Tumble

About Tumble

The startup develops laundry technology that integrates IoT systems and machine learning to install connected washing machines in apartment and multi-unit buildings. This solution eliminates the need for coin-operated and pre-paid card systems, providing residents with a seamless and efficient laundry experience.

```xml <problem> Traditional laundry facilities in apartment buildings often rely on outdated coin-operated or prepaid card systems, leading to inconvenience and inefficiency for residents. These systems lack real-time information on machine availability and require residents to physically manage payments and check cycle status. This can result in wasted time, frustration, and suboptimal utilization of laundry room resources. </problem> <solution> Tumble provides a smart laundry solution that transforms shared laundry spaces into NOI-generating assets by integrating IoT technology and machine learning. The platform eliminates the need for coin-operated or prepaid card systems, offering residents a seamless, app-based experience with real-time machine availability, cashless payments, and cycle tracking. Predictive maintenance and instant support minimize downtime, while streamlined management tools reduce the burden on property staff. Tumble also offers an on-demand wash-and-fold service, allowing properties to further maximize asset utilization and unlock new revenue opportunities. </solution> <features> - Real-time availability monitoring of washing machines and dryers via a mobile app - Cashless payment system integrated with the resident's mobile device - Cycle tracking with push notifications to alert residents when their laundry is complete - Machine security features to prevent unauthorized use - Predictive maintenance powered by IoT sensors and machine learning to minimize downtime - Instant support available to residents through the app, reducing the workload for property managers - Tumble On-Demand: wash-and-fold service that allows residents to schedule laundry pickup and delivery - Web dashboard for property managers to monitor laundry room usage, revenue, and machine status </features> <target_audience> Tumble primarily targets multifamily property owners and managers looking to increase net operating income (NOI) and improve resident satisfaction, as well as residents in apartment buildings seeking a more convenient and efficient laundry experience. </target_audience> <revenue_model> Tumble generates revenue through a combination of increased laundry room revenue (on average, 45%) for property owners and fees associated with the Tumble On-Demand wash-and-fold service. </revenue_model> ```

What does Tumble do?

The startup develops laundry technology that integrates IoT systems and machine learning to install connected washing machines in apartment and multi-unit buildings. This solution eliminates the need for coin-operated and pre-paid card systems, providing residents with a seamless and efficient laundry experience.

Where is Tumble located?

Tumble is based in San Francisco, United States.

When was Tumble founded?

Tumble was founded in 2019.

How much funding has Tumble raised?

Tumble has raised 11200000.

Location
San Francisco, United States
Founded
2019
Funding
11200000
Employees
12 employees
Major Investors
Hivers and Strivers

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Tumble

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Executive Summary

The startup develops laundry technology that integrates IoT systems and machine learning to install connected washing machines in apartment and multi-unit buildings. This solution eliminates the need for coin-operated and pre-paid card systems, providing residents with a seamless and efficient laundry experience.

tumble.to2K+
cb
Crunchbase
Founded 2019San Francisco, United States

Funding

$

Estimated Funding

$10M+

Major Investors

Hivers and Strivers

Team (10+)

No team information available.

Company Description

Problem

Traditional laundry facilities in apartment buildings often rely on outdated coin-operated or prepaid card systems, leading to inconvenience and inefficiency for residents. These systems lack real-time information on machine availability and require residents to physically manage payments and check cycle status. This can result in wasted time, frustration, and suboptimal utilization of laundry room resources.

Solution

Tumble provides a smart laundry solution that transforms shared laundry spaces into NOI-generating assets by integrating IoT technology and machine learning. The platform eliminates the need for coin-operated or prepaid card systems, offering residents a seamless, app-based experience with real-time machine availability, cashless payments, and cycle tracking. Predictive maintenance and instant support minimize downtime, while streamlined management tools reduce the burden on property staff. Tumble also offers an on-demand wash-and-fold service, allowing properties to further maximize asset utilization and unlock new revenue opportunities.

Features

Real-time availability monitoring of washing machines and dryers via a mobile app

Cashless payment system integrated with the resident's mobile device

Cycle tracking with push notifications to alert residents when their laundry is complete

Machine security features to prevent unauthorized use

Predictive maintenance powered by IoT sensors and machine learning to minimize downtime

Instant support available to residents through the app, reducing the workload for property managers

Tumble On-Demand: wash-and-fold service that allows residents to schedule laundry pickup and delivery

Web dashboard for property managers to monitor laundry room usage, revenue, and machine status

Target Audience

Tumble primarily targets multifamily property owners and managers looking to increase net operating income (NOI) and improve resident satisfaction, as well as residents in apartment buildings seeking a more convenient and efficient laundry experience.

Revenue Model

Tumble generates revenue through a combination of increased laundry room revenue (on average, 45%) for property owners and fees associated with the Tumble On-Demand wash-and-fold service.

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