Highlights
Climate techIIA supported (ever)Profile claimed by owner
About
Predictive Maintenance for Mechanical Systems and Pipelines
DiagSense specializes in anomaly detection for mechanical systems using machine learning and data analysis, enabling the early identification of potential failures. The company’s software provides real-time leak detection for oil and gas pipelines, integrating seamlessly with SCADA systems to monitor flow and pressure data. DiagSense also offers solutions to enhance manufacturing processes by analyzing machine data, identifying patterns, and alerting operators to issues before they escalate.
Identity
| Name | DiagSense |
|---|---|
| Slug | diagsense |
| Type / kind | startup |
| Crunchbase ID | diagsense |
| Source _id | agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgN7R9fcIDA |
Status
| Status | active |
|---|---|
| Last update | 2026-05-17 |
Location
| HQ country code | IL |
|---|---|
| HQ region/district | Center District |
| HQ city | Tel Aviv-Yafo |
| HQ address | Yigal Alon Street 94, Tel Aviv, Israel |
Web & social
| Website | https://www.diagsense.com |
|---|---|
| https://www.linkedin.com/company/5199921 | |
| Twitter / X | https://twitter.com/diagsense |
Classifications
Primary sector Industrial Technologies
Sub-sectors
Energy TechEnergy Consumption & EfficiencyIndustrial TechnologiesOperational Optimization Solutions
Technologies
SensingArtificial Intelligence
Target customers
Industrial ManufacturingGovernment & CityMunicipalities
Business models
B2GB2B
Tags
clean-manufacturingpipes-and-pipelinesalert-systemwater-loss-preventionartificial-intelligenceearly-detectionmanufacturing-facilitiesleak-detectionpredictive-maintenancesensorsautomotivewater-savingenergy-usagewaterpredictive-analyticsindustry-4-0municipalitiesbig-data-analyticsmonitoring
Funding
| Total raised | $100K |
|---|---|
| Current stage | Pre-Funding |
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