Skip to content
Dom Tak Systems
Industrial AI · Industry 4.0

Smarter Industrial Operations Start Here.

AI-Ready Equipment Monitoring, Predictive Maintenance and Industrial Intelligence — Built for Modern Industry.

Explore the Platform Request a Demo
Built for Saudi industry Cloud-based B2B SaaS MVP in active development
Maintenance engineer reviewing equipment condition on a tablet beside an industrial motor and pump
PMP-401 · Illustrative
4.2 bar42 ANormal
app.domtaksystems.net/overview
Product preview · Demo data
Plant overview
Equipment
42
Healthy
34
Open alerts
5
Work orders
14
MTR-101 vibration · mm/s RMS
Work orders by status
The challenge

Most maintenance decisions are still made in the dark.

Across many factories, equipment knowledge lives in paper logs, spreadsheets and the memory of experienced technicians. Problems are found after they become failures.

Limited visibility

Little central insight into which assets are healthy, degrading or overdue.

Scattered records

Readings, inspections and work history spread across paper and files.

Reactive maintenance

Teams respond to breakdowns rather than early warning signs.

Hidden downtime cost

Unplanned stops impact output, quality and delivery commitments.
Introducing Dom Tak Systems

Turning Machine Data into Intelligent Maintenance Decisions.

Dom Tak Systems is building a cloud-based industrial intelligence platform that helps factories and industrial operators monitor equipment, digitize maintenance, track asset conditions, manage industrial battery health and improve operational efficiency.

We are an early-stage startup. Our MVP is under active development — we're transparent about what exists today and what is planned.

Assets
One registry for every motor, pump, compressor and battery.
Conditions
Manual and CSV readings with threshold alerts.
Workflows
Digital work orders, inspections and schedules.
Insights
Reliability KPIs, MTTR, MTBF and compliance.
Core capabilities

One platform for equipment, conditions and maintenance.

MVP

Asset management

Structured registry with criticality, status, health score and documentation.
MVP

Condition monitoring

Record vibration, temperature, current, pressure and battery readings — manually or via CSV.
MVP

Rule-based alerts

Define thresholds per asset or category. Violations raise alerts automatically.
MVP

Digital work orders

Kanban and table views, checklists, parts, costs and full audit history.
MVP

Reliability reporting

MTTR, MTBF, compliance and asset health distribution with CSV/PDF export.
Planned

Predictive maintenance

ML-based failure prediction trained on validated equipment data.
How it works

Connect → Analyze → Detect → Act

A simple loop that turns equipment data into maintenance decisions.

STEP 1

Connect

Register assets and bring in readings through manual entry or CSV. IoT connectivity is on the roadmap.

STEP 2

Analyze

Visualize trends against warning and critical thresholds for each parameter.

STEP 3

Detect

The rules engine flags violations as alerts with severity and context.

STEP 4

Act

Convert alerts to work orders, assign technicians and close the loop.

Solutions

Built for factories and industrial operators.

All solutions
Industrial Equipment Monitoring
MVP
Smart Maintenance Management
MVP
Predictive Maintenance
Planned
Battery Health Intelligence
Prototype
Industrial Cleaning Optimization
Planned
Installation & Commissioning Management
Planned
Modular ecosystem

Start with the core. Add intelligence as you grow.

Platform core
Assets · Readings · Alerts · Work Orders
InspectionsMVP
Maintenance schedulesMVP
Battery IntelligencePrototype
Smart OperationsPrototype
IoT Gateway (MQTT/Modbus/OPC UA)Planned
Predictive MLPlanned
Digital TwinPlanned
Enterprise APIsPlanned
Benefits

What the platform is designed to improve.

Visibility

See the condition, status and history of every registered asset across facilities in one place.

Workflow efficiency

Replace paper and spreadsheets with structured, auditable digital workflows.

Preventive readiness

Build the data foundation — consistent readings and history — needed for preventive and predictive maintenance.
Product development

Early access is open.

We're building in the open with industrial operators. Join early access to test the MVP with a private demo workspace and influence the roadmap.

Try the demo workspace
  1. Nov 2026
    MVP development ~50% complete (founder-reported)
  2. Dec 2026
    Target: core functionality ~75%
  3. Jan 2027
    Target: internal alpha testing
  4. Feb 2027
    Target: 100% functional MVP
  5. Mar–Apr 2027
    Target: pilot testing with early partners
  6. Jun 2027
    Target: initial commercial release

Milestones after November 2026 are planning targets, not guaranteed achievements.

Founder

Hany Afifi

Founder, Dom Tak Systems

An industrial operations professional and AI tools specialist with more than 10 years of experience in factory management and industrial operations across Saudi Arabia, the United Arab Emirates and Egypt.

About the company

Shape the platform with us.

We're inviting a small number of Saudi industrial operators to preview the MVP and help define what comes next.

Request a Demo Contact us