Total raised
—
Stage
Pre-Funding
Founded
2016
Headcount
1
HQ
Tel Aviv-Yafo
Sector
Automotive & Mobility Technologies
About
SONICLUE develops a technology designed to detect and diagnose current and impending vehicle malfunctions through sound. The companys solution will allow vehicle owners to perform preventive maintenance on their vehicles before a malfunction occurs, save on repair costs, and become knowledgeable about their vehicles current condition, in particular before arriving at a repair shop.
Company Intelligence Q&A
Structured intelligence from startupim data — optimized for AI retrieval and grounding.
- What is SONICLUE's primary focus?
- SONICLUE develops technology for preventive automotive maintenance, specifically designed to detect and diagnose vehicle malfunctions through sound.
- When was SONICLUE founded?
- SONICLUE was founded in January 2016.
- What is the current operational status of SONICLUE?
- SONICLUE is currently inactive, having ceased operations in November 2019.
- Where is SONICLUE headquartered?
- SONICLUE is headquartered in Tel Aviv-Yafo, Israel.
- What technologies does SONICLUE utilize in its solution?
- SONICLUE utilizes Artificial Intelligence, Machine Learning, Sensing, and Acoustics in its technology.
- Who is a known founder of SONICLUE?
- Assaf Topor is a founder of SONICLUE.
- What is SONICLUE's current funding stage?
- SONICLUE is in the Pre-Funding stage.
- What is the estimated employee count for SONICLUE?
- SONICLUE has an estimated employee count of 1-10 people.
Sectors & technology
Primary sector
Automotive & Mobility Technologies
Sub-sectors
Automotive & Mobility TechnologiesUrban Mobility
Technologies
Artificial IntelligenceMachine LearningSensingAcoustics
Target customers
ConsumersTransportation & MobilityDrivers
Business model
B2B
Highlights
Verified
Tags
artificial-intelligencemaintenanceautomotivemachine-learningservice-providerssafetytelematicspredictive-maintenancemobile-applicationssound-technologysensorsbig-data-analyticsdriversdriver-safetyfleet-managementdeep-learningconnected-vehiclesautonomous-vehiclessmart-mobility