Introducing Fallumi
fallumi.

Predict falls.
Detect incidents.
Reduce harm.

Fallumi is a non-invasive, privacy-preserving fall detection device powered by on-device intelligence. We help detect falls, assess their severity, and enable faster responses without compromising personal privacy, while helping lower healthcare costs, reduce operational expenses, and minimise financial risk.

Non-wearable todayCamera + algorithm prototypePrivacy-first vision
02 / The Problem

Falls are a silent healthcare crisis.

~18 / day

Australians died from fall-related injuries in 2023–24 (6,722 deaths).

03 / Financial Impact

Every fall carries a cost beyond the injury.

A$5.4B

Estimated annual Australian healthcare expenditure on fall-related injuries (2023–24).

US$10.9K

Estimated average fall cost in US assisted living

US$9.33K

Estimated average fall cost in US memory care

US$380K

Estimated annual fall-related cost exposure per US senior care community

Fallumi aims to reduce avoidable healthcare, operational and financial costs.

04 / The Evolution

The Evolution of Fall Detection

Every evolution adds a capability, building toward one seamless device.

1
THE BEGINNING
Wearable
2
FALLUMI TODAY
Non-Wearable+Non-Invasive
3
NEXT EVOLUTION
Non-Wearable+Non-Invasive+Privacy-Preserving
4
THE FINAL VISION
Non-Wearable+Non-Invasive+Privacy-Preserving+Edge-Based
05 / Market Appetite

The Market Is Already Spending.

US$517M

Market revenue

Estimated global fall detection market in 2025

US$940M

Projected market

Annual market revenue projected by 2033

1,000+

Care communities

SafelyYou reports supporting this many communities

50,000

Residents

SafelyYou reports supporting this many residents

A commercial category with real adoption and room for innovation.

06 / Business Model & Validation

Proven Potential. Scalable Business Model.

Who we sell to

Insurers

Hospitals

Aged Care

Home Care

Retirement Living

Individuals

Revenue model

Device sales / leasing
Future software subscriptions
Enterprise licensing

Technical validation
Research stage
6,244

Videos evaluated across four datasets

DatasetVideosRecall
FallVision5,86690.57%
SFU/TIPS2885.71%
Le2i190100%
GMDCSA-24160100%

Recall is the proportion of falls detected, not overall accuracy. Field performance and false-alarm rates remain to be validated.

07 / Competition

A Growing Competitive Market.

Four overlapping solution categories. Fallumi's current prototype is camera-based.

Wearable Detection

Apple Watch · Google Pixel Watch
UnaliWear · Medical Guardian
Bay Alarm Medical · CarePredict

Camera-Based AI

SafelyYou · Nobi · Voxela
KamiCare · AltumView
FALLUMI TODAY

Radar Detection

Vayyar Care · Cherish Health
Sentrix

Ambient Care Intelligence

Inspiren · Oxevision
care.ai · Xandar Kardian

08 / Capital Raised

Investors Are Already Betting Big.

09 / Team

Built on Research. Proven by Impact.

M

Mohamad Al Addam

Founder, Fallumi

Ex Electrical Engineer. Current PhD in Health.

A$17M

Telstra | 2018

Invented a battery optimisation algorithm delivering reported savings.

A$12M

VicRoads

Root cause analysis of pole deterioration delivering reported savings.

A$29M

Combined reported cost savings

10 / Our Vision

One Device.

A single non-wearable, privacy-preserving device, placed wherever monitoring is needed.

Fall Detection

Breathing

Heart Rate

No Wearables. No Cameras. Edge Intelligence.

11 / The Ask

We're Looking
for Partners.

Help us take Fallumi from research to real-world impact.

01 Strategic Partnerships
02 Pilot & Validation Opportunities
03 Industry Connections & Introductions

Let's Build the Future of Safer Care.

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