Item 2.01 Completion of Acquisition or Disposition of Assets



                              Form 10 Information



For purposes of this Current Report on Form 8-K, the Company is providing certain information that it would be required to disclose if it were a registrant filing a general form for registration of securities on Form 10 under the Exchange Act. As a result of the acquisition of the IT Assets of FatBrain (as described more fully in Item 1.01, above), LZG International has acquired marketable assets and initiated operations related to the development and sale of the FatBrain technology.



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                            Description of Business


The Company will market the FatBrain technology directly to customers and/or through reselling strategic partners. We have initiated the commercialization of the technology and we have spoken to several potential clients.

FatBrain's AI and machine learning (ML) software is differentiated across three key areas of automation:

1. Data integration enabling formation and exploitation of a unified asset unique


    to each enterprise featuring learned business drivers and exploitable signals,
    binding siloed text, spreadsheets, PDF's, databases, emails, alternative
    econometric, health and regional data into a unified metric space of entities,
    events, relationships, consequences and decisions.



2. Model consolidation across scores of uncoordinated models, boosting incumbent


    system performance with improved effectiveness and efficiency, featuring
    continuous unit level scoring to distinguish good, bad or worse outcomes with
    back testing, featuring receiver operating characteristics ("ROC") and area
    under the curve ("AUC") performance benchmarking (collectively, "ROC-AUC
    curve") for dynamic improvement outpacing static thresholds or legacy rules.



3. Coached decision-making featuring "FatBrain Optimal" outcomes war-gamed to


    attain personalized "WAZE-like" awareness tuned to peer-attained goals,
    powered by recommendations with quantified, anticipated trade-offs and
    automated active and transfer learning, including human expertise in the loop.



The FatBrain technology comprises services to configure, test and deploy FatBrain solutions on client servers, with flexibility to work in the cloud, on client premise or in hybrid mode. It allows data integration with client systems to establish logical, trusted, programmatic connectivity and provides secure access protocols between the FatBrain technology and the client systems. The Company provides training and support to the client's staff starting with a two-week training session for the client's staff along with product support via phone, web and onsite.

On November 15, 2021, the Company announced the launch of LZG International's FatBrain product "Angelina," a foreign exchange ("FX") service, as part of its coached business wellness services ("BWS") to tackle discriminatory pricing in the $6.6 trillion-dollar daily foreign exchange market. Angelina FX realizes a multi-year strategic effort co-developed with global leaders to manage FX risk and provide international payment solutions. Nearly nine thousand businesses were invited through traditional and nontraditional marketing efforts to take advantage of the inaugural service offering.

Principal Products and Services

The FatBrain technology offers software solutions packaged within the modern AI architecture. The solutions comprise FatBrain technology applications, Core PaaS (Platform as a Service), and public cloud (e.g., AWS, Azure, IBM, Google) or on premise private (Vmware, Nvidia) orchestration using microservices portability. Our Core PaaS includes capability to dynamically integrate with customer applications. The FatBrain software framework features data engineering, encoding, anonymizing, disambiguation and de-biasing modules, working with all data formats, including text, web, PDF, transaction, time series, interconnection, econometric, video and behavior data. The framework uses representational learning, continuous scoring, and pre-trained models featuring reinforcement learning to identify optimal policies for simulated outcomes in multi-level, multi-agent settings. The competitive advantage of our framework delivers continuously improved effectiveness and efficiency controls via a higher ROC-AUC curve, with explainability and auditability at a lower cost, and in a fraction of the time compared with traditional analytics offerings.



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Major Suppliers


The Company will use commodity public cloud infrastructure and microservices platforms ("IaaS") without material dependency on any one cloud provider, such as AWS, Azure, Google Cloud, IBM Cloud, or other cloud providers, and a variety of open-source software ("OSS").





Marketing


The Company will market its products directly and through distribution with value-added resellers and strategic partners. Direct marketing efforts include internet and email campaigns, tele-sales and virtual and in person follow ups. We anticipate having ten sales people able to work from anywhere. Distribution efforts include relationships with global and regional systems integrators ("SIs"), value added resellers ("VARs"), independent software vendors ("ISVs"), vertical software application developers and combinations of the above.





Product Development


FatBrain research and development expenditures have roughly averaged $1.25 million per year each of the last three years. The Company anticipates doubling the expenditures to support projected growth.

