Spinframe Technologies

Large-scale Vehicle Monitoring Solution

Automotive & Mobility Technologies
Active
Seed Yokne'am Illit Founded 2017
Total raised
$9.0M
Last: Seed 2023-05
Stage
Seed
Founded
2017
Headcount
23
HQ
Yokne'am Illit
Sector
Automotive & Mobility Technologies

About

Spinframe develops vehicle-inspection systems based on artificial intelligence, computer vision, and machine-learning technologies that create digital twins for vehicles throughout the supply chain and detect anomalies from the assembly line throughout the vehicle journey to the dealership and end customer.

Spinframe's technology makes it possible to monitor a large volume of vehicles without requiring any human intervention, in environments such as maritime ports, large transportation and logistics hubs, parking lots, dealerships, rental branches, and service centers.

The company's platform combines advanced image-capturing and processing methods with in-house machine-learning techniques for identifying and classifying damage. The data is stored in a cloud platform, enabling instant visualization and sharing of fleet status over time and at every checkpoint through a single interface and a single platform.

Funding history · 3 rounds · $9.0M total

2023-05
Seed $8.0M
2022-12
Pre-Seed $1.0M
2021-10
Undisclosed Undisclosed

Sectors & technology

Primary sector
Automotive & Mobility Technologies
Sub-sectors
Automotive & Mobility TechnologiesAutonomous & ConnectedFintech & InsurtechInsurtech
Technologies
Platforms & InterfacesMobileSimulation & ImagingDigital TwinArtificial IntelligenceMachine LearningComputer Vision
Target customers
Transportation & LogisticsTransportation InfrastructurePorts & HarborsLogisticsMaritimeIndustrial ManufacturingDiscrete IndustriesAutomotiveFinancial ServicesFinancial ProductsInsuranceConsumersTransportation & MobilityDrivers
Business model
B2B

Highlights

Verified

Tags

claim-managementsafetyfleet-management3d-imagingautomotivemobile-applicationsinsurance-companiesartificial-intelligencelogisticsinsurtechvisual-inspectionsmart-mobilitycomputer-visiondigital-twinmachine-learning