12 years of predicting BI claim outcomes for commercial auto + GL carriers. 15 employees mostly in Chicago and NYC. Investor in #insurtech #insurance
Chicago, IL
Joined January 2024
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Defense teams shouldn’t rely on gut instinct.
At Quaker Analytics, we analyze litigation & claims data to uncover:
• Emerging risk trends
• Venue exposure patterns
• Counsel performance insights
• Settlement benchmarks
Follow us for data-driven insights for insurance & defense professionals.
No shockers here. The data we've been collecting from carriers over the past 12 years paints an even-worse picture for commercial auto.
Claims staying open longer is deadly for carriers. One of the best features we have at Quaker is predicting the ultimate ALAE and paid loss for each claim. We break it down into daily, monthly and annual cost. Often times an adjuster will kick the can down the road on a claim, justified with something like, "Well, we're just waiting on ____ (a deposition, a SIU investigation report, etc.)". It becomes a lot harder for an adjuster to do that when they're staring at a statistic that says, "Every day that goes by where this claim stays open, the ultimate paid loss is expected to increase by x dollars". Suddenly that piece of information they were waiting on becomes less important, and they're more inclined to work towards a faster settlement.
Interesting footnote at the end of the article that while Tort Reform in Florida has been largely successful, they expect the reform to have muted results on commercial auto (since plaintiffs have greater ability to pursue venue shopping and move cases out of Florida)
riskandinsurance.com/social-…
Will we be seeing anyone out in San Diego for the #TIDA seminar? We'll be talking about our jury simulation tool called Quaker Focus™ and giving insight about our predictive analytics models that help resolve commercial auto insurance claims. 🚛
#commercialauto #insurance
Just a friendly reminder here that our software/models will help your claims close faster. 👀
#commercialautoinsurance #claimsintelligence
Ever wonder why some commercial auto claims are still open in year 3?
In our new case study, the most common close time shifted earlier in the last 5 years: lower severity 2y to 1y; higher severity 3y to 2y.
bit.ly/4uqJOKt
#Insurance #Claims #Analytics
A plaintiff lawyer does not need an A+ presentation to produce an A+ verdict. The argument the defense grades as C- may be the one jurors accept. Paul Berne examines what trucking and commercial auto teams should do now. #Trucking #Insurance
bit.ly/4fRm2Cl
Jurors may not understand how freight is brokered, but they may ask one simple question: "Wouldn't you expect a broker to hire a safe company?" Paul Berne explains why the defense story should be tested early. #Transportation #InsuranceClaims
bit.ly/4fRm2Cl
After Montgomery v. Caribe, broker selection facts may play a larger role in trucking litigation. Our latest article looks at the ruling through a commercial auto claims lens.
bit.ly/4vGCri5
#CommercialAuto #ClaimsManagement #Trucking
Broker liability is no longer only a legal pleading issue. In some trucking cases, it may shape discovery, settlement value, defense cost, and jury risk.
bit.ly/4vGCri5
#RiskManagement #Insurance #Transportation
Great program here... highly recommended if you're building in the InsurTech space. David Gritz and Tony Lew do an outstanding job and are as well-connected as it gets in the insurance ecosystem.
Anyone wondering why VC's + Insurtech MGA's don't really mix... just send them this clip. Generalist VC's will never have the patience necessary to slowly build a profitable book of business (nor should they given their business model)
Some great Insurtech-focused VC's out there who get it though (@InsurTechNY, Markd, etc.)
One important lesson for all investors comes from Berkshire's Ajit Jain's exact mandate to his underwriting team: "Your job is to say no. Every now and then you will come across a deal that'll hit you with a 2x4 and it'll be screaming money." Abel and Jain are not budging. They are earning a risk-free yield and waiting for structural market dislocation. The capital discipline remains ruthless.
$BRK.A $BRK.B
Sounds like no one in the property market has figured out they could be making a killing by just lowering unnecessary expenses?
Or maybe it's one of the most hyper-efficient markets in the world with constant pull-backs in capacity and new entrants, and the price is the price for a reason?
One or the other
A new analysis suggests Americans are being overcharged by $150 billion annually to insure their homes, autos and businesses — and it proposes federal guardrails so that a public beset by affordability... insurancejournal.com/news/so…
Rest assured carriers will eventually figure this out... and then leave the ultimate decision to a 25 year old underwriter with a sociology degree*
*nothing but respect for the sociology degree, for the record
There’s a big gap between cybersecurity risk and regular motor vehicle risks for autonomous vehicles, that insurers struggle to address, say experts from @iiiorg @Actuary_Dot_Org. bit.ly/3QKXOiU #AutonomousVehicles #AutoInsurance #cybersecurity #insurtech #DigitalInsuranceNews
Interesting take here... that AI is less likely to disrupt small commercial + personal (messy, low-margin, relationship-driven), and way more likely to disrupt the complex accounts of large brokers (fat margins, info asymmetry matters more).
The fact that carriers are essentially splitting their net-basis margins on complex accounts with big brokers is insane... and if it doesn't make sense, it can't last. AI might commoditize small brokers / reduce commissions / shift power to carriers.... but at the end of the day it's naturally going to gravitate towards eroding the biggest margins.
Not sure I'd bet against the capital, data and distribution of the Big 3 when it comes to the AI race, but always love a hot contrarian take
iansbnr.com/what-everyone-is…
Commercial auto claims: how long do claims stay open, and is that changing?
Our new case study looks at closing timelines over 10, 5, and 3 years, split by severity and filed suit status.
bit.ly/4uqJOKt #Insurance #Claims #Analytics
Ever wonder why some commercial auto claims are still open in year 3?
In our new case study, the most common close time shifted earlier in the last 5 years: lower severity 2y to 1y; higher severity 3y to 2y.
bit.ly/4uqJOKt
#Insurance #Claims #Analytics
In other words, don’t invite anyone from the insurance industry to your SPD party
🍀 Hosting a St. Patrick’s Day celebration?
Checking your #insurance coverage, limiting alcohol, and ensuring a safe environment can help protect you and your guests.
Learn more tips for a safe and responsible celebration: bit.ly/49Y7jm8
ALT A group of people hold mugs of green beer over a table filled with various snacks, including pizza, pretzels, and sliced meats. The setting suggests a festive atmosphere, possibly celebrating St. Patrick's Day.
What’s crazy is that Amazon has more data on their own trucks than anyone… driver info, telematics, driving behavior, etc… and they still choose to hand it off to specialty last mile MGA’s like Inshare to underwrite
New Quaker case study: Harris County minor soft-tissue injury claims show the biggest plaintiff attorney uptake between days 30–90.
We treat Day 90 as a decision checkpoint, then layer in loss distributions (not just averages).
bit.ly/40wmzRw
#DataScience #Insurtech #Insurance #ClaimsManagement
Point estimates hide risk. Our latest post uses timing windows + quartiles/violin distributions to frame severity and attorney risk for commercial auto claims. Practical, venue-specific, and very nerdy.
bit.ly/40wmzRw
#DataScience #InsuranceAnalytics #Insurtech #Claims
Social inflation isn’t a headline problem. It’s a file-level problem.
5 early warning signs a trucking claim may be headed toward runaway severity: bit.ly/4kBllOm
#TruckingLaw #InsuranceDefense #SocialInflation
