MSBAI
The Ultimate Engineering AI Assistant
Regulation Crowdfunding
Los Angeles, CA
Engineering
Accepting International Investment
Sources:
- http://www2.itif.org/2016-high-performance-computing.pdf
- https://www.sbir.gov/sbirsearch/detail/1547977
- https://www.sbir.gov/sbirsearch/detail/1308577
- https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20140003093.pdf
- https://www.globenewswire.com/news-release/2018/08/13/1550981/0/en/High-Performance-Computing-HPC-Market-Size-US-50-Billion-by-2023-Growing-with-8-CAGR-Large-Scale-Sectors-Leveraging-HPC-to-Achieve-Economies-of-Scale.html
Invest in GURU by MSBAI
GURU is solving widespread expertise-barrier problems in engineering, by delivering specialized capabilities as a service. We leverage modern High Performance Computing (HPC) & Artificial Intelligence (AI) to do it.
Our goal is to create the Ultimate Engineering AI Assistant, like J.A.R.V.I.S. in the Iron Man movies.
- We're enabling the 92% of small and medium-sized enterprises (SME's) that don't use HPC to finally be able to. GURU makes it easy by performing end-to-end expert workflows from simple commands.
- The industrial sector consumes a third of the energy in the United States, and yet they've done about the least to implement energy efficiency measures. There are a lack of experts available to do it, and now GURU will enable non-experts to.
- 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?
Each member of the MSBAI team has twenty years experience developing new technologies in energy, aviation and space launch for organizations like the the Department of Energy, DARPA, and NASA. We used supercomputers to invent new technologies that would be impossible to achieve without them, and we came up with ways to build intelligence and automation into entire end-to-end engineering workflows. In the process, we realized we could build a system that would enable non-experts to harness the power of High Performance Computing, which today can be purchased from commercial vendors like Google Cloud, Amazon Web Services, and many others.
There are hundreds of thousands of small companies developing new products and doing manufacturing. Many times, a small engineering team will only have access to a fraction of the expertise or the best tools that exist in order to develop their new idea. Learning all these different tools takes years and years of experience, and small companies can't afford to hire people that are specialists in every single discipline. Companies with large budgets can afford the best tools and to hire the experts. This is already a 10X advantage. And those companies will also deploy them on High Performance Computing (HPC) for another 10X advantage — so there can be 100X differences in engineering productivity between large and small companies.
There’s a lot of innovation we need that isn’t happening today. This is an expertise-barrier problem. It affects how successful and competitive small companies can be in developing new products and doing manufacturing, and it also affects their ability to manage and conserve energy. Our quality of life and our economy depends on their success! Humankind has developed the knowledge to do all these things, but small teams can’t afford to take years to go and get training on a hundred or a thousand skills. Well, today it’s possible to build enough expertise into the computer, so that GURU can deliver these capabilities as a service.
Our goal with GURU is to enable the achievement of new levels of innovation, and a scalable increase in energy conservation,
by solving expertise-barriers experienced by a large percentage of engineers.
The GURU platform enables us to build hybrid-intelligence agents to conduct each engineering task in the workflow — and serve them to your device in a client-server mode, taking advantage of new 5G networks. One of the applications we’re really excited about addresses the expertise-barrier to conserving energy, and we think this is going to be important to deploy in the fight against climate change.
The Offering
Investment
$1.36/Class B Non-Voting Share. When you invest you are betting the company’s future value will exceed $6M.
Investment Incentives and Bonus Perks*
*All Perks occur after the offering is completed
How GURU Makes Money
GURU can achieve scalable revenue by reaching all of these underserved customers, and dramatically increase the market size by enabling new entrants to participate through GURU’s subscription & by orchestrating payments. There are hundreds of thousands of companies who can't afford to hire extra specialist engineers to: try a new design option, or save money in manufacturing by using less energy. GURU will augment their existing team to be able to achieve more.
Our goal with the deployment of GURU is to enable an explosion of new innovation, and really expand energy conservation.