Patents, Brands and Trademarks

The Company will continue to use the FatBrain brand and logo as well as the Outcomes™ engine brand to represent the quality and source of its products and services and, reflecting the ownership and usage as trademarks of the terms "FatBrain," its fanciful "FBAI" puzzle logo and the term "Outcomes." We use themed product names as brands for our apps, solutions and services in the "Service Name (solution area) - market comparable" format (e.g., Service Name = 'Aisling'; solution area = 'global private placement bond ratings'; market comparable = 'S&P Global, Moody's, Fitch et al., for private placement products"), as follows:

a. Aisling (global private placement bond ratings) - market is S&P Global,


    Moody's, Fitch et al., for the private placement products.



b. Andromeda (social media signal ratings) - market is Sprout Social, et al.

c. Angelina (foreign exchange FX intelligence) - holds 50% of the equity in


    Angelina GL and related distributions under a Master Services Agreement, dated
    May 7, 2021, between FatBrain LLC and Tempus, Inc, a wholly-owned business of
    Monex SAB de CV.



d. Alice (document intelligence) - market is UPath, et al.

e. Bella (business wellness) - market is over 400 SaaS data repositories, e.g.,


    QBO, Shopify, Salesforce.



f. Cagney (dynamic risk IQ) - market is compliance Oracle, Nice Actimize,


    Feezdai, Refinitiv, et al.



g. Celeste (thin-file behavior IQ) - market is anyone without traditional credit


    scores.



h. Clair (climate wellness) - market is anyone interested in ESG integrated


    outcomes scoring.



i. Covid Risk Live (digital health) - market is consumer facing C-19 dynamic risk


    rating by specified zip code.



j. Debbie (PEM forecasting) - market is HIS Markit, et al.

k. Ginger (yield optimization) - market is anyone interested in commodities input

driven yield growth, based on peer-attained and contributory data dynamics.




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a. Gaby (customer intent) - market is Contact Center as a service software and


    services, e.g., NICE et al.



b. Goldie (trading surveillance) - market is dark pool trading by e.g., Goldman


    Sachs, JP Morgan, Citi, Morgan Stanley, et al.



c. Inga (insurance underwriting) - market is iPipeline, GuideWire, and similar


    InsureTech customers.



d. Jade (crypto risk IQ) - market is risk management for Coinbase, BlockFi et al.

e. Ness (AML, fraud) - market is all regulated financial institutions.

f. Fiona (trading forecast) - market is day trader and family office trading


    operations.



g. Flora (trading dynamics) - market is day trader and family office trading


    operations.



h. Frankie (trading scenarios) - market is day trader and family office trading


    operations.



i. Frida (risk concentration) - market is day trader and family office trading


    operations.



j. Rosie (data engineering) - market is anyone with data silos.

k. Ruby (MTF engine maintenance) - market is internet-of-things ("IOT") and


    physical equipment (e.g., compressor, air conditioner) scheduled maintenance
    to mean-time-to-failure ("MTF") transformation.



l. Shahrazad (unrest risk ratings) - market is governments and institutions


    needing early warning systems to detect social unrest in physical world as
    reflected in viral communications signals.



m. Stella (Chinese bond ratings) -- market is S&P Global, Moody's, Fitch et al.


    for the Chinese bond ratings products, including State Owned Enterprises and
    hidden default tail risk.




Major Competitors



LZG International will focus our efforts on advancing machine intelligence and learning ("AI/ML") for improved enterprise decision-making. The competition to address this market span scores of siloed special purpose SaaS applications (e.g., Salesforce for CRM, Shopify for ecommerce, HubSpot for marketing, QuickBooks for financial reporting, etc.), which is difficult and expensive to integrate into a unified framework. Similarly, there are service providers using human capital at industrial scale to achieve greater productivity, e.g., Consero for finance as a service (FaaS), in a specific market, but still siloed. There are many OSS tools for variety of automation tasks such as for natural language processing and statistical machine learning (e.g., DataRobot, Databricks, H20), all requiring expensive, scarce do-it-yourself and data scientist resources. Consulting firms like McKinsey, Bain, Deloitte have been able to engage on specific AI/ML projects but lack platform and operational scalability, featuring eight-figure custom time and materials project risk with ad hoc approaches. To date the most successful AI/ML decision making services have only been available to large government institutions served by Palantir Technologies Inc. (PLTR) and Fortune 500 companies served by C3ai, Inc (C3AI). In contrast, FatBrain's unprecedented speed and subscription delivery model enables enterprises of up to 500 people to take advantage of its easy to use and simple to deploy solution eco-system turbo-charged by AI/ML.





                                  Risk Factors


An investment in the Company's common stock involves a high degree of risk. In determining whether to purchase the Company's common stock, an investor should carefully consider all of the material risks described below, together with the other information contained in this report. An investor should only purchase the Company's securities if he or she can afford to suffer the loss of his or her entire investment.





