8-K: Lode-Star Mining Inc. Acquires AI Technology, Changes Name to FinTrade Sherpa, Inc.

Lode-Star Mining Inc. pivots to financial technology with the acquisition of AI assets, a licensing agreement, and a new name: FinTrade Sherpa, Inc.

Summary

• Lode-Star Mining Inc. has entered into an Asset Purchase Agreement to acquire intellectual property related to AI-driven financial technology.
• The company will issue 227,000,000 shares of common stock to the seller as consideration.
• Lode-Star Mining Inc. has changed its name to FinTrade Sherpa, Inc.
• The company plans to develop and commercialize FinTradeSherpa, an AI-powered financial technology platform.
• FinTrade Sherpa, Inc. entered into a License Agreement with Predictive Technology, LLC for exclusive worldwide license to use certain AI technology for $440,000, payable in monthly installments of $5,000.
• Upon full payment, the license converts to a perpetual, fully paid-up and irrevocable worldwide license.
• FinTrade Sherpa, Inc. entered into an agreement with Arcterix, SARL for software development activities, agreeing to pay $123,000 within five days of receiving at least $200,000 from an equity financing.
• Lock-Up and Leak-Out Agreements restrict the sale of common stock by the seller and designees for 180 days.
• After the initial lock-up, the seller and designees may transfer up to 20% of the shares every 60 days.
• The company settled $169,644.71 in debt with Lode-Star Gold Inc. by converting it into 1,357,158 shares of common stock.
• The company entered into an Indemnification Agreement with Mark Walmesley, its sole director and officer.
• FinTrade Sherpa, Inc. plans to offer a tiered subscription model for FinTradeSherpa, ranging from a freemium level to premium ultra plans.
• The company estimates development costs to progress FinTradeSherpa through beta stage and release candidate phase will be between approximately $245,000 and $425,000.
• The company intends to fund these costs through additional capital raises.
• Mark Walmesley is the sole executive officer and employee and has elected to forego compensation until the second quarter of 2025.
• The company's auditors have issued a going concern opinion.
• The company recorded a net loss of $62,940 for the year ended December 31, 2023, and has an accumulated deficit of $4,326,263.
• The company had no operating revenues during the nine months ended September 30, 2024 and 2023.
• The company recorded a net loss of $12,285 for the current quarter and has an accumulated deficit of $4,360,815.

Sentiment

Score: 4

Explanation: While the strategic shift to FinTech and AI is positive, the company's financial situation, going concern warning, and dependence on future capital raises create significant uncertainty.

Positives

• The company is pivoting to the high-growth FinTech sector with the acquisition of AI technology.
• The company secured an exclusive worldwide license to AI technology from Predictive Technology, LLC.
• The company has a software development agreement with Arcterix, SARL to further develop the FinTradeSherpa platform.
• The company has a tiered subscription model for FinTradeSherpa, ranging from a freemium level to premium ultra plans.

Negatives

• The company's auditors have issued a going concern opinion.
• The company recorded a net loss of $62,940 for the year ended December 31, 2023, and has an accumulated deficit of $4,326,263.
• The company had no operating revenues during the nine months ended September 30, 2024 and 2023.
• The company recorded a net loss of $12,285 for the current quarter and has an accumulated deficit of $4,360,815.
• The company is dependent on raising additional capital to fund its operations.

