Enable Data-driven Cleaning Operations at your facilities
Enable Data-driven Cleaning Operations at your facilities
IoT & AI based solution with real-time monitoring and alerting for optimised cleaning operations.

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SmartClean Accor Demo

ABOUT US

SmartClean is a Singapore based IoT & AI company, bringing intelligence to Facilities with connected sensors and intelligent algorithms, enabling data-driven Cleaning operations for increased productivity and improved service quality.

Our Toilet Cleanliness Monitoring System provides a game-changing approach to toilet cleaning, with real-time monitoring of toilet facilities via an array of sensors installed around the toilet. Providing useful customer feedback modules and monitoring everything from Air quality, Wetness levels, Dispenser monitoring to how many times the toilet has been used, the system uses intelligent algorithms to evaluate and rate toilet cleanliness, in order to alert cleaners of issues, so they can be resolved quickly and efficiently without delay. Using machine learning and AI technology, the collected data allows the AI to learn the usage patterns of the facility and based on this, propose manpower requirements, strategic downtimes and required inventories, to optimize its management and make dramatic time and cost savings, while improving the overall customer experience.

Our vision is to automate cleaning processes such that the system tries to cleanse by itself before needing the intervention of a human cleaner. We are also working on other exciting technologies including Self Cleaning Toilets and Toilet Cleaning Robots, stay tuned!!

The WHY

What are we solving ?

Standardize Cleanliness

"Clean" is a very subjective quantity. So it's hard to achieve expected cleaning standards with changing cleaning companies and cleaners.

Monitoring & Quality Control

It is not feasible to physically monitor the cleanliness of the facility periodically by FM supervisors. Lack of means to understand user perception of quality.

Paper Based Task Recording

Paper based task recording leads to localized information, not easily accessible to cleaning supervisors and facility managers.

Manpower Wastage

Toilet usage pattern varies with time-of-use and type-of-day. Hence, scheduled monitoring wastes manpower.

OUR SOLUTION

What are we making

Virtual Cleaning Supervisor

AI algorithms learning cross facility insights to schedule cleaning operations and suggest actionable tasks.

SENSORS

Air quality monitoring, wetness detection, usage pattern and feedback modules with emergency respose buttons.

CLEANING COMPANY DASHBOARD

Cleaner management system, real-time monitoring, automated task logging, analytics and insights.

CLEANER APP

Automated attendance, task logging and receive alerts and emergency cleaning requests.

FACILITY MANAGER DASHBOARD

One click monitoring and analytics based on sensor data and feedback and report generation.

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OUR UNIQUE VALUE PROPOSITION

TESTIMONIALS

OUR INVESTORS AND PARTNERS

MEET OUR TEAM

Our team collectively brings over 50 years of experience in business and technology. We specialize in end-to-end development of IoT solutions.

Lav

Lav

CEO & Co-Founder

10 years of cross disciplinary experience in Research, Software Engineering, Sales & Marketing, Business development at ABB, TCS and NTU. (PhD- EEE NTU, ongoing)

Stella

Stella

COO & Co-Founder

10 years of experience in Business development, Sales & Marketing and account management, Co-founded Spotless Pte. Ltd (commercial cleaning company) in 2012. BSC(Finance) – SIM University.

Kush

Kush

Co-founder

10 years of experience in the R&D & management of wireless technologies at NTU, NUS, A*STAR, and CGI. He holds a Ph.D. from the National University of Singapore (NUS) and M.S. from the Nanyang Technological University (NTU), all in Electrical and Electronic Engineering.

Arish Shareef

Arish

Chief Product Engineer (Sensors)

Arish is an experienced engineer with expertise in circuit design, simulation, testing and firmware. He holds a doctorate in Electrical and Electronics Engineering from Nanyang Technological University (NTU).

Mohsin

Mohsin

Senior Software Engineer

Experienced software engineer with expertise in server side technologies. (Master of Computing, NUS)

Neel

Neel

Software Engineer

Software engineer trained in full stack, agile, embedded systems and a knack for IoT. (MTech - NUS ISS)

Sarah

Sarah

IoT Engineer

Electrical engineer experienced in sensor technology, sensor integration, data analysis and specialised in automaton and control engineering. (MSc - ECE NUS)

TRACTION

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CONTACT

Lets get in touch. Send us a message:

S1-B1b-71A, School of EEE, NTU, Singapore 639798

Phone: +65 83759830

Email: enquiry@smartclean.sg