Craig D Allen

US Patent:

8200573, Jun 12, 2012

Filed:

Jun 5, 2008

Appl. No.:

12/133842

Inventors:

A. John Fineout - Coppell TX, US
Craig M. Allen - Keller TX, US
Thomas R. Brower - Dallas TX, US

Assignee:

Skopos Financial Group, LLC - New York NY

International Classification:

G06Q 40/00

US Classification:

705 38, 705 1, 705 7, 705 28, 705 31, 705 35, 705 36 R, 705 37, 705 39, 705 40, 705400, 710 12, 712233

Abstract:

A system for optimization of variables is provided. The system includes a buyer finance system for receiving asset data and buyer finance data. A seller variable system receives the asset data and the buyer finance data and applies a seller variable distribution to generate seller transaction state data. A finance variable system receives the asset data and the buyer finance data and applies a finance variable distribution to generate finance transaction state data. A variable optimization system receives the seller transaction state data and the finance transaction state data and generates transaction approval data.

US Patent:

8577769, Nov 5, 2013

Filed:

Jun 12, 2012

Appl. No.:

13/494935

Inventors:

A. John Fineout - Coppell TX, US
Craig M. Allen - Keller TX, US
Thomas R. Brower - Dallas TX, US

Assignee:

Skopos Financial Group, LLC - New York NY

International Classification:

G06Q 40/00

US Classification:

705 35, 705 1, 705 7, 705 28, 705 36 R, 705 37, 705 38, 705 39, 705 40, 705400, 710 12, 712233

Abstract:

A system for optimization of variables is provided. The system includes a buyer finance system for receiving asset data and buyer finance data. A seller variable system receives the asset data and the buyer finance data and applies a seller variable distribution to generate seller transaction state data. A finance variable system receives the asset data and the buyer finance data and applies a finance variable distribution to generate finance transaction state data. A variable optimization system receives the seller transaction state data and the finance transaction state data and generates transaction approval data.

US Patent:

20200177579, Jun 4, 2020

Filed:

Dec 3, 2018

Appl. No.:

16/208366

Inventors:

- San Francisco CA, US
Craig M. Allen - Keller TX, US

International Classification:

H04L 29/06
G06F 21/10
G06F 21/64
H04L 9/32
H04L 9/06
G06Q 40/04

Abstract:

Encrypted blockchain object transfers using smart contracts are provided herein. The present disclosure includes mechanisms for generating compliance certificates and their combined use with smart contracts in order to govern the transfer of ownership rights in objects between parties. Various data are encrypted and stored in a public ledger blockchain. Decryption keys are automatically released based on verified possession of compliance certificates in accordance with a smart contract. Possession of decryption keys allows for decryption and transfer of ownership rights.

US Patent:

20190066020, Feb 28, 2019

Filed:

Oct 31, 2018

Appl. No.:

16/177217

Inventors:

- San Francisco CA, US
Craig M. Allen - Keller TX, US

International Classification:

G06Q 10/06
G06F 17/30
G06Q 50/00

Abstract:

Machine learning and adaptive multi-variable assessment systems and methods are provided herein. Methods include obtaining independent variables of entrepreneur data across a plurality of network modalities, performing, by the server, a dynamic measurement of the independent variables against one or more dependent variables to predict performance of the entrepreneur, engaging in a business opportunity with the entrepreneur based on the dynamic measurement, collecting additional entrepreneur data during the business opportunity and recalculating the dynamic measurement as the additional entrepreneur data is received.

US Patent:

20180060781, Mar 1, 2018

Filed:

Oct 18, 2017

Appl. No.:

15/787666

Inventors:

- San Francisco CA, US
Craig M. Allen - Keller TX, US
Catherine Nomura - Mill Valley CA, US

International Classification:

G06Q 10/06
G06F 17/30
G06Q 50/00

Abstract:

Multi-variable assessment systems and methods that evaluate and predict entrepreneurial behavior are provided herein. Methods include obtaining entrepreneur data related to personal skills data, business history data, and social network data for the entrepreneur across a plurality of network modalities, the plurality of network modalities including social networks, phone records, and message records, determining business event information for business events identified between the entrepreneur and contacts of the entrepreneur found in the entrepreneur data, and performing a dynamic measurement of engagement between the entrepreneur and the contacts by looking for contacts between the entrepreneur and the contacts that cross the plurality of network modalities, wherein the dynamic measurement includes an entrepreneur score for the entrepreneur

US Patent:

20150373020, Dec 24, 2015

Filed:

Aug 25, 2015

Appl. No.:

14/835671

Inventors:

- San Francisco CA, US
Craig M. Allen - Keller TX, US
Catherine Nomura - Mill Valley CA, US

International Classification:

H04L 29/06
H04L 9/32
H04W 12/06

Abstract:

Secure communications methods for use with entrepreneurial prediction systems and methods are provided herein. An example method can include a two factor authentication of both a communications channel used by the entrepreneur (either by device or message attributes) and an identification of an identity of the entrepreneur from biometric parameters. This allows for secure communication with an entrepreneur when the entrepreneur is communicating from a geographical location of low trust, such as where device or identity theft is common.

US Patent:

20150278742, Oct 1, 2015

Filed:

Mar 27, 2015

Appl. No.:

14/671868

Inventors:

- San Francisco CA, US
Craig M. Allen - Keller TX, US
Catherine Nomura - Mill Valley CA, US

International Classification:

G06Q 10/06
G06F 17/30

Abstract:

Multi-variable assessment systems and methods that evaluate and predict entrepreneurial behavior are provided herein. Methods include obtaining entrepreneur data related to personal skills data, business history data, and social network data for the entrepreneur across a plurality of network modalities, the plurality of network modalities including social networks, phone records, and message records, determining business event information for business events identified between the entrepreneur and contacts of the entrepreneur found in the entrepreneur data, and performing a dynamic measurement of engagement between the entrepreneur and the contacts by looking for contacts between the entrepreneur and the contacts that cross the plurality of network modalities, wherein the dynamic measurement includes an entrepreneur score for the entrepreneur