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Rihaya Health Systems logo

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 blueprint

Product requirements and architecture complete. Seeking Saudi hospital design partners.

Stage 2 of 6: Product blueprint

A 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…

Rihaya NurseOS command centre showing patient and nurse counts, staffing coverage by unit, acuity mix, shift handover progress and open escalations
Product concept — NurseOS command centre
Diagram of fragmented nursing operations alongside the Rihaya NurseOS manager dashboard and MVP scope
Product concept — problem and MVP scope

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

Published statistic

516

hospitals in Saudi Arabia (2024)

GASTAT, Healthcare Establishments and Workforce Statistics 2024.

Published statistic

243,336

nurses in Saudi Arabia (2024)

GASTAT 2024.

Published statistic

106,140

Saudi nurses (2024)

GASTAT 2024.

Published statistic

16M+

virtual appointments and consultations in 2025

Saudi Ministry of Health, 2026.

Illustrative market model

Planning model

~SAR 216.7M

TAM (ARR)

516 Saudi hospitals × SAR 420,000 modelled hospital ACV. A pricing-based opportunity model, not measured category spend.

Planning model

~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.

Planning model

~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.

Management target

78 – 85%

Gross margin

Target at scale, with services and integration kept from dominating revenue.

Management target

SAR 180k – 280k

CAC per hospital

Includes enterprise selling, security review and pre-sales effort.

Management target

~SAR 1.34M

Gross-profit LTV

Modelled at a four-year life on the modelled hospital ACV.

Management target

~4.8× – 7.5×

LTV / CAC

Healthy only once the sales process becomes repeatable.

Management target

6 – 10 months

CAC payback

Assumes annual upfront billing and limited custom development.

Management target

< 8%

Annual logo churn

Target once workflows are embedded in daily nursing operations.

Management target

> 92%

Gross revenue retention

Excluding expansion.

Management target

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.

  1. 0–3 monthsCNO and manager discovery, clickable demo, security architecture
  2. 4–6 monthsMVP live in a first nursing unit; measure handover, workload and escalation
  3. 7–12 monthsSecond and third hospitals; standardised integrations, SSO, analytics
  4. 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.