Moter Technologies: Assessing Risks Through Algorithms And Data Science

Craig Lozofsky, Co-Founder and COO, Moter TechnologiesCraig Lozofsky, Co-Founder and COO
The modern car is increasingly becoming a “computer on wheels”. As a result, an enormous amount of data from advanced sensors and safety systems from these smart, connected cars is generated every minute. MOTER Technologies, a software development and edge computing data science company, analyzes this information to develop data-driven services that benefit automakers, insurers, and drivers in assessing and reducing driving risks.
  • By combining our expertise in both automotive data and insurance analytics and deploying our software on the vehicle using edge computing technology, we are able to efficiently create valuable data science products to evaluate driving and next-gen vehicle applications


MOTER’s substantial experience in edge computing, data science, and insurance risk analytics has empowered it to develop and provide a data analytics software platform that serves as a conduit for information between the automotive and insurance ecosystems.
The platform utilizes a comprehensive dataset from automobiles and sensors to precisely assess the performance of vehicles and drivers and produces collision analytics and driver risk intelligence metrics. This enables insurance firms, OEMs, and drivers to access crucial insights about good and bad driving practices.

MOTER’s platform helps detect risky behaviors like speeding, tailgating, and ignoring traffic signs through the onboard sensors and cameras in real-time and provides a trip summary with the driver’s score. Drivers can use this valuable information to improve their driving habits and reduce the chance of getting into an accident. Another crucial provision of the platform is collision analytics, which provides a comprehensive crash assessment to drivers and insurers. This information helps evaluate the damage, identify the parties at fault, and efficiently handle the entire insurance filing and claiming process.

The driver risk intelligence information provided by MOTER allows insurers and fleet owners to capitalize on the data by pricing their services per the individual driver’s risk factors. Automakers can use the relevant data to manufacture products with enhanced functionality, which contributes positively to the overall driving experience.

“By combining our expertise in both automotive data and insurance analytics and deploying our software on the vehicle using edge computing technology, we are able to efficiently create valuable data science products to evaluate driving and next-gen vehicle applications,” says Craig Lozofsky, co-founder and COO, MOTER Technologies.

MOTER’s highly accredited team of software engineers and data scientists developed the company’s software platform to run on local edge servers close to the data source. Since the data is collected and evaluated on the vehicle, the risk of any sensitive information being transmitted to the cloud where third parties can access it is significantly reduced. Committed to preserving the right to privacy of an individual, MOTER only shares user-approved data with insurance companies and OEMs. The on-vehicle computing capability offers significant benefits by increasing the speed at which data is processed and reducing the costs associated with transmitting and processing data in the cloud.

The future of the automotive industry is connected cars, and software-based data analysis and management solutions will form its foundation. MOTER’s deep understanding of the functioning of insurance and automotive companies has allowed it to commercialize connected car data and develop new insurance products and services by collaborating with OEMs and insurance firms. Considering various critical factors like safety, customer experience, and environmental benefits, MOTER is set to facilitate the evolution of transport.
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Company
Moter Technologies

Headquarters
Torrance, CA

Management
Craig Lozofsky, Co-Founder and COO

Description
A software development and data science company in Los Angeles, to leverage the organization’s capabilities in the efficient use of connected car data to understand driving risk and produce insights into driving and safety.

Moter Technologies

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