Dirt, marks and residue
Identify visible dust, smears, water marks, residue and other signs that cleaning is incomplete.
Tiliter Vision Agent
Evaluate visible cleanliness from images and return a consistent score, visible findings and structured assessment.
The Cleanliness Evaluator analyses each image and returns a score, visible findings and a consistent assessment within seconds.

The agent is checking visible surfaces, fixtures, floor and bin against the evaluation criteria.
Apply the same visual criteria to every submitted image, with clear findings behind each score.
Identify visible dust, smears, water marks, residue and other signs that cleaning is incomplete.
Review visible floors, counters, fixtures and high-touch surfaces against defined criteria.
Detect visible waste, overflowing bins, clutter and conditions that affect overall presentation.
The Cleanliness Evaluator performs the visual assessment. Cleensight adds assignments, mobile capture, workflow rules and audit-ready reporting around it.
Explore Cleensight →See how teams use the Cleanliness Evaluator across facilities, transport and distributed operations.
Automatically verify cleaning quality across multiple sites with image-based scoring, issue detection and clear accountability.
Read use case →Detect litter, spills and hygiene issues from images to improve standards across trains, stations and shared facilities.
Read use case →Explore real-world examples using the Cleanliness Evaluator to check visual conditions against your standards.
Maintain consistent cleaning quality and visibility with Tiliter’s Vision Agents. Automatically verify completed tasks, benchmark performance, and assure standards across every location.
Read use case →Verify room readiness, cleanliness and presentation using Tiliter Vision Agents. Reduce manual inspections across hospitality operations.
Read use case →Measure what food is actually being thrown away from photos taken on cameras and phones you already have – no smart bins, scales or specialised hardware.
Read use case →Identify contaminated waste streams from a photo taken at collection, so contamination charges, rejected loads and missed diversion targets can be traced to a cause and addressed.
Read use case →The visible condition of the space, rated against your standard rather than a generic idea of clean. It weighs what a supervisor notices first: marks and spillages, debris on floors, overflowing bins, and tidiness as something separate from hygiene. The rating comes back with the reasoning that produced it, so a low number can be examined instead of argued over.
That is the reason to use it. Two supervisors rarely score the same room the same way, and the same supervisor scores differently at 7am and at the end of a double shift. The same photo submitted twice returns the same rating, which is what makes a number worth comparing across sites and across weeks.
Yes, and you should. A four-star standard in a budget hotel and in a private hospital are different things. You define what acceptable looks like for your own sites, and the threshold decides what passes, what gets flagged and what is held.
Equipment surfaces and mats, floors, mirrors and glass, bins, and whether kit has been returned to its place. Gyms are one of the harder cases because the space is judged on both hygiene and tidiness, and a rack of dumbbells left out reads as unclean to a member even when every surface has been wiped.
Hotel rooms are among the longest-running deployments. Hospitality room verification covers how a room is checked for readiness and presentation, not cleanliness alone, before it goes to the next guest.
Yes. Prep surfaces, floors, equipment and waste areas are all visible checks. Related, and often run alongside it: food waste monitoring measures what is actually being thrown away from photos taken on cameras and phones the kitchen already has.
That is a related check rather than a cleanliness score. Recycling contamination detection identifies contaminated streams from a photo at collection, which is what you want when the problem is contamination charges and rejected loads rather than how clean a room looks.
This agent produces the score. Cleensight is the workflow around it: assigning the audit, capturing the evidence, holding the space until it passes, raising the rework and keeping the record. If you want a rating from an image, this is the piece. If you want the whole audit run and evidenced end to end, that is Cleensight.
Yes, once the scores come from the same standard rather than from different people. That holds whether you are comparing offices, gyms, hotels or a transport fleet. Cleaning quality assurance covers benchmarking completed work across locations, which is the thing a consistent score makes possible and a clipboard never did.
Build visual verification workflows and deploy them through mobile, web, cameras or your existing systems. Deployed in thousands of locations worldwide and ready to scale with your operations.