IP Library › Granted Patent US 12,190,386
Granted Patent B1
US 12,190,386 · App. 18/898,138 · Granted Jan 7, 2025

Real asset fractionalization algorithm

Inventors: Damien Patton (Plano, TX); Christian Gratton (Eaton Rapids, MI)
Assignee: TRETE Inc.
G06Q40/06
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Quick Facts
Patent No.
US 12,190,386
App. No.
18/898,138
Granted
Jan 7, 2025
Kind
B1
Abstract

In certain aspects of the disclosure, a computer-implemented method includes receiving information regarding characteristics of an asset. The method includes tokenizing at least one digital asset representing fractional shares in the asset. The method includes determining the initial share price. The method includes updating a capitalization table based on the number shares and share price. The method includes performing a transaction based on share price. Systems and machine-readable media are also provided.

Claims (72)

1. An Alternative Trading System (ATS) computer-implemented method comprising:

electronically ingesting capitalization table data representing a capitalization table, the capitalization table data defining capitalization of an asset and at least including fields indicating: (1) a plurality of investors in the asset and (2) a fiat currency investment each of the plurality of investors has invested in the asset;

triggering an asset price calculation;

subsequent to triggering the asset price calculation:

extracting fields relevant to digitally re-formulating fractional interests in the asset, including the plurality of investors and corresponding fiat currency investments, from the electronically ingested capitalization table data; and

accessing a continuous learning model trained on capitalization table data and a corresponding identified price share denominator from at least one prior digital re-formulation of fractional interests;

utilizing the continuous learning model automatically:

suggesting a guardrail share pricing range based on a plurality of pricing factors and defining a minimum asset share price and a maximum asset share price; and

identifying a denominator within the guardrail share pricing range representing a share price for shares in the asset to be used when digitally re-formulating fractional interests in the asset, including:

accessing an asset owner preference for a specified share pricing priority from among a plurality of different share pricing priorities; and

identifying the denominator in accordance with the specified share pricing priority, including:

performing a first iteration of calculating potential investor loses in view of a potential denominator representing a possible share price, including per investor in the plurality of investors:

calculating investor loss based on the fiat currency investment of the investor and the possible share price;

identifying an outlier investor subset from among the plurality of investors as outliers based on the loss for each investor in the outlier investor subset exceeding a specified magnitude;

removing the outlier investor subset from consideration in digitally re-formulating fractional interests in the asset;

performing a second iteration of calculating potential investor loses in view of the potential denominator representing the possible share price subsequent to removing the outlier investor subset from consideration; and

identifying the potential denominator as the denominator;

automatically deepening the guardrail share pricing suggestion capabilities of the continuous learning model based on the electronically ingested capitalization table data and the identified denominator;

fractionalizing the capitalization of the asset into a plurality of tokens utilizing the denominator, each token representing a digital share of the asset and having a fiat currency value of the share price;

per each investor included in the plurality of investors:

assigning a number of tokens, from among the plurality of tokens, to the investor corresponding to the investor's fiat currency investment in the asset ingested in the capitalization table data; and

storing the assigned number of tokens in a corresponding ATS exchange managed digital wallet; and

creating a new digital capitalization table indicating each investor's assigned number of shares of the asset and the share price.

2. The method of claim 1 , wherein utilizing the continuous learning model automatically suggesting a guardrail share pricing range based on a plurality of pricing factors comprising utilizing the continuous learning model automatically suggesting a guardrail pricing range based on other assets of similar asset types and of similar asset classes.

3. The method of claim 1 , wherein utilizing the continuous learning model automatically suggesting a guardrail share pricing range based on a plurality of pricing factors comprises utilizing the continuous learning model automatically suggesting a guardrail share pricing range based on at least one of: market trends, offers of other assets similar to the asset, past assets listed by an owner of the asset on the ATS exchange, or timing.

4. The method of claim 1 , wherein accessing an asset owner preference for a specified share pricing priority from among a plurality of different share pricing priorities comprises accessing a best price after removing outliers priority.

5. The method of claim 1 , wherein electronically ingesting capitalization table data representing a capitalization table comprises ingesting capitalization data defining capitalization of an asset, the asset selected from among: gold, real estate, oil, a franchise investment, uranium, timber, private credit, or private debt.

6. The method of claim 1 , wherein electronically ingesting capitalization table data representing a capitalization table comprises ingesting the capitalization table data from another system via an API.

7. The method of claim 6 , further comprising:

mapping the capitalization data into an ATS exchange usable format; and

returning the plurality of tokens via the API to the other system in a format desired by a recipient.

8. The method of claim 1 , further comprising performing a buy/sell transaction for a portion of the asset at the ATS exchange based on the share price, including:

electronically transferring at least one token, from among the plurality of tokens, into an ATS exchange managed digital wallet of a new investor in the asset; and

updating the capitalization table indicating the new investor has invested in real asset.

9. The method of claim 8 , wherein performing the buy/sell transaction comprises transferring fiat currency at least in an amount of the share price out of an ATS exchange managed currency wallet of the new investor.

