hospital-equivalents in Riyadh, Makkah and the Eastern Region × SAR 420,000. The 50% fit factor is an internal assumption.
~SAR 11.3M
SOM (ARR)
25 hospital-equivalents by year five × SAR 450,000 blended ACV.
Hospital and nurse counts are published GASTAT statistics. The ACV and fit assumptions behind TAM, SAM and SOM are ours, and remain to be validated through customer discovery.
How it earns.
- Pilot
- One unit, six to eight weeks, baseline and outcome report.
- SAR 90k – 150k
- NurseOS Unit
- Up to three units, core workflows, standard support.
- SAR 180k / year
- NurseOS Hospital
- Up to twelve units, analytics, SSO, standard integrations.
- SAR 420k / year
- NurseOS Enterprise
- Hospital-wide, advanced analytics, premium integration and SLA.
- SAR 720k+ / year
- Cluster / Group
- Multi-hospital governance and benchmarking.
- SAR 1.5M+ / year
Concept-stage commercial model. These are the price points the business is being designed around, not proven pricing and not an offer.
Targets the business is being built toward.
78 – 85%
Gross margin
Target at scale, with services and integration kept from dominating revenue.
SAR 180k – 280k
CAC per hospital
Includes enterprise selling, security review and pre-sales effort.
~SAR 1.34M
Gross-profit LTV
Modelled at a four-year life on the modelled hospital ACV.
~4.8× – 7.5×
LTV / CAC
Healthy only once the sales process becomes repeatable.
6 – 10 months
CAC payback
Assumes annual upfront billing and limited custom development.
< 8%
Annual logo churn
Target once workflows are embedded in daily nursing operations.
> 92%
Gross revenue retention
Excluding expansion.
110 – 120%
Net revenue retention
Driven by more units, modules and hospitals.
Every figure above is a forward-looking management target. Rihaya has no customers and no operating history, so none of these has been observed in practice.
The nursing operational event graph
Long-term defensibility is not a mobile checklist. It is the management system created when every unit produces consistent, comparable operational events — and the versioned metric definitions that make those events trustworthy across a hospital group.
- Daily workflow embedding: handover and escalation happen in NurseOS
- Hospital-encoded escalation and task policy
- Integration investment across HIS, roster and devices
- Semantic metric definitions that make units comparable
- Designed to compound: history makes each metric more useful
Trust architecture
- Saudi-region hosting options, documented before contracting
- Least privilege with unit and role scoping, and MFA support
- Immutable audit events for access, changes and AI output review
- Operational AI only — labelled, source-linked and human-reviewed
- Architecture designed so hospitals can map controls to their own PDPL, NCA and CBAHI obligations
These describe how the product is designed. They are not certifications held.
Wedge first. Platform second.
- 0–3 monthsCNO and manager discovery, clickable demo, security architecture
- 4–6 monthsMVP live in a first nursing unit; measure handover, workload and escalation
- 7–12 monthsSecond and third hospitals; standardised integrations, SSO, analytics
- 13–24 monthsPredictive staffing, shift-risk brief, multi-hospital command
Independent company. Shared advantage.
Rihaya Health Systems inherits the Yalla Digital foundation — product, engineering, AI and data, integrations, cloud, security and Saudi commercial strategy — rather than rebuilding it.
Sources & assumptions
- GASTAT, Healthcare Establishments and Workforce Statistics 2024
- 516 hospitals and 243,336 nurses, of whom 106,140 are Saudi nationals.
- Saudi Ministry of Health, 2026
- More than 16 million virtual appointments and consultations delivered in 2025.
- Regulatory context
- PDPL, NCA Essential Cybersecurity Controls, CBAHI hospital standards and FHIR/HL7 interoperability inform the architecture. No certification or accreditation status is claimed.
- Commercial model
- Yalla Digital internal planning model, 2026. Concept-stage pricing and forward-looking targets.
Forward-looking figures are management targets and planning models for a pre-revenue company. They are not historical results, and no customer, revenue, pilot, partnership or certification is claimed anywhere on this site.