01
Audit Gap
Manual sign-off sheets and physical checklists rely on human discretion, so they do not provide objective data and carry a risk of manipulation.
HygioAI-Powered Facility Hygiene Management
Make facility hygienemeasurable.
Hygio analyzes field photos with deep learning in real time, making cleaning audits measurable and evidence-based.
- Photo-backed audits
- +4,950 staff*
- 1,200 stations*
- 2.2M+ cleaned points*
Product
B2B SaaS — Facility/Cleaning Hygiene Audit and Management Platform
Not sign-off sheets, but proof. Not claims, but data. Hygio makes hygiene auditable, measurable, and reportable.
Why Hygio?
Visual proof instead of claims
Approval rests on before/after photo AI labels—not "I cleaned it" statements.
Same standard at every point
NFC/QR-defined points are scored with the same rules; branch variance becomes visible.
Live operations panel
Scores, performance, and alerts in one panel—prioritize without walking the floor.
Who is it for?
- 01Multi-site / large-footprint facility operators (malls, plazas, business centers, hospitals, hotels, airports, factories, restaurant chains)
- 02Facility management companies
- 03Cleaning service providers
- 04Corporate operations and quality managers
Problem
Weaknesses in Conventional Audit Processes
Manual checklists alone often fail to keep hygiene standards consistent across large or multi-site facilities.
02
Standard Deviations
In multi-site or large-footprint facilities, hygiene standards cannot be maintained consistently at every point due to a lack of real-time data.
03
Brand Risk
Hygiene failures in facilities lead directly to customer dissatisfaction and damage to corporate reputation.
Result: a "done" record without quality proof—audit day and guest complaints get expensive.
Solution
Technology Stack and Solution Architecture
Hygio analyzes submitted cleaning photos with visually trained deep learning models so managers review consistent visual evidence—not only staff claims.
- 01
Advanced Dataset
The Hygio algorithm uses models trained on thousands of labeled visual examples.
- 02
Visible-issue detection
The system is designed to flag visible issues such as stains, standing liquid, missing consumables, and general disorder. Results can vary by environment.
- 03
Objective Reporting
Hygiene workflow decisions are supported by AI visual analysis results—not by staff claims alone.
Platform
Platform Capabilities
The platform combines checkpoint mapping, field tasks, photo documentation, AI scoring, and a management dashboard in one operational flow.
01
Digital map and NFC/QR integration
All hygiene points within the facility (restrooms, sinks, common areas) are registered in the system to create a digital map. NFC tags or QR codes are physically integrated at each checkpoint.
02
Smart Task List
When staff open the Hygio app, they are greeted with a Smart Task List automatically generated based on their shift schedule.
03
Before-and-after photo documentation
Before-and-after photos are taken for all registered stalls, urinals, and sinks; every cleaning is documented with proof.
04
AI image analysis
Images uploaded to the system are analyzed within milliseconds by the Hygio Image Processing Engine. The model labels each image as "Approved (Clean)" or "Rejected (Dirty)" for operational workflow—this is an internal quality signal, not a third-party audit certificate.
05
Central Management Dashboard
Analysis results are transferred in real time to the central management dashboard. Managers view hygiene scores, staff performance, and deficiencies with live data.
06
Instant alerts and customer notifications
When negative survey feedback is received from customers, the system creates a new cleaning task. Managers are alerted about stations that receive too many dirty results.
Process
Implementation Process with Hygio
Step 01→ 02
Digital Integration and Setup
All hygiene points within the facility (restrooms, sinks, common areas) are registered in the system to create a digital map. NFC tags or QR codes are physically integrated at each checkpoint for staff to scan.
Step 02→ 03
Field Operations and Data Capture
After completing their routine work, cleaning staff scan the tag at the relevant point via the mobile app to verify location (check-in). They then take a current photo of the area and upload it to the system.
Step 03→ 04
AI Analysis
Images uploaded to the system are analyzed within milliseconds by the Hygio Image Processing Engine. AI checks for stains, wetness, and order, labeling each image as "Approved (Clean)" or "Rejected (Dirty)" for operational workflow.
CleanStep 04
Reporting and Management Action
Analysis results are transferred in real time to the central management dashboard. Managers view hygiene scores, staff performance, and deficiencies with live data and intervene in operations when needed.
App
The Cleaning Process with Hygio
This section walks through how staff use the app in the field, illustrated with mobile screen captures.
01
Task List
When staff open the Hygio app, they are greeted with a Smart Task List automatically generated based on their shift schedule.
02
Starting a Task and Location Check
They select the restroom to clean and start the task.
03
Before Photos
They take before-cleaning photos of all registered stalls, urinals, and sinks.
04Clean
After Photos
After cleaning, they take after photos of the same areas and AI scores the cleaning.
05Clean
Completed Task and AI Score
The task is completed and AI reports the cleaning score (e.g. 90% Clean). Managers are alerted about stations that receive too many dirty results.
06Dirty
Dirty Restroom Notification
When negative survey feedback is received from customers, the system creates a new cleaning task.
Features
Not signatures, but proof. Not claims, but scores.
Every cleaning is documented with before-and-after photos. AI produces an objective cleaning score; managers monitor the entire facility's hygiene performance in real time from a single dashboard.
