ANYCAN TECHNOLOGY · raw details

Mobility and Balance Platform · Ramat Hasharon · Founded 2021

active Pre-Funding ← back to profile

Highlights

1 patentProfile claimed by owner

About

Mobility and Balance Platform

AnyCan Tech is an Israeli start-up company developing a full-circle AI care platform, STEADY, designed to improve overall mobility, such as movement speed and balance, by intuitively correcting and readjusting people's posture in real time while improving their natural head positioning and quality of life over time. Continuous accumulative objective user data is automatically collected, allowing app-based interaction with external interfaces and third parties.

The company has performed a proof-of-concept that included timed up-and-go and six-minute walking tests on patients in different stages of Parkinson's disease (up to stage 4). All participants showed improvement, with an average speed improvement of 25% on the six-minute walking test. The company also has indications that STEADY might reduce or minimize freezing of gait and dyskinesia and improve overall mobility, likely because of cueing, as the device uses metronome and vibration cues.

Identity

NameANYCAN TECHNOLOGY
Sluganycan-technology
Type / kindstartup
Source _id9G89PMdBzW6Bz5EKCirkazTHPrMmw1GAEX2W77x1wWmqdVaUtmzjpi

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ cityRamat Hasharon
HQ addressRamat Hasharon, Israel

Web & social

Websitehttps://www.anycan.ai
Careers pagehttps://www.anycan.tech

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesMedical Devices
Business models
B2B2CB2B
Tags
e-healthdoctorshospitalsbiosensorsdata-analyticsnon-surgicalnon-invasivemedical-devicesfall-preventioncognitive-training4g-networksmotion-trackingbig-datadetectionneurologydriver-safetyaging-populationparkinson5g-networksdigital-healthcarehealthcare-providersclinical-databrain-disorderpatientscloud-basedartificial-intelligence

Funding

Total raised
Current stagePre-Funding

Raw source document

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