Arity knows what
a bad drive costs

Imagine two drivers living on the same street, each with a similar car and an unremarkable insurance record. One takes gentle suburban trips. The other spends evenings speeding between intersections. A neighborhood average can make them look like twins. A record of their driving could make the resemblance disappear. That gap between the person on a form and the person behind the wheel is where Arity does business.

The company belongs to Allstate, but its customers extend beyond its parent. It collects and analyzes signals from mobile phones, in-car devices and connected vehicles. Those signals can reveal mileage, speed, braking and patterns of movement. The information then becomes a risk score, a crash alert, a marketing audience or a view of a roadway. An ordinary commute has acquired quite a professional life.

A claim gives the journey a price

Lots of companies can record a journey. Arity’s distinctive insurance proposition is to connect driving behavior with claims and insurance exposure. An abrupt stop tells you something happened. Claims data can help a model learn how behavior relates to insured losses, including the frequency and severity of accidents. For an insurer, that second connection is what makes the observation commercially useful.

This distinction explains why Arity describes Drivesight as a driving-risk model built to work alongside existing rating factors. Insurance already measures risk through multiple variables. Adding a driving score carelessly can count related risks twice. Arity says its modeling accounts for traditional rating information and supports coverage-specific loss predictions. The useful question is how much the new signal adds to the insurer’s existing view.

The origin is unusually practical. Arity’s predecessors worked on telematics inside Allstate from 2014. Allstate founded Arity as its own company in November 2016; its first offering was the Driving Engine software development kit, allowing carriers to collect mobility data through their own apps. National General became its first signed external customer in 2017. The experiment was to sell a capability that an insurer had already needed for itself.

That inheritance includes insurance expertise, not merely a convenient corporate address. Arity’s work brings actuaries, data scientists, engineers and product teams together. It sits in the insurance telematics market alongside alternatives such as Cambridge Mobile Telematics and IMS. A buyer’s choice depends on the job: building a driving program, acquiring a score at quote, or adding another dataset to a pricing model.

The policy used to arrive before the evidence

Traditional telematics programs have an awkward sequence. Enroll a customer, collect a period of driving, then learn enough to adjust the assessment. The initial price may be set before the most interesting evidence arrives. Arity IQ, launched in 2021, changes the timing by making previously collected driving intelligence available when a participating insurer prepares a quote.

That is a distribution idea as much as a data idea. Consumer apps and connected vehicles can create the driving history before the customer reaches an insurer. Under Arity’s stated approach, the customer must authorize its use for a personalized insurance quote. The carrier gets another input during shopping, without first operating a complete standalone collection program.

The May 2026 partnership with Experian pushes that approach into an existing insurance marketplace. The companies describe consumer education and consent as the starting point, followed by driving intelligence in quoting and qualification workflows. Experian supplies access to shoppers; Arity supplies the behavioral information. Both are trying to reduce the effort required to put the signal where an insurer can act on it.

Better segmentation does not guarantee a cheaper policy for everyone. An insurer seeking a more accurate picture may find a careful driver it had overpriced. It may also find a driver whose risk it had underestimated. Arity acknowledges that driving-based adjustments can move prices in either direction. A score is useful to a carrier precisely because it makes distinctions.

Four months to a different map

Quincy Mutual offers a more tangible example than a sweeping promise about artificial intelligence. The New England insurer faced geographic pricing constraints and thin data in some territories. Its own customers supplied a partial view of the people driving there. Its agents and preferred customer mix could also shape the sample. The insurer needed a broader window onto local behavior.

Geosight supplies aggregated, anonymized driving information at ZIP-code and state level. Arity launched it in September 2025. The dataset adds mileage, speeding, braking and time-of-day patterns to geographic risk analysis. Historical losses still matter; the new material gives the insurer another way to assess what is happening in a territory.

“Geosight gives us visibility we simply didn’t have before.”Todd Lehmann, Quincy Mutual, in an Arity-published interview

According to Arity’s case study, Quincy evaluated the data, updated its models and filed revised territorial relativities in about four months. That is a specific implementation result. It does not establish how much the insurer saved or what happened to every customer’s premium. Its value as a case study is the visible chain from a blind spot to an evaluation to a changed pricing workflow.

The example also supplies a useful buying lesson. Start with a decision that is currently difficult. Ask whether the data improves it. Geosight’s page offers sample data and an evaluation; prices are handled through sales. The economic test for a buyer includes the contract, internal analysis and any required filing work. A large dataset can still be an expensive distraction if nobody knows which decision it should change.

The same drive has other customers

Arity’s expansion beyond insurance follows the versatility of the observations. Crash Detection, launched in 2018, helps mobile apps recognize potential accidents and trigger a response. Life360 says Arity powers driving-related features including drive detection, speed, driving reports and crash alerts. Its insurance quote program is separately optional and requires explicit authorization.

The advertising business makes a different use of movement. Arity Audiences organizes driver segments around attributes such as risk, mileage and commuting habits. Its marketing and lead platforms help insurance businesses find and acquire customers. Retail and traffic products turn movement into information about road use and consumer demand. The same company can help assess a policyholder and help an advertiser decide whom to approach.

Then there is the street itself. In June 2026, Arity and Replica launched Safety Hub for public agencies. It combines Arity’s driving behavior data with Replica’s information about walking, cycling and vehicle movement, plus crash records. The intended use is to identify risky corridors and prioritize interventions earlier. Arity also announced a strategic investment in Replica.

A dangerous crossing may reveal itself through excessive speeds or repeated hard braking before a complete crash record reaches a planning team. Those signals can guide investigation. Whether a particular intervention reduces harm still has to be measured. Replica’s July 2026 research across six jurisdictions argues against a single national threshold, a useful reminder that a road in one place is not interchangeable with a road in another.

Permission is part of the product

The company’s most consequential friction concerns permission. In January 2025, the Texas attorney general sued Allstate and Arity, alleging driving data had been collected, used and sold without adequate notice or consent. Those are allegations, not established findings. Arity disputes them and says consumers must agree before their information is shared for a personalized insurance quote.

The distinction matters because several activities can sit inside one app: driving features, aggregated traffic analysis, advertising and insurance shopping. Life360’s current explanation separates those uses and describes controls for them. It also notes a mundane but revealing limitation: driving insights depend on identifying whether the person carrying the phone was the driver or a passenger.

A phone does not automatically know who deserves the credit for a gentle journey, or the blame for a wild one. Attribution, consent and model calibration all affect whether a useful observation becomes a defensible decision. Arity’s data principles say partners must have the necessary rights to share information. The business case depends on those rights surviving scrutiny.

Borrow the discipline, not the database

There is a practical lesson here for anyone buying analytics. Connect observations to outcomes, test their contribution to an existing workflow, and make the permission understandable. Quincy’s territorial pricing work supplies a concrete pattern. Arity IQ supplies another: move relevant information closer to the moment of decision. Neither requires believing that more data settles every argument.

Arity has turned years of everyday movement into a business spanning insurance, apps, marketing and public safety. Its ambition is coherent: better information about driving should produce better decisions about driving. The hard work is proving the connection for each customer, each place and each permitted use. A mile can have many meanings. The bill depends on which one you can defend.