GURU is a platform that enables specialist engineering capabilities to be offered as a service, making the skill accessible to a large percentage of companies who don't otherwise have access to them and are disadvantaged as a consequence. GURU enables customers to use existing engineering tools that are prohibitively difficult to use otherwise by many, and in doing so brings new business to the tool vendors. GURU employs a Software as a Service model — or SaaS (a software distribution model in which a third-party provider hosts applications and makes them available to customers over the Internet). The customers pay for GURU in either a pay-as-you-go mode, or by annual subscription, and GURU orchestrates the payments when channel partner vendor tools are invoked. MSBAI has developed approaches to scale up the number of capabilities that can be served to customers, to maximize the number of annual licenses that can be sold and pursue hundreds of thousands of companies needing these services.
The following sections explain the needs so many small and medium enterprise companies (SME's) have, how GURU provides a brand new solution, what the GURU platform is, and details of how we expect to generate scalable revenue.
Handing Engineers the Best Tools
Engineers develop and build a wide range of things: from bridges, to airplanes, to the Internet. These advances make our lives better, and grow the economy. A small team of engineers will work the overall concept and system development, but there are many specialty areas that must be covered in order to successfully complete a project so that the new invention can be brought to market. Examples include structural design and analysis; thermal; fluid; vibration; electrical; and many others.
A specialist in each discipline can have several years of experience devoted to learning the best practices in becoming proficient with the best software tools. There are over a thousand specialized engineering tools that have been developed for a variety of engineering disciplines that give the user a 10X advantage in their ability to innovate if they have the training needed to use them. Typically it’s the largest, most well-funded companies (like Boeing) who can afford to hire specialist engineers, and these companies also have the experts who can deploy the engineering tools on supercomputers — or High Performance Computing — for another 10X advantage. Now GURU can enable the small companies to gain this combined 100X advantage.
Small Businesses: Critical to the Economy...
But Disadvantaged by Expertise-Barrier
Small businesses are the backbone of the US economy. They bring a lot of the newest innovations and employ almost half of the nation's private sector workforce, and yet they face massive disadvantages.
There is a lot of innovation that hasn’t happened — and there are a lot of problems that have not been solved — because of inadequate access to expertise. Humankind has developed numerous advanced engineering methodologies — but only a small fraction of people have access to them. A person can take a couple years to be trained on a particular specialty, but they can’t do that for ten, or a hundred, or a thousand of them. The United States is a world leader in supercomputing or High Performance Computing and yet almost nobody uses it. Only 8% of the Small- and Medium-sized Enterprise businesses (SME's) that are designing and manufacturing new products have been using HPC — it’s too complicated!
Today, cloud High Performance Computing has become powerful and affordable enough, and Artificial Intelligence has become mature enough, that we can solve this gulf that exists in many companies' ability to use the best engineering tools and run them on cloud HPC.
Coming AI Assistant Industry
There is about to be an explosion in Artificial Intelligence (AI) assistants across multiple disciplines. Companies adopting AI will gain massive advantages in productivity which will translate into much higher revenues. In the figure above it's clear that before achieving these advantages a significant expenditure has to be made in the first few years before achieving productivity improvements. Many companies will not be able to afford this investment to adopt their own internal capabilities. That's why we are building GURU to be able to run complete end-to-end engineering workflows for them. GURU will enable these companies to subscribe and achieve the advantages, while avoiding the prohibitive upfront cost of starting their own AI program.
GURU Verticals — CAE & EE
The GURU platform will enable us to continue expanding into many engineering disciplines. For its first phase of deployment, we are focusing on two main verticals, which we have chosen based on intense immediate needs we have identified in the industry, and our own particular and intimate understanding of these areas.
Computer Aided Engineering
The Department of Energy and NASA have both recently identified a need to make it easier for most workers to use CAE, and leverage HPC to do it:
The solution to this problem must "minimize user intervention...single engineer/scientist must be able to conceive, create, analyze, and interpret a large ensemble of related simulations in a time-critical period (e.g., 24 hours)...full automation is essential." GURU will solve these strong unmet needs, addressing the expertise-barrier by placing enough expertise on the compute-side and serving it to the user.
*Videos are prototype demonstrations. The commercially-deployed platform product is still currently under development.
Energy Efficiency & Management
GURU has the potential to scale up the delivery of expertise that will increase the competitiveness of manufacturers, and is desperately needed by the planet. The latest IPCC report makes an obvious call for energy conservation. We are far from achieving 100% renewable energy, and demand continues to increase so maximizing efficiency is a must. The industrial sector consumes approximately one third of energy in the US, and very little has been done to implement energy efficiency. We're developing GURU capabilities to address the reasons why and to maximize adoption of efficiency measures. Performing energy audits of a manufacturing plant is done today by hiring outside contractors. No one employed at the plant is tasked with energy efficiency work — they don’t have the time or the expertise to do it, and their main focus is getting the products made on time, on budget, and at a high quality.