Risks

• The company has no operating history in software development or deployment.
• The company's success depends on the further development and success of FinTradeSherpa, which may require substantial additional capital.
• The company is subject to rapid technological change, which could render its products and services obsolete.
• FinTradeSherpa is based on unproven technology, which may lead to delays in the release of products or undetected errors.
• The use of AI in the company's operations and product offerings could result in reputational or competitive harm, legal or regulatory liability, and adverse impacts on its results of operations.
• Data privacy risks, such as cyber-attacks and security breaches, may have a material adverse effect on the company's business, financial condition, and results of operations.
• The company depends on key management personnel and attracting and retaining other qualified personnel.
• The company operates in very competitive industries and will have competitors with greater resources than it does.
• The company will need to raise additional funding, which may not be available on acceptable terms or at all.
• The company's operations and profitability could be adversely affected by government policies and regulations, particularly those affecting the artificial intelligence and financial services industries.
• The company is dependent on intellectual property obtained or licensed from third parties, and if it were to fail to comply with its obligations under its existing and any future intellectual property licenses with third parties, it could lose intellectual property rights that are important to its business and it may not be able to continue developing or commercializing its product candidates.
• If the company fails to effectively protect its technology or enforce its intellectual property rights, its business could be negatively impacted.
• The company may encounter unforeseen challenges that could require it to adjust or even abandon its current business plan.
• As a public company, the company incurs increased expenses.
• There is no active liquid trading market for the company's common stock.
• The company's common stock is subject to the penny stock rules of the Securities and Exchange Commission, which may make it more difficult for stockholders to sell the company's common stock.
• FINRA sales practice requirements may limit the ability to buy and sell the company's common stock, which could suppress the price of the company's shares.
• Compliance with the reporting requirements of federal securities laws can be time-consuming, complex, and costly.
• The company's investors' ownership in the company may be diluted in the future.
• The company's articles of incorporation grants its Board of Directors the power to designate and issue additional shares of common and/or preferred stock.
• The company does not intend to pay dividends; thus, there will be fewer ways in which you are able to earn on your investment.
• Rule 144 is not generally available to holders of the company's common stock, which makes it difficult to resell shares in the future.
• Future sales of the company's common stock could adversely affect its stock price and its ability to raise capital in the future, resulting in its inability to raise required funding for its operations.
• The company's principal stockholders and management own a significant percentage of its common stock and will be able to control matters subject to stockholder approval.
• The company does not currently have enough funds to carry out its entire plan of operations, so it intends to meet the balance of its cash requirements for the next 12 months through a combination of debt financing and equity financing through public offerings or private placements.
• There is no assurance that the company will be successful in completing any such financings.
• The company's auditors have issued a going concern opinion.
• The possibility and timing of revenue being generated from the company's business is uncertain.

Future Outlook

The company plans to further develop, market, and commercialize FinTradeSherpa, an AI-powered financial technology platform, and expects to fund additional development costs through future capital raises.

Management Comments

• Mark Walmesley has elected to forego compensation until the second quarter of 2025.

Industry Context

The company is pivoting from mining to the financial technology (FinTech) sector, which is experiencing rapid growth and innovation, particularly in the area of AI-driven analytics and trading platforms.

Comparison to Industry Standards

• The company's strategy of using AI for predictive analytics in financial markets aligns with trends seen at companies like Kensho (acquired by S&P Global), which uses machine learning to provide analytics to financial professionals.
• The tiered subscription model is similar to that used by companies like TrendSpider, which offers various subscription levels for its charting and analysis platform.
• The company's focus on scalability and global market coverage is comparable to companies like Refinitiv (acquired by LSEG), which provides financial data and analytics to a global client base.
• The company's plans to integrate community features are similar to those of TradingView, which has a large social network for traders and investors.

Related Party Transactions

• The company settled $169,644.71 in debt with Lode-Star Gold Inc., an entity controlled by the spouse of the company's sole director and officer, by converting it into 1,357,158 shares of common stock.
• All of the company's ongoing operations, since October 4, 2014, and prior to Closing, have been funded by monies advanced to it by LSG, its largest shareholder, and one other related party, LSGs primary shareholder.

Stakeholder Impact

• Shareholders: Potential for increased value if FinTradeSherpa is successful, but also risk of dilution from future capital raises.
• Employees: Potential for new job creation if the company grows, but also risk of job losses if the company fails.
• Customers: Potential for access to new and innovative financial technology.
• Suppliers: Potential for new business opportunities if the company grows.
• Creditors: Increased risk due to the company's going concern status.

Next Steps

• Further development of the FinTradeSherpa platform.
• Marketing and commercialization of FinTradeSherpa.
• Raising additional capital to fund operations.
• Potential increase in the number of authorized shares.

Key Dates

Keywords

FinTech, Artificial Intelligence, AI, Asset Purchase, License Agreement, FinTradeSherpa, Predictive Analytics, Equity Financing, Debt Conversion, Going Concern