10. An Alternative Trading System (ATS) system comprising:

one or more memories comprising instructions; and

one or more processors configured to execute the instructions, which, when executed, cause the one or more processors to:

electronically ingest capitalization table data representing a capitalization table, the capitalization table data defining capitalization of the asset and at least including fields indicating: (1) a plurality of investors in the asset and (2) a fiat currency investment each of the plurality of investors has invested in the asset;

trigger an asset price calculation;

subsequent to triggering the asset price calculation:

extract fields relevant to digitally re-formulating fractional interests in the asset, including the plurality of investors and corresponding fiat currency investments, from the capitalization table data; and

access a continuous learning model trained on capitalization table data and a corresponding identified price share denominator from at least one prior digital re-formulation of fractional interests;

utilize the continuous learning model to automatically:

suggest a guardrail share pricing range based on a plurality of pricing factors and defining a minimum asset share price and a maximum asset share price; and

identify a denominator within the guardrail share pricing range representing a share price for shares in the asset to be used when digitally re-formulating fractional interests in the asset, including:

access an asset owner preference for a specified share pricing priority from among a plurality of different share pricing priorities; and

identify the denominator in accordance with the specified share pricing priority, including:

 perform a first iteration of calculating potential investor loses in view of a potential denominator representing a possible share price, including per investor in the plurality of investors:

 calculate investor loss based on the fiat currency investment of the investor and the possible share price;

 identify an outlier investor subset from among the plurality of investors as outliers based on the loss for each investor in the outlier investor subset exceeding a specified magnitude;

 remove the outlier investor subset from consideration in digitally re-formulating fractional interests in the asset;

 perform a second iteration of calculating potential investor loses in view of the potential denominator representing the possible share price subsequent to removing the outlier investor subset from consideration; and

 identify the potential denominator as the denominator;

automatically deepen the guardrail share pricing suggestion capabilities of the continuous learning model based on the ingested capitalization table data and identified denominator;

fractionalize the capitalization of the asset into a plurality of tokens, each token representing a digital share of the asset and having a fiat currency value of the share price;

per each investor included in the plurality of investors:

assign a number of tokens to the investor corresponding to the investor's fiat currency investment in the asset ingested in the capitalization table data; and

store the assigned number of tokens in a corresponding ATS exchange managed digital wallet; and

create a new digital capitalization table indicating each investor's assigned number of shares of the asset and the share price.

11. The system of claim 10 , wherein instructions, which, when executed, cause the one or more processors to utilize the continuous learning model automatically suggesting a guardrail share pricing range based on a plurality of pricing factors comprise instructions, which, when executed, cause the one or more processors to utilize the continuous learning model automatically suggesting a guardrail share pricing range based on other assets of similar asset types and classes.

12. The system of claim 10 , wherein instructions, which, when executed, cause the one or more processors to utilize the continuous learning model automatically suggesting a guardrail share pricing range based on a plurality of pricing factors comprise instructions, which, when executed, cause the one or more processors to utilizing the continuous learning model automatically suggesting a guardrail share pricing range based on two or more of: market trends, offers of other assets similar to the asset, past assets listed by an owner of the asset on the ATS exchange, or timing.

13. The system of claim 10 , wherein instructions, which, when executed, cause the one or more processors to access an asset owner preference for a specified share pricing priority from among a plurality of different share pricing priorities comprise instructions, which, when executed, cause the one or more processors to access a best price after removing outliers priority.

14. The system of claim 10 , wherein instructions, which, when executed, cause the one or more processors to electronically ingest capitalization table data representing a capitalization table comprise instructions, which, when executed, cause the one or more processors to ingest capitalization data defining capitalization of an asset, the asset selected from among: gold, real estate, oil, a franchise investment, uranium, timber, private credit, or private debt.

15. The system of claim 10 , wherein instructions, which, when executed, cause the one or more processors to electronically ingest capitalization table data representing a capitalization table comprise to instructions, which, when executed, cause the one or more processors to ingest the capitalization table data from another system via an API.

16. The system of claim 15 , further comprising instructions, which, when executed, cause the one or more processors to:

map the capitalization data into an ATS exchange usable format; and

return the plurality of tokens via the API to the other system in a format desired by a recipient.

17. The system of claim 10 , further comprising instructions, which, when executed, cause the one or more processors to perform a buy/sell transaction for a portion of the asset at the ATS exchange based on the share price, including:

electronically transfer at least one token, from among the plurality of tokens, into an ATS exchange managed digital wallet of a new investor in the asset; and

update the capitalization table indicating the new investor has invested in real asset.

18. The system of claim 17 , wherein instructions, which, when executed, cause the one or more processors to perform the buy/sell transaction comprise instructions, which, when executed, cause the one or more processors to electronically transfer fiat currency at least in an amount of the share price out of an ATS exchange managed currency wallet of the new investor.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 19, 2025
From: PATTON, DAMIEN; GRATTON, CHRISTIAN
To: TRETE INC.
Reel/Frame 070261/0596 →
Continuity (13)
Continuation 18616173 · Mar 26, 2024
Provisional Application 63615108 · Dec 27, 2023
Provisional Application 63615128 · Dec 27, 2023
Provisional Application 63615145 · Dec 27, 2023
Provisional Application 63615136 · Dec 27, 2023
Provisional Application 63600381 · Nov 17, 2023
Provisional Application 63596471 · Nov 6, 2023
Provisional Application 63515337 · Jul 24, 2023
Provisional Application 63509261 · Jun 20, 2023
Provisional Application 63509257 · Jun 20, 2023
Provisional Application 63509266 · Jun 20, 2023
Provisional Application 63509264 · Jun 20, 2023
Provisional Application 63454622 · Mar 24, 2023
References Cited (8)
US 8543486B2 · Donoho · 2013 [cited by examiner]
US 11875406B1 · Gordon, III · 2024 [cited by examiner]
US 20070027781A1 · Tripp · 2007 [cited by applicant]
US 20130117156A1 · Azmi · 2013 [cited by applicant]
US 20220366494A1 · Cella · 2022 [cited by applicant]
US 20240046360A1 · Negron · 2024 [cited by applicant]
Non-Final Office Action, U.S. Appl. No. 18/616,173, Notification Date May 24, 2024, 13 pages. [cited by applicant]
Notice of Allowance, U.S. Appl. No. 18/616,173, Mailing Date Aug. 28, 2024, 12 pages. [cited by applicant]
Cited By (1)
US 12,288,260