All of these plants stand to save tens of thousands of dollars or more in their operations per year by implementing these measures, and there are dramatic levels of Green House Gas emissions (GHG) that could be avoided if this ‘expertise-barrier’ to energy efficiency was solved.
GURU enables people working at the plant to perform their own audits when they have time, following a simple checklist, and GURU provides them with a series of recommendations for different measures they can take to save energy. It’s easy enough to use and affordable, so the plant operators will be able to start checking in with GURU on a daily basis. Once they follow the first steps in the audits and recommendations, they’ll be able to connect sensors and IoT equipment and GURU will start taking live data and provide regularly updated summaries and improved recommendations to achieve more savings. Through GURU plant operators can adopt dramatically improved energy management.
We estimate that an industrial deployment of GURU for energy efficiency could reduce GHG emissions by as much as a half billion tons per year.
The California Energy Commission (CEC) and Department of Energy (DOE) have both recently identified the importance of solving the expertise-barrier to Energy Efficiency: 2017 U.S. Energy and Employment Report (USEER) found three quarters of employers reported difficulty hiring qualified Energy Efficiency workers. CEC found in 2017: lack of expertise or personnel to pursue energy efficiency endeavors in the industrial sector.
GURU can deliver the missing expertise to every plant operator.
Revenue Potential of the Coming
Engineering AI Assistant Industry
MARKET SIZE & TOTAL ADDRESSABLE MARKET
The Energy Efficiency (EE) business alone is projected to be a one-trillion dollar market by 2020. Computer Aided Engineering (CAE) is expected to reach a $46 billion total market size by 2024. The High Performance Computing (HPC) market is expected to reach $50 billion by 2023. GURU has been developed to enable a large percentage of new entrants into these markets.
Our bottom-up estimates of capabilities we can deploy on the GURU system and subscriptions we will sell in CAE & EE verticals within the first five years identifies a one-billion dollar Total Addressable Market (TAM).
Development of the GURU platform will accelerate the pace at which we can build and register new capabilities onto the system, which will in turn increase the number of customers we can serve and the number of subscriptions we can therefore sell. In the subsequent five years, as we expand the platform and offer agents with capabilities for adjacent markets, our TAM grows to $20 billion.
No Engineering AI Assistants Exist Yet:
The Need for Hybrid-Intelligence
We're not aware of any engineering AI assistants in existence that would solve the expertise-barriers we've identified, and we haven't found announcements of any coming. Our opinion of the reason why, is that Machine Learning (ML) alone will not answer the need in the way it does in many other applications from recommending retail purchases, to detecting and comparing symptoms in medical diagnosis, to generating legal contracts. From our experience using supercomputers to achieve new technological innovations that would be otherwise impossible to reach, we came up with approaches using ‘hybrid-intelligence’ that works for engineering applications where best practice rules must be followed, while making application-specific decisions. The 'hybrid' combines symbolic AI (carrying out a series of logic-like reasoning steps) and ML (also generally known as geometric or connectionist AI). The importance of developing Hybrid-Intelligence has been recently highlighted by DARPA and some of the world's most important AI researchers:
DARPA called for "approaches in Artificial Intelligence (AI) that incorporate prior knowledge, such as known physical laws, to augment sparse data and to ensure robust operation” and "AI architectures, algorithms and approaches that "bake in" the physics, mathematics and prior knowledge relevant to an application domain in order to address the technical challenges in application of AI in scientific discovery, human-AI collaboration.”
Grady Booch, Chief Scientist for Software Engineering at IBM Research where he leads IBM’s research and development for embodied cognition, recently spoke on the subject and the following are brief excerpts from his important recent presentation:
...And we're seeing that kind of split within the hybrid systems today. AI for on the edge, symbolic systems for decision processing and all the other gorp around it. So we're going to see an emergence over the coming years as to the resolution of how we bring those together.”
