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Security Type
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Non-Voting Equity
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Categories
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Other
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Min Investment
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$199
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Offering Date
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January 24, 2019
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Expected Close Date
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April 26, 2019
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Target Raise
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$10.00K-$1.07M
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Deal Notes
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Minimum Number of Shares Offered: 7,352
Maximum Number of Shares Offered: 78,676
Price per Share: $1.36
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Valuation
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$5,984,000
Company Description
Large companies have told us they need GURU to make their teams more multidisciplinary, rather than siloed individual specialists that can lead to unexpected problems & delays in systems projects (e.g., component added by team-a draws more current than team-b's circuit can handle).We expect GURU-augmented engineers to gain up to 100X advantages (enabling them to do specialist tasks they otherwise can't) in product dev., manufacturing, as well as energy efficiency & management. This increased productivity and competitiveness can significantly benefit the economy.Imagine you have an idea for a brand-new invention. What tools would you need? Whether your invention is an electric jet, a new way to collect solar power, a high efficiency air conditioner, or a new manufacturing method: to graduate from the concept stage to working prototypes you'll need to do structural design, aerodynamic, fluid, or thermal analysis, you'll need to lay out electric circuits, and perform many other specialized engineering tasks. The more access you have to the best engineering methodologies, and the more computer access you have to implement them, will make a dramatic difference between the idea making it all the way to market — versus never passing the concept stage. How many years of training would you need to learn all these specialist skills, and to use all the tools?
Perks
If you invest over $1,000 you will receive 5% bonus shares.
If you invest over $2,500 you will receive 10% bonus shares and officially sign up to become one of the first commercial GURU customers, with a $250 credit for your first use when GURU goes live.
If you invest over $5,000 you will receive 15% bonus shares.
If you invest over $10,000 you will receive 20% bonus shares, an early preview of GURU as we prepare to release to pilot customers, and invitation to participate in an online stakeholder design review web-conference.
Key Deal Facts
With 92% of small and medium-sized enterprises currently not taking advantage of HPC, GURU has a large market opportunity.
MSBAI expects GURU-augmented engineers to be able to gain up to 100x more efficiency in product development, manufacturing, and energy management, substantially increasing productivity and competitiveness across the economy.
GURU will service a combined market of over $1T (by 2024) between energy efficiency, computer-aided engineering, and high-performance computing.
Use of Proceeds
Intermediary Fee: 6%
Company Employment: 94% - 74%
Operations: 10%
Marketing: 10%
Management Team / Advisory Board Bios
Allan Grosvenor - Co-founder & CEO
Allan Grosvenor, has worked in aviation, energy, and space launch for twenty years doing technology development, and leading teams at Numeca, Ramgen Power Systems, and Masten Space Systems. In a series of tech-dev projects Allan and his teams utilized a variety of AI approaches to achieve powerful design and analysis capabilities, and it was through these experiences the idea of an engineering AI assistant began. Running the US operations and being in charge of North American sales for Numeca, he also gained significant experience in engineering enterprise software sales. Occupations in the last three years: May 2017 - present: (primary job) Co-Founder and CEO of MSBAI, 2014 - present: Senior Engineer at Masten. Allan has worked closely with the world’s top non-classified supercomputing center — the Department of Energy’s: Oak Ridge Leadership Computing Facility (OLCF), as well as the DoD’s HPCMP supercomputing center. MSBAI has ongoing R&D and testing activities at the OLCF.
Experience: 20 Years In Aerospace, Energy, High Performance Computing, Computer Aided Engineering, Artificial Intelligence, Enterprise Software Bizdev
Martin Conlon - Co-founder
MSBAI is a team of engineers who have harnessed the power of supercomputing and AI to innovate in multiple fields including energy, aviation, and space launch. Martin Conlon, PhD., has been developing technologies and leading engineering teams in biotech, aviation, and manufacturing for the past twenty years. He has worked in a broad range of organizations with World Heart, National Research Council, and Equispheres.
Martin has worked with a series of large organizations, and small companies, and he’s witnessed first hand the needs of engineers in a wide range of application areas. He began computer programming at a young age, and has continued developing in a broad range of languages for a spectrum of applications from IT and web, to building engineering tools, throughout his career. Martin started developing machine learning models in grad school and has continued R&D in this area (including supervised & unsupervised learning, Deep Learning) throughout his career.
Experience: 20 Years In Biotech, Aerospace, Artificial Intelligence, Manufacturing, Software Development
Deal Notes
Minimum Number of Shares Offered: 7,352
Maximum Number of Shares Offered: 78,676
Price per Share: $1.36