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Risks Related to Our Business

We have a limited operating history and a history of operating losses, and we may not be able to achieve or sustain profitability.

Our limited operating history may make it difficult to evaluate our current business and our prospects. We have encountered, and will continue to encounter, risks and difficulties frequently experienced by growing companies in rapidly developing and changing industries, including challenges in forecasting accuracy, determining appropriate investments of our limited resources, gaining market acceptance of our FatBrain technology, managing a complex regulatory landscape and developing new product candidates.

We may not be able to fully implement or execute our business strategy or realize, in whole or in part within our expected time frames, the anticipated benefits of our growth strategies. You should consider our business and prospects in light of the risks and difficulties we face as an early-stage company focused on developing and marketing our Fatbrain technology products.

In addition, we may be unable to continue as a going concern. We incurred a net loss of approximately $29,842 for the year ended May 31, 2021 and $27,771 for the year ended May 31, 2020 and a cumulative net loss of approximately $289,875 from May 22, 2000 (our date of inception) to May 31, 2021.

Our success is dependent on the FatBrain technology.

We intend to initially devote all of our time, effort and resources on the commercialization of our FatBrain technology. If we are unsuccessful in such efforts, we will have spent all or a substantial portion of our available funds on an unsuccessful product. Moreover, other factors that could adversely affect ultimate success of our FatBrain technology includes pricing, demand, market acceptance, regulatory compliance and approval.

Our failure to effectively manage growth could impair our business.

We intend to increase our personnel and other costs as we develop our FatBrain technology marketing plan. Such changes may put a strain on our administrative and operational resources, and our funding requirements. Our ability to effectively manage growth will require us to successfully create and expand operational and management systems and hire, attract, train, manage, and retain qualified personnel. There can be no assurance that we will be able to do so, particularly if we are unable to obtain sufficient financing. If we are unable to appropriately manage growth, our business, prospects, financial condition, and results of operations could be materially and adversely affected.

We operate in a very competitive industry and will compete against competitors who have greater resources than us.

FatBrain's AI and machine learning (ML) software is in an intensely competitive market, subject to rapid change and highly sensitive to the introduction of new products. We believe the FatBrain technology will compete directly with a number of well-established AI products. We believe our primary competitors will be Palantir Technologies Inc. (PLTR), who services government institutions, and C3ai. Inc (C3AI), who serves Fortune 500 companies. Both are publicly traded companies. . . .

Item 9.01 Financial Statements and Exhibits

(a) Financial Statements of LZG International

In accordance with Item 9.01(a), LZG International's unaudited financial information for the three-month period ended August 31, 2021, filed with the SEC on October 13, 2021, and the audited financial information for the years ended May 31, 2021 and 2020, filed with the SEC on August 26, 2021, are filed as Exhibit 99.1 and 99.2 to this Current Report on Form 8-K.

(b) Pro Forma Financial Information.






None.


(c) Shell Company Transactions.

Reference is made to Items 9.01(a) and 9.01(b) and the exhibits referred to therein which are incorporated herein by reference.





 (d) Exhibits.



The following exhibits are either filed as a part hereof or are incorporated by reference. Exhibit numbers correspond to the numbering system in Item 601 of Regulation S-K.





 No.      Description
3.1      Articles of Incorporation of LazyGrocer.Com, Inc., dated May 17, 2000
         (Incorporated by reference to exhibit 3.1 to Form 10, filed May 26,
         2010)
3.1.2    Amendment to Articles of Incorporation of LazyGrocer.Com, Inc., dated
         August 28, 2009 (Incorporated by reference to exhibit 3.1.2 to Form 10,
         filed May 26, 2010)
3.2      Bylaws of LZG International, Inc., effective January 28, 2010
         (Incorporated by reference to exhibit 3.2 to Form 10, filed May 26,
         2010)
4.6      Description of Securities (Incorporated by reference to exhibit 4.6 to
         Form 10-K, filed August 29, 2019)
10.1     IT Asset Contribution Agreement, dated October 23, 2021 (Incorporated by
         reference to exhibit 10.1 to Form 8-K, filed October 28, 2021)
10.2     Subscription Agreement Form (Incorporated by reference to exhibit 10.1
         to Form 8-K, filed November 26, 2021)
23.1     Consent of Pinnacle Accountancy Group of Utah
99.1     LZG International's unaudited financial statements for the quarter ended
         August 31, 2021
99.2     LZG International's audited financial statements for the years ended May
         31, 2021 and 2020


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