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Consumer Protection & Privacy Act Cases are Our Specialties

As a software company, being an inch wide and a mile deep positions us to be the outright leader in the space. Once engaged with the solution, you will unequivocally agree.

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CLAIMSCORE'S VALUE IN REAL CASES

Recent Case Experience

Jimenez v. Artsana USA Inc.

Case No. 7:21-cv-07933-VB (United States District Court, Southern District of New York). Eliminated over 8.9 million fraudulent claims; saving the defendant over $330M.

Nixon, et al. v. Grande Cosmetics, LLC

Case No. 4:22-cv-00071-JSC (U.S. District Court for the Northern District of California). Eliminated over 98% of submitted claims as fraudulent; increased the common fund payments to class members by 58% due to improved accuracy, in partnership with the Administrator.

Daniell Skarpnes, et al. v. Elixir Cosmetics OPCO, LLC

Case No. CU23-04638 (Superior Court of California, County of Solano). Eliminated over 98% of submitted claims as fraudulent; increasing the common fund payment to class members by 55x.

Rosenfeld & Ryder, et al. v. AC2T, Inc.

Case No. 506882/2023 (Supreme Court of New York, Kings County). Eliminated over 98% of submitted claims as fraudulent; ensured class members were paid full amount from common fund (i.e. no pro-rata discounts required).

CASE STUDY

With & Without ClaimScore

Anticipated vs. Actual Claim Rates
1M

Total
Class Size

7%

Anticipated
Claims Rate

70K

Anticipated Number of Claims

5M

Actual Claims Received

Anticipated Claim Type Distribution
Anticipated Payouts by Claim Type
No Proof
$25
With Proof
$50
Known Class Member
$50
without ClaimScore
99.5%
Valid Claim Identification Accuracy
99.5%
98%
Fraud Identification Accuracy
80%
$98,600
Claims to be Paid
$986,000
Common Fund Payout Amounts
without ClaimScore
$20.36
No-Proof Claim Payout
$2.13
$40.73
With Proof Claim Payout
$4.26
$40.73
Class Member Payout
$4.26
Claims Made Payout to Class
$3,470,357
without ClaimScore
$33,453,571
We aren't just number one

We're the only
independent game in town.

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Consumer Fraud and Privacy Act cases are categorically popular. They yield high volumes of claims and require little evidence from claimants. They are popular on TikTok and revenue generating websites have been created sheerly to report to the general population how they can collect "Free Money". Here is how we combat these cases:

Speed

When you are talking about 10s to 100s of thousands of claims, review times can be an exponential problem. We can handle bulk submissions of over 150k claims in hours and live review claims at a frequency of 1,000's of claims/minute, indefinitely.

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Accuracy

At this volume, correlations between claims that should yield rejection are often undetectable by humans. 20+ Years of experience went into our expert system AI and we've doubled down on accuracy by adding neural network machine learning.

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