Urecsys · raw details

Air Quality Optimization Solution · Tel Aviv-Yafo · Founded 2012

active Series A ← back to profile

Highlights

Climate techIIA supported (ever)1 patentProfile claimed by owner

About

Air Quality Optimization Solution

Urecsys provides an automated ventilation and indoor air quality management system aimed at improving health outcomes and reducing energy consumption. The company’s patented technology is designed to protect building interiors from exposure to outdoor pollutants while helping manage operational costs and regulatory compliance.

The system integrates directly with a building’s management system (BMS) and continuously adjusts ventilation settings in response to real-time variations in outdoor air quality. It increases air intake when outdoor conditions are favorable and reduces intake during periods of high pollution.

Powered by artificial intelligence, the platform performs real-time predictions of indoor air quality during building occupancy. These predictions are based on analysis of urban pollution levels and other contextual variables, enabling dynamic adjustments to optimize indoor air quality.

Urecsys’ system is designed to support compliance with ASHRAE ventilation standards and contribute toward meeting sustainability and health benchmarks, including LEED points, BREEAM compliance, and WELL certification.

Identity

NameUrecsys
Slugurecys
Type / kindstartup
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAwOGlg5UKDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressHaShalom Rd 7a, Tel Aviv-Yafo, 6789208, Israel

Web & social

Websitehttps://www.urecsys.com
LinkedInhttps://www.linkedin.com/company/13022845
YouTubehttps://www.youtube.com/channel/UCatdE7rkxx8lFJdIMpphXQg

Classifications

Primary sector Industrial Technologies
Sub-sectors
Climate TechClean Industry Tech Green ConstructionIndustrial TechnologiesOperational Optimization Solutions
Technologies
Artificial IntelligenceMachine Learning
Target customers
Real Estate & ConstructionManagement
Business models
B2B
Tags
smart-homeclimate-techclean-airresidential-sitesschoolsenergy-savingsaascommercial-sitesconstructionmachine-learningbig-dataproptechmonitoringartificial-intelligencesoftware-applicationssmart-citygreen-construcion

Funding

Total raised$14.5M
Current stageSeries A

Raw source document

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