EarlySense

Hospital Patient Monitor Beneath Mattress

Healthcare, Monitor, Patient
Deep Learning

Business Overview

EarlySense has introduced an innovative continuous patient monitoring solution designed to enhance patient safety and reduce risk for general care patients. Founded in 2004, EarlySense is a dynamic, rapidly growing company focused on next generation patient monitoring systems for hospitals, healthcare systems, integrated delivery networks and rehabilitation centers. Without ever touching the patient, the EarlySense System provides continuous patient monitoring for Heart Rate, Respiratory Rate and Motion, to potentially allow the clinical team to manage: Early Detection of Patient DeteriorationFall PreventionPressure Ulcers Prevention EarlySense’s real-time delivery of actionable data, together with patient management tools, empower the clinical staff to identify potentially critical situations early, before they become high risk. The system has been developed specifically for medical surgical, general care patients who are usually monitored by nurses once every four to six hours. In the event of a change in a patient’s status, the system notifies nurses at the central nursing station, on large screens in prominent locations and on personal handheld devices.

Operating Status
Active
Founded
June 2004
Employees
100
Business model
B2B
Offering type
Hardware, Software
Business stage
Launched
Revenue status
Revenue Generating
Funding stage
Series F
Total funding
$150 Million
Sectors
Healthcare, Monitor, Patient

Founders

EarlySense
Danny Lange
Serial Entrepreneur
EarlySense
Yossi Gross
EarlySense
Avner Halperin

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
3.3x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

February 2021
Acquisition
$30 M

AI Technology Stack

AI Description

Minute-by-minute continuous monitoring of patient’s vitals signs to detect patterns of clinical significance, such as:
– Tracking patient acuity
– Sleep analysis
– Respiratory depression.

AI employees
9
AI types
Deep Learning

Certifications and Approvals

Patents

US-2020275876-A1
US-2020281523-A1
US-2019254570-A1

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Startup Snapshot

Total funding
$150 Million
Operating Status
Active
Founded
June 2004
Funding stage
Series F

CONTACT

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