Provide objective, photo-verified proof of cleaning quality across sites, teams, and contracts - with fast, repeatable scoring your supervisors and clients can trust.
Your team takes photos using normal mobile phones, as part of existing QA workflows.
Step 2
Let the AI do the hard part
Cleensight analyses the images and scores cleanliness consistently.
Step 3
Get clear, objective proof
Share results with clients or use them to train and improve your team.
What your teams and clients receive
A consistent QA report for supervisors and clients - overall score, area-level results, and photo evidence. Built for multi-site cleaning operations.
Audit-ready proof of service
Standardised QA reports you can share with clients and contract managers.
Consistent scoring across sites
Reduce subjectivity between supervisors, shifts, and locations.
Issue flags, not just scores
Highlights what needs rework so teams can fix it fast.
Built for operational reporting
Track performance by area, contract, site, and time period.
Cleensight QA Report
Site: ABC Hospital · Zone: Ward A · 14 Feb 2026 · 20:42
Completed
3
Overall score
Rework recommended
Rework items
2 flagged
Needs follow-up
Evidence
12 photos
Time-stamped
Area results
Patient bathroom
Needs rework · 2/5
Nurse station
Very good · 4/5
Corridor
Very Good · 4/5
Patient bathroom · Needs rework (2/5)
20:39
The area appears generally cleaned, but a missed detail was detected on a high-touch surface (e.g., visible residue around the tap / dust on a shelf edge).
Based on the evaluation criteria, this item was flagged for rework and the score was reduced accordingly.
⚠️ High-touch surface issue · rework flagged
Built for Every Cleaning Scenario
Commercial Cleaning
Prove work, reduce disputes, and keep clients longer.
Retail & Supermarkets
Consistent standards across every location.
Hotels & Hospitality
Instant checks for rooms, bathrooms, and shared spaces.
Cleensight ROI
Estimate the potential operational value of automated QA
QA setup
Cleensight helps reduce manual QA effort by turning inspection photos into structured, reviewable results.
Adjust assumptions
Number of cleaners1,200
AI-scored photos per cleaner per day8
Working days per year250
QA time saved per AI-scored photo (sec)20 sec
QA / management hourly rate ($)$20
Current rework rate (%)3%
Reduction in rework incidents (%)20%
Avg rework cost per incident ($)$40
QA labour saved / year
$3M
Estimated review time recovered
Rework savings / year
$216k
Estimated reduction in repeat work
Estimated annual value
$3.2M
Value-to-cost: 7.5×
Estimated value vs illustrative annual software cost
QA labour savings$3M
Rework savings$216k
Illustrative annual software cost$432k
This cost line is indicative only and intended to help compare estimated operational value against a realistic rollout threshold.
At 8 AI-scored photos per cleaner per day across 1,200 cleaners over 250 working days, Cleensight can generate an estimated annual value through reduced QA effort and lower rework.
This calculator estimates annual value using cleaner count, AI-scored photos per cleaner per day, working days, time saved in review or QA handling per image, baseline rework rate, the assumed reduction in rework incidents, and the average cost of each rework event.
Typical implementation approach
Most organisations start with a defined scope, validate the operational impact, and then expand based on measured results.
How organisations usually structure this
Focused deployments first
Many teams begin with selected sites, inspections, or QA workflows rather than a full operational rollout from day one.
Expansion based on proven value
Broader rollout decisions are typically based on measured impact, including time saved, stronger auditability, and reduced manual review effort.
Common questions
How is ROI typically created?
The strongest drivers are usually reduced manual QA effort, more consistent scoring, reduced repeat work, and better auditability across sites.
How is software cost estimated here?
The cost estimate is based directly on AI-scored image volume. Cleaner count, AI-scored photos per cleaner per day, and working days are used to estimate annual image volume, then mapped to an indicative enterprise rollout assumption.
Why use images as the pricing driver?
Cleensight’s pricing is ultimately tied to AI-scored image volume. This makes the calculator easier to understand and ensures software cost increases when image activity increases.
What if we do not have supervisors reviewing every photo?
That is common in larger operations. In those cases, Cleensight’s value often shifts from sampled manual review toward broader visibility across after photos, helping teams catch more issues and reduce repeat work.
Can this start with a limited rollout?
Yes. Many deployments begin with a small number of sites or a defined QA workflow before expanding more broadly.
How should these numbers be interpreted?
These figures are indicative only and based on the assumptions selected above. Actual results depend on workflow design, inspection frequency, labour rates, rework patterns, image volume, and rollout scope.
Cleaning You Can See. Quality You Can Prove.
Cleensight brings trust, clarity, and confidence to every job.
If your team works hard, they deserve an easy way to show it.
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Cleensight — AI Cleanliness Verification