90% CleanAI cleaning score
- 01Analysis in milliseconds
- 02Evidence-based, consistent score
- 03Instant manager alerts
- 04Staff performance tracking
- 05Central management dashboard reporting
Approved (Clean) / Rejected (Dirty)
AI checks for stains, wetness, and order, labeling each image as "Approved (Clean)" or "Rejected (Dirty)" for operational workflow—not as a formal audit certificate.
Visible-issue detection
The system is designed to flag visible issues such as stains, standing liquid, missing consumables, and general disorder. Results can vary by environment.
Advanced dataset
The Hygio algorithm uses models trained on thousands of labeled visual examples.
Stats
Hygio to Date
Operational scale from platform activity—verify before presenting as independent audit or customer reference.
01
+0
Staff
0
Stations
Operations
+0Restroom Cleanings
+0
Clean Restroom AI Score
+0
Dirty Restroom AI Score
Total impact
Stalls, Sinks, and Urinals Cleaned
0
* Operational figures reflect platform activity and should be verified before being presented as independently audited customer references.
Target sectors
Wherever hygiene standards matter
From multi-site / large-footprint facility operators to facility management companies, cleaning service providers, and corporate operations and quality managers — Hygio is built for every environment where hygiene standards are critical.
- Malls and business centers
- Plazas and offices
- Hospitals and healthcare facilities
- Hotels and hospitality
- Airports and terminals
- Restaurants and chain operators
- Factories and manufacturing facilities
- Educational institutions
Use cases
Hygio by role
One platform for operations, service providers, and quality teams—with different decision needs.
- 01
Facility / FM operations lead
Problem: Checklists arrive but quality is invisible; audit week becomes a scramble.
How they use it: Compare branch and point scores in the dashboard; assign extra shifts or inspections to low-scoring stations.
- 02
Cleaning service provider
Problem: SLA closes on "cleaned"; proof is weak when the client disputes.
How they use it: Every job closes with photo + AI score; share proof packs and staff performance views with the client.
- 03
Quality / compliance lead
Problem: Brand standards exist on paper; field consistency is unclear.
How they use it: Track clean/dirty mix and trends; route dirty alerts from guest surveys into the task queue.
References
Measurable outcomes
Approved customer stories and pilot score trends are shared in the demo. We do not publish invented references—scope, point count, and result metrics are reviewed together.
Integrations
Works with your operations stack
Field points connect via NFC/QR. Enterprise integrations are scoped to your needs—category skeleton without inventing vendor names:
Field identity / location
NFC tags, QR codes (in-product)
Workforce / shifts
Shift plans and workforce tools (scoped in demo)
Notifications
Email, SMS, mobile push
Reporting / BI
CSV or API export (enterprise scope)
Facility / CMMS
Work-order or asset systems (as needed)
Clarify integration scope in the demo.
Security
Security and data approach
The transparency B2B buyers expect—without overclaiming.
Role-based access
Manager and field roles are separated; score and performance visibility follows permissions.
Photos as evidence
Cleaning records are kept with visual evidence rather than sign-off alone; retention follows contract and policy.
Privacy regulations
Notices are published on our legal pages. Analytics and marketing cookies load only after consent; details are in the cookie policy.
Pricing
Plans shaped to your facility
No self-serve fixed price list. Sales-led demos; quotes follow point count, site scale, and rollout scope.
Starter
Single site / pilot
- · Point limits and mobile field app
- · Core admin panel
- · NFC/QR setup support
Quote after demo
Growth
Multi-site / FM
- · Multi-site management
- · Alerts and performance reports
- · Central score view
Quote after demo
Enterprise
Chains / custom SLA
- · Custom onboarding
- · API / integration scope
- · Contracted support
Contact us
Request a free demo
Prices are not listed publicly; there is no self-serve checkout.
FAQ
Frequently asked questions
What buying and compliance teams ask most often.
Is Hygio a medical device or FDA-cleared product?
No. Hygio is software for monitoring facility cleaning operations using staff-submitted photos. It does not certify sterile conditions, infection control, or compliance with healthcare hygiene regulations.
What do Clean / Dirty scores mean?
In-app Approved/Rejected (Clean/Dirty) labels are internal quality signals for operational workflow—not third-party audit certificates or legal compliance documents.
Where is data stored and who can access it?
Access is role-based. Details are described in our Privacy Policy and Data Protection pages; enterprise customers clarify processing terms in contract.
How does pricing work?
We sell through demos. Packages depend on facility scale, checkpoint count, and rollout scope—a custom quote follows a free demo.
What about accuracy claims?
Model performance varies with lighting, angle, and area type. We do not promise a fixed accuracy percentage in marketing copy; evaluation happens in controlled tests and field pilots.
How long does implementation take?
NFC/QR checkpoint setup and staff onboarding depend on facility size. Scope and timeline are planned together in the demo conversation.
Why Hygio if we already have checklists or FM software?
Checklists record that a task was done. Hygio turns each point into quality proof with photos and an AI score. Combined use is clarified in the demo.
Can staff manipulate photos?
NFC/QR check-in, required before/after shots, and AI classification mean a claim alone is not enough. Process details are shown in the demo.
Contact
Make your facility's hygiene measurable.
See how Hygio works at your facility in a live demo. Our expert team will plan the implementation process around your needs.
Next step
- 15–30 minute live demo—see scoring and the panel flow.
- Plan points and rollout scope for your facility together.
- Start with a pilot site; no credit card required.
- Quote prepared after the demo for your scale.
app@icitech.com.trIstanbul, Turkey