Connected Car Insurance

Unlocking Connected Car Data: Telematics Based Insurance

Telematics is transforming the automotive insurance industry where insurance companies, OEMs, telematics specialists, and data insights providers are all increasingly engaging with the insurance-related opportunities offered by telematics data.

Upstream’s cloud-based mobility cybersecurity and data analytics platform designed for smart-mobility, autonomous vehicles, and insurance products unlocks the value of connected car data and offers unparalleled value to insurers.


The power of telematics data in the hands of the insurer

Connected vehicles automatically generate data from many different vehicle sensors that are embedded within and throughout the vehicle without the need for any supplementary dongles or applications. In-depth analyses of this data combined with behavioral profiling capabilities allows Upstream’s platform to provide critical insights and the opportunity for true and effective telematics-based automotive insurance. 

The cloud-based platform requires no in-vehicle dongles or hardware, is developed with automotive domain knowledge embedded in the platform, is purpose-built for connected vehicle data and smart mobility services like insurance, and is adaptable, allowing insurers to utilize automotive data for multiple use-cases and extended insurance offerings. 

When implemented effectively, Upstream powered telematics data insights allows insurers to:

Manage and uniquely
underwrite risks

Offer personalized and competitive premiums based on driver usage and behavior

Reduce costs

Adopt new approaches to the insurance claims process and accelerate the first notification of loss

Increase revenue

Satisfy the consumer demand for higher-value and next-gen insurance products, applications, and services


Nearly all telematics-based insurance programs heavily rely on expensive devices to capture and analyze driving data, requiring after-market OBD-II dongles, “black-boxes”, or mobile applications that are added or retrofitted to vehicles. 

Upstream’s cloud-based automotive data platform, however reduces costs by expanding an insurer’s data analytics capabilities and removing any reliance on in-vehicle hardware or mobile devices.


Most OEMs and TSPs use proprietary and unique data sets and protocols, making it difficult for automotive insurers to effectively utilize all accessible automotive data in order to effectively analyze and calculate policyholder risk. 


Upstream however developed a universal automotive dictionary that establishes a standardized data model. The standardized model enables using multiple data feeds and telematics services from multiple sources, versions, and protocols/formats in a single centralized detection point.


The profitability of telematics-based insurance is based upon the enhanced applications of full vehicle data, and the data collected by dongles or devices limit the ability to offer insurance add-ons.


Upstream’s insurance-specific application abilities however, allow insurers to manage risk and offer personalized and competitive premiums based on driver usage and behavior and enable additional insurance applications such as process-free claims, predictive maintenance, cyber protection, enhanced actuary models, and car-crash alerting with near-immediate first notification of loss.


Collecting and gaining access to OEM data is a complex and often frustrating process. 


Upstream offers to act as a one-stop-shop and collect the telematics data from the OEMs on an insurance company’s behalf. Upstream will manage all legal, commercial, and technical aspects of OEM telematics data collection to provide an insurance company access to multiple OEMs’ telematics data.


Many insurance companies calculate automotive insurance premiums based on an actuarial modeling of the insured’s vehicle, driving profile, and coverage requested. 


Upstream’s access to aggregated OEM telematics data and analytics from millions of vehicles and telematics servers worldwide however, enables insurers to adapt actuarial pricing decisions based on empirical telematics data.