Granted Patent B2

US 12,619,626 · App. 18/382,635 · Granted May 5, 2026

Inventors: Vivek Vishnoi (Cupertino, CA); Steven Sanghoon Lee (Sunnyvale, CA)

G06F16/254G06F9/54G06F16/2379H04L12/66

Abstract

Claims (86)

1 . A machine implemented method of processing data, the method comprising:

identifying a configuration for responding to a request for results-data, the identifying comprising:

determining a requisite number of isolated environments to respond to the request;

determining a number of necessary process modules comprising one or more applicable processes;

determining the need for an interceptor, the interceptor for providing isolation for one or more of the process modules;

determining an appropriate number of data modules and/or submodules, the modules and submodules for implementing the configuration for responding to the request;

the configuration for:

receiving acknowledged receipt of the requested data, processing, and/or results;

disassembling the instantiations such that source data and/or source entity is secure and not revealed;

preserving an assembly plan that includes the ability to generate the results-data but not the source-data, and not identify the source;

wherein at least one process module implemented by using a process-container comprising one or more processes, each process comprising a domain specific atomic process, the process module comprising an algorithm that is for:

solving a specific problem and

producing a desired set of results data.

2 . The method of claim 1 , further comprising:

receiving a request for results-data;

instantiating the configuration by instantiating at least one identified module;

configuring at least one module of the specified modules and/or submodules;

storing the configuration as an assembly plan, wherein the stored assembly plan when implemented is effective to generate desired results-data.

3 . The method of claim 1 , further comprising:

executing a process of a process module of the configuration;

generating requested results-data;

delivering the requested results-data.

4 . The method of claim 1 ,

wherein a requestor making the request for results-data has need for results, data and/or processing from a data-source;

the requestor comprising a results-participant and/or device;

the requestor and the data-source comprising separate entities;

the step of identifying based upon determined requirements of the requestor and one or more source entities.

5 . The method of claim 1 ,

wherein the configuration comprises a set of parameters used to instantiate a system comprising the isolated environments, process modules, data modules, and submodules.

6 . The method of claim 1 , further comprising:

receiving a set of parameters via an interface, the parameters for:

instantiating a system implementation, and

generating an iteration of the system implementation for processing data iteratively thereby generating iterative results-data.

7 . The method of claim 1 , further comprising performing iterative improvements on the recipe to obtain different results.

8 . The method of claim 1 , further comprising:

receiving a request for results-data;

determining a configuration comprising one or more instantiated data modules appropriate to respond to the request for results-data;

instantiating the data module;

receiving source-data into the data module,

executing a configured and instantiated process upon the requested data,

applying appropriate policies to the derived results-data, and

checking the compliance of the results-data with a set of parameters that were predetermined by a plurality of separate entities having a need to transact.

9 . The method of claim 1 , further comprising:

requesting approval for release of results-data from a data-source,

wherein data, processing, and/or results provided and/or made available to the requestor may include minimal processing or alteration such that the output or results-data is substantially similar to the source-data.

10 . The method of claim 1 , wherein at least one of: output, data, processing, and/or results comprises significantly modified or processed data and/or results.

11 . The method of claim 1 , further comprising:

performing multiple iterations of all or a portion of the steps.

12 . The method of claim 1 , the method returning to any previous step of the method and iterating from that step.

13 . The method of claim 1 , further comprising:

releasing the desired results-data to a source entity and/or a requestor entity.

14 . The method of claim 1 , the process module comprising a process for: aggregating multiple data records describing characteristics or behaviors of specific subjects,

merging into a database and

organizing the data records according to broad groups based on similarities across multiple data fields,

allowing the identification of common behaviors or characteristics of these groups.

15 . The method of claim 1 , further comprising:

generating a database of a set of preferences in a region according to demographic groups such as age and income level,

removing all personally identifiable information and

not sharing any original source data.

16 . The method of claim 1 , the process module comprising a process for:

finding a correlation between a small set of data records that partially describe a specific individual, and a larger database that contains more comprehensive information about the characteristics and behaviors of aggregated groups of people,

allowing the extrapolated prediction of characteristics and behaviors of the individual based upon the correlated group.

17 . The method of claim 1 , the process module comprising a process for:

taking a specific desired data outcome, aggregating data records from multiple disparate databases containing uncorrelated data records, and applying an optimization algorithm for determining which data records when combined in the algorithm most closely match the desired data outcome.

18 . The method of claim 1 , further comprising: the determining steps performed by a machine by using a set of input parameters.

19 . A computer readable medium with instructions thereon, which when executed, the instructions perform the steps of: identifying a configuration for responding to a request for results-data, the identifying comprising:

determining a requisite number of isolated environments to respond to the request;

determining a number of necessary process modules comprising one or more applicable processes;

determining the need for an interceptor, the interceptor for providing isolation for one or more of the process modules;

determining an appropriate number of data modules and/or submodules, the modules and submodules for implementing the configuration for responding to the request; the configuration for:

receiving acknowledged receipt of the requested data, processing, and/or results;

disassembling the instantiations such that source data and/or source entity is secure and not revealed;

preserving an assembly plan that includes the ability to generate the results-data but not the source-data, and not identify the source;

wherein at least one process module implemented by using a process-container comprising one or more processes, each process comprising a domain specific atomic process, the process module comprising an algorithm that is for:

solving a specific problem and

producing a desired set of results data.

20 . A system comprising a configuration for responding to a request for results-data, the configuration comprising:

a requisite number of isolated environments to respond to the request;

a number of necessary process modules comprising one or more applicable processes;

an interceptor, the interceptor for providing isolation for one or more of the process modules;

an appropriate number of data modules and/or submodules, the modules and submodules for implementing the configuration for responding to the request; the configuration for receiving acknowledged receipt of the requested data, processing, and/or results;

the system further comprising an assembly plan that includes the ability to generate the results-data but not the source-data, and not identify the source;

wherein the instantiations are configured for disassembly such that source data and/or source entity is secure and not revealed;

wherein at least one process module implemented by using a process-container comprising one or more processes, each process comprising a domain specific atomic process, the process module comprising an algorithm that is for:

solving a specific problem and

producing a desired set of results data.

Continuity (4)

References Cited (14)