US 12,253,998 B1
System and method for qualifying collected data
James Anderson, Morris Plains, NJ (US); and Thomas J. Saleh, Stamford, CT (US)
Filed by Validate Me LLC, Stamford, CT (US)
Filed on Apr. 24, 2023, as Appl. No. 18/138,609.
Application 18/138,609 is a continuation in part of application No. 17/962,718, filed on Oct. 10, 2022, granted, now 12,153,587.
Application 17/962,718 is a continuation in part of application No. 17/674,945, filed on Feb. 18, 2022, granted, now 11,593,415.
Application 17/962,718 is a continuation in part of application No. 17/519,634, filed on Nov. 5, 2021, granted, now 12,001,529.
Application 17/674,945 is a continuation in part of application No. 17/519,634, filed on Nov. 5, 2021, granted, now 12,001,529.
Int. Cl. G06F 16/23 (2019.01)
CPC G06F 16/2365 (2019.01) [G06F 16/2358 (2019.01)] 10 Claims
OG exemplary drawing
 
1. A system for qualifying collected data for specific entities, comprising:
a managed secure-immutable-nonreputable-replicated-verifiable and fault-tolerant distributed datastore;
an ensemble-based network of both existing and newly-created heterogenous single- and multi-factor ID validation services, including commercial organizations requiring valid entity IDs and service providers supplying technology services for ID validation;
an intelligent gateway for validation, verification, and trusted confidence values of an entity for each type and level of identification needed, utilizing a combination of distributed and centralized systems, rules, and preferences;
a peer-to-peer blockchain system for processing, implementing, and cross-checking identification validation parameters and results;
an analysis module for monitoring and analyzing validation data changes over time, comparing historical data with newly received identification verification parameters and emotional, mood, or feeling responses to emotional, mood, or feeling prompts, and storing changes and iterative analysis results as part of the data record with continuous updating; and
a confidence score and/or trust score module for augmenting confidence and/or trust scores with additional data that is independent of any other specific available data already available.