Murray Shanahan, Professor at Imperial College London and senior research scientist at DeepMind, is another longtime proponent of hybrid methods and for instance, presented Enhancing Deep Reinforcement Learning with Symbolic Reasoning. Stating, as an introduction to a hybrid architecture his research team developed: "I think we can combine the strengths of good old-fashion symbolic AI with the strengths of neural networks." — and that the hybrid-architecture achieved "very much greater generalizing power than you get from a neural network, or at least the current generation of neural networks." Garnelo & Shanahan explain the need for a hybrid of symbolic AI+Machine Learning in this new paper.
GURU Platform
GURU runs a client-server connection from the user's device to services, HPC, and the 'Agent Society' containing libraries of agents that perform individual tasks. An end-to-end engineering workflow is accomplished by running a series of agents collaborating together.
*Videos are prototype demonstrations. The commercially-deployed platform product is still currently under development.
Each individual agent represents a hybrid of a 'symbolic' rules-based system (where known best-practices, physics, and mathematics are baked-in) AND a 'geometric' Machine-Learning-based system which is invoked when problem-specific choices are made.
The GURU platform enables custom agents to be built in practical timeframes with sparse datasets, through methods we've developed to automate rules-ingestion, and selecting/building/refining Machine Learning models.
How to Use GURU
GURU IS EASY TO USE — VOICE OR POINT & CLICK
GURU works as a portal between you, the engineer, your account, and the computer systems it will use to run your engineering task. The GURU app runs locally on your devices and you can use the GURU web portal if you prefer. We have integrated voice control capability as well as point-and-click control. Some people prefer one of these two different options, some people find the voice feature most convenient while on the go and would use point-and-click for more detailed work. The application or portal running on your device is light and used primarily for communication with GURU services and the cloud HPC systems that will run your jobs.
GURU Orchestrates Payments
The GURU Engineering AI assistant works on a Software as a Service (SaaS) distribution model. There is presently no marketplace for engineering tools and expertise. The beauty of GURU is that it makes engineering tools so easy to use that the engineering marketplace becomes feasible. It’s this degree of ease-of-use that must be reached to solve the expertise-barriers that have prohibited 92% of SME’s from being able to harness HPC.
There are more than a thousand different tools that engineering software companies have designed for specialist engineers and when an engineer can leverage these tools it gives them new design, analysis, manufacturing, and efficiency options that can radically improve the company's competitiveness.
Our surveys and interviews with engineering software vendors show that each of them might have as few as 200-1,000 users worldwide, because they require so much training to use. GURU makes the tools feasible to use for hundreds of thousands of engineers who would benefit from using them, but haven’t because they haven’t gone through the years of training. In the first version of a commercial deployment of GURU, customers will be able to pay per job (execution of one complete engineering workflow) at a price of $500 each, or they will save money by purchasing annual subscriptions at $20,000.
As the GURU platform matures and more capabilities are added, different tiers of subscriptions will be available to enable you to run an expanding range of disciplines on GURU, or to have subscriptions that focus on certain capability areas. When GURU runs a third party vendor’s software, or deploys on a third party cloud computing system, the user is charged a small licensing fee per job. To put it in perspective, a job that on GURU would cost hundreds of dollars to complete, would cost several thousand dollars or more each if a company were to hire their own specialists or hire contractors, and they would still need to pay for computer access no matter what. The massive cost reduction in performing expert engineering workflows is what makes it possible to solve the barriers and upgrade hundreds of thousands of small companies' capabilities — augmented by GURU.
The fee structure is similar to Amazon Prime. On Amazon Prime you have a Prime subscription fee — and with GURU you have a GURU subscription fee. Amazon curates an array of products from many vendors for you, so you can buy exactly what you need easily — GURU agents will be available to run a series of engineering tools from different vendors so you can perform complete design and analysis workflows easily. You supply your account or credit card details on Amazon Prime so you can make one-click purchases — and you do the same in your GURU account, choosing what range of fees are acceptable per job, so that GURU automatically orchestrates the payments as it runs the best tools and deploys them to cloud computing.
GURU Location & Progress
Incorporated in 2017, microsurgeonbot Inc., Doing Business As MSBAI — the developers of GURU — is right at the beginning of its remarkable journey. Based in Los Angeles, MSBAI has demonstrated GURU with a prototype developed for the the first two verticals: i) Computer Aided Engineering (CAE), and ii) industrial Energy Efficiency (EE). In each of these cases, entire end-to-end engineering workflows are completed by several individual task agents running together in a coordinated manner.
