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Synthetic Intelligence (2004)
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Synthetic Intelligence (2004)

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Synthetic Intelligence (2004) Synthetic Intelligence (2004) Presentation Transcript

  • The Next Generation of Artificial Intelligence is…Synthetic Intelligence…Synthetic Intelligence, Inc.
  • Artificial Intelligence PlatformBest of breedWorld classProprietary algorithms
  • First Application Outsourcing automation of key assessment & selection services–Next generation “Offshoring”
  • Pain Knowledge Workers are expensive Trend has been to “offshore” everything from software development to telephone based customer serviceBut this offers only an incremental cost improvement…
  • SolutionWith Synthetic Intelligence, SI replacesthe human with not just a machine, buta “synthetic human” intelligenceThis offers an order of magnitudeimprovement in cost speed and accuracy
  • Initial Markets/Roll-out 3 Phase market vertical roll-out 1st Market Vertical– legal industry 2nd Market Vertical– recruiting industry 3rd Market Vertical– VC industry
  • Case Study Venture Capital-- Implementing SI achieved the following: Shortened time to decision by 10,000% Order of magnitude reduction of # of general partners required for $1B fund Probability of success increased from 1 in 10 to 2 in 10, a 100% increase Same math can be applied to the legal and recruiting community…
  • Underlying TechnologyCombination of best of breed in Neural networks Artificial intelligence Genetic algorithm
  • 2nd ApplicationBiotechnology drug discovery Pain: hard to discover/validate drug targets using conventional methods Solution: SI solves this by making decisions on which targets to run with in all three stages of product development, pre-clinical & clinical drug development
  • The ProductBiotech drug discovery Based on same platform technology Targets will be identified Once match is made, will file IND Then go to clinical trials in less than 6 months
  • Current IND Product Candidates C3POC3PO is a bi-specific monoclonal antibody targeting a tumor specificantigen (Galactica) which is over-expressed on adenocarcinomas such aspancreatic, ovarian and colon cancers.C3PO is constructed of a proprietary linker joining two antibodies; onebinding to the R2D2 receptor on immune T cells (cytolytic effector) and theother to Galactica on cancer cells.Once bound to Galactica on the cancer cells, the proprietary linker facilitatesthe killing of primary and metastasized tumor cells by the T cellC3PO has been shown to be effective in vivo in reducing growth incolorectal tumors with specificity to those tumors with Galactica positiveantigens
  • TeamCEO– “X” (will disclose name uponfunding) currently leader of Fortune 10company, willing to leave the role forthis start-up once we receive fundingVP Sales– “Y”, 30 years of salesexperience, very good.Rest of Org Chart-- TBD
  • Strategic AdvisoryVince Fulmer Board MIT Enterprise Forum Chair Emeritus  entrepreneurial expert  author of the phrase, “We are students and practitioners of entrepreneurship. We are specialists in promoting the field of technology entrepreneurship”  Weekend warrior and winner of MIT EF body builder Competition, 2004Trish Fleming Executive Director, MIT Enterprise Forum  Glad-handing networker extraordinaire  Fashion Diva, and E! Entertainment fashion commentator replacement for Joan Rivers
  • SI Revenue Projections 2004 % 2005 % 2006 % 2007 % Gross Sales $ 2,860,500 100.00% $ 12,763,750 100.00% $ 29,293,500 100.00% $ 56,118,500 100.00% Cost/ Goods Sold (COGS) 679,050 23.74% 1,821,150 14.27% 2,898,450 9.89% 3,214,350 5.73% Gross Profit $ 2,181,450 76.26% $ 10,942,600 85.73% $ 26,395,050 90.11% $ 52,904,150 94.27% Operating Expenses Salary (Office & Overhead) $ 563,000 19.68% $ 1,099,000 8.61% $ 1,647,000 5.62% $ 1,839,000 3.28% Payroll (taxes etc.) 197,050 6.89% 384,650 3.01% 576,450 1.97% 643,650 1.15% Outside Services 34,000 1.19% 300,000 2.35% 750,000 2.56% 350,000 0.62% Supplies (off and operation) 17,000 0.59% 150,000 1.18% 400,000 1.37% 600,000 1.07% Repairs/ Maintenance 11,000 0.38% 70,000 0.55% 100,000 0.34% 300,000 0.53% Advertising 31,000 1.08% 100,000 0.78% 150,000 0.51% 200,000 0.36% Car, Delivery and Travel 50,000 1.75% 100,000 0.78% 200,000 0.68% 400,000 0.71% Accounting and Legal 46,000 1.61% 100,000 0.78% 100,000 0.34% 250,000 0.45% Rent 70,000 2.45% 300,000 2.35% 300,000 1.02% 300,000 0.53% Telephone 14,750 0.52% 10,000 0.08% 50,000 0.17% 100,000 0.18% Utilities 12,700 0.44% 30,000 0.24% 40,000 0.14% 60,000 0.11% Insurance 57,500 2.01% 100,000 0.78% 200,000 0.68% 250,000 0.45% Misc. & Contingency 37,000 1.29% 200,000 1.57% 200,000 0.68% 300,000 0.53% Investor Exit Option - 0.00% 3,575,000 28.01% - 0.00% - 0.00% Acquisition(s) - 0.00% - 0.00% - 0.00% - 0.00% Eqpt Lease & Netw / Com 135,000 4.72% 250,000 1.96% 250,000 0.85% 750,000 1.34% (Com Pool + Reserve) (15%) 429,075 15.00% 1,914,563 15.00% 4,394,025 15.00% 8,417,775 15.00% Total Expenses $ 1,705,075 59.61% $ 8,683,213 68.03% $ 9,357,475 31.94% $ 14,760,425 26.30% Net Profit Before Tax 476,375 2,259,388 17,037,575 38,143,725 Income Taxes 157,204 745,598 5,622,400 12,587,429 Net Profit After Tax 319,171 1,513,790 11,415,175 25,556,296 Owner Draw/ Dividends 250,000 500,000 5,000,000 15,000,000 Adj. to Retained Earnings $ 69,171 $1,013,790 $ 6,415,175 $ 10,556,296
  • FundingCurrently seeking 15M Use of funds  Accrued wages (particularly founders)  Infrastructure (office space, furniture, telecom)  US  Europe  Asia  Bali
  • Funding (continued)Funding Alternatives2.5M Accrued wages (particularly founders) Infrastructure (office space, furniture, telecom) US Bali Or, $250,000 Accrued wages (1 founder) Infrastructure (office space, furniture, telecom)  Bali
  • Exit Lifestyle business If necessary, conversion to 501C3 “.org”Contact: beachbum@bali.org