MSBAI is at the same juncture that Drew Houston was at when he proved the concept of DropBox and started showing a video of his first prototype to investors. The investment he achieved enabled him to add a co-founder+staff to build the platform so that they could sign up customers and start generating revenue. Today, their valuation is in the range of ten billion dollars.
To make clear what we have achieved with GURU prototype demonstration: The CAE video shows a person talking to GURU running locally on a laptop, and GURU takes the basic commands spoken from the human user, through a remote connection to a High Performance Computing system, invokes agents to make decisions like best solver parameters to select for the specific simulation the user asked for, and parallel computation settings to deploy the compute job, and then it runs the job. This is a real demonstration we have previously demonstrated live for private audiences deploying to different remote computing systems, including the OLCF's Titan Supercomputer. What you see on the laptop screen in the video is GURU actually running the job on Titan as a consequence of the user talking to the laptop.
This demonstrates GURU's simple human-computer interface, the hybrid-intelligence agents, the client-server mode of execution (device to services & remote HPC), and the successful completion of an end-to-end engineering workflow by GURU.
The keys to the GURU platform are methodologies we have developed to build and train our hybrid symbolic+geometric artificial intelligence agents, and how we make it easy for the user to access the agents, and orchestrate the remote services to conduct jobs. The planned platform developments will take our R&D findings and build the commercial platform. This article describes a portion of the prototype testing we have conducted. We have developed and demonstrated the architecture for the engineering assistant hybrid-agents, and we developed an ability to automate the process of building them — which is key to scaling up the number of capabilities GURU offers. The platform developments achieved will enable us to scale up the number of agents (and hence number of jobs GURU can do) and deploy the services to paying customers.
Through your participation in this campaign, you can help MSBAI bring GURU to industry and change the world.
GURU Vision and Growth
The GURU platform developments being conducted will increase the pace at which new agents can be developed and commercially released. The beginning stages focus on releasing a narrower set of capabilities in CAE and EE, and then as preparing agents becomes faster and less expensive we will grow within these verticals, and into adjacent markets. Thus, the GURU assistant has the potential to serve a broadening number of application areas as it enables engineers, and saves them money and time, as well as energy. In addition to improving the competitiveness of small companies by empowering them to innovate and use less energy with the associated contributions to the economy and environment, MSBAI’s revenues will scale up as number of users and subscriptions increase.
The GURU Vision
This campaign is necessary to get GURU started off right. With your help, we will commit our development team to full time focus on GURU to build out the platform and commercially deploy first capabilities. We'll be able to do more than just orchestrate end-to-end engineering workflows in the background. GURU will also orchestrate payments for channel partner engineering tool vendors, and cloud computing vendors. As we scale up the number of customers, the payments aspect of the system will become a marketplace which will be a very powerful driver of revenue. We will incrementally increase support for not only credit card and bank transfer payments, but other electronic payment systems and cryptocurrencies.
Now is the perfect time to invest in GURU!
GURU has the potential to completely disrupt the engineering industry and become indispensable to every engineer on the planet — we are creating the Engineering Assistant Industry. But to do so, we need your help to get off the ground.
First, the tech behind GURU is only going to become cheaper as we build out the platform. And while there are lots of AI assistants being developed at the moment for other application areas, GURU is the only engineering assistant we have come across.
Second, MSBAI and GURU have no prior investors. We have partners and mentors, but this campaign will mark the first time that an equity offering in GURU has become available. By handing SME's a major technology boost and revolutionizing engineering and energy efficiency, both the economy and the environment will benefit. That's not just better for our world, it's better for you as an investor. After all, GURU has the ability to change the world, it's only right that we open that opportunity up to the people who will be affected by it.
Don't miss this opportunity to shape the future alongside GURU!
Letters of Support
FUTURE PROJECTIONS
The scale of revenue we can achieve with GURU is directly connected to the number of engineering capabilities we deploy commercially. Each capability represents an end-to-end engineering workflow performed by a series of hybrid AI agents. Within the verticals of Computer Aided Engineering (CAE) and Energy Efficiency & management (EE), we have identified hundreds of capabilities we can serve, and as the number offered increases on the GURU platform this directly translates to increasing the number of customers we can sell pay-as-you-go jobs, and annual subscriptions to. In the first few years of operation we have identified approximately 25,000 companies needing the capabilities we are developing, and there are ultimately hundreds of thousands of customers we will be able to serve after the first few years of maturing the platform. The aggressive schedule of deployment and Series A projections are in line with other recent activity of companies such as Bonsai (4 year old startup acquired by Microsoft after $13.6 million Series A), and Engineer.ai ($29.5 million Series A). These companies are both developing AI solutions for industrial and engineering applications. The two are pursuing different verticals than MSBAI, but we believe they are close enough for to provide relevant indication of potential. A fundamental difference is that they are building tools for engineers to develop their own internal AI capabilities, whereas GURU is developed by MSBAI to capture the large percentage of companies who don't have the time or resources to do that, and need a reliable end-to-end assistant they can start using for their work.
The years 2019 to 2021 will focus on developing the platform to enable us to deploy GURU to commercial customers, serving the hybrid-agents to perform engineering workflows and orchestrating payments. During this period the total number of capabilities available will be in the tens and we will be working with the first handful of engineering tool and cloud computing service vendors/channel partners, selling services to tens and then low hundreds of customers. We project revenues of $500 thousand Annual Recurring Revenue (ARR) in 2020, and ARR of $3 million in 2021 with associated costs of approximately $800 thousand per year. The expenses include Cost of Goods Sold (with a majority going to support personnel, hosting fees, and equipment) and Operating Expenses (with a majority going to engineering and sales staff). After the first years of operation, the platform will be mature enough to enable us to significantly accelerate the development and deployment of additional hybrid-agents, and we expect to be able to offer hundreds of capabilities. We plan to grow our channel partner network by a factor of ten by this point. In 2021 we expect to pursue Series A funding at a level of approximately $10-20 million in order to fund an expansion that will enable us to pursue a projected ARR of $100 million in 2023. Dominant costs will again be sales and engineering staff, equipment and hosting. We will also have office space expenses that will grow as we increase the team size from approximately ten in the beginning years to approximately 60-80 by 2023, and we expect doubling this number after 2023.
Offering Summary
Company | : | microsurgeonbot Inc. |
Corporate Address | : | 2355 Westwood Blvd., Suite 961, Los Angeles, CA 90064 |
Offering Minimum | : | $9,998.72 |
Offering Maximum | : | $106,999.36 |
Minimum Investment Amount(per investor) | : | $198.56 |
Terms
Offering Type | : | Equity |
Security Name | : | Class B, Non-voting Shares |
Minimum Number of Shares Offered | : | 7,352 |
Maximum Number of Shares Offered | : | 78,676 |
Price per Share | : | $1.36 |
Pre-Money Valuation | : | $5,984,000.00 |
*Maximum subject to adjustment for bonus shares. See 10% Bonus below
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.
*all Perks occur after the offering is completed
The 10% Bonus for StartEngine Shareholders
Microsurgeonbot Inc. will offer 10% additional bonus shares for all investments that are committed, within 24 hours of this offering going live, by StartEngine Crowdfunding Inc. shareholders who invested over $1,000 in the StartEngine Reg A offering which closed earlier this year.
StartEngine shareholders who invested $1,000 or more in that StartEngine Reg A offering will receive a 10% bonus on this offering within a 24-hour window of this offering’s launch date. This means you will receive a bonus for any shares you purchase. For example, if you buy 100 shares of Class B Non-voting Stock at $1.36 / share, you will receive 110 Class B Non-voting Shares, meaning you'll own 110 shares for $136. Fractional shares will not be distributed and share bonuses will be determined by rounding down to the nearest whole share.
This 10% bonus is only valid for one year from the time StartEngine Crowdfunding Inc. investors received their countersigned StartEngine Crowdfunding Inc. subscription agreement.
Irregular Use of Proceeds
Salary payments made to one’s self, a friend or relative.
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Most recent fiscal year-end:
Prior fiscal year-end:
Total Assets
$845.00
USD
$5,000.00
USD
Cash And Cash Equivalents
$845.00
USD
$5,000.00
USD
Accounts Receivable
$0.00
USD
$0.00
USD
Short Term Debt
$0.00
USD
$0.00
USD
Long Term Debt
$0.00
USD
$0.00
USD
Revenues And Sales
$0.00
USD
$13,000.00
USD
Costs Of Goods Sold
$20,000.00
USD
$20,000.00
USD
Taxes Paid
$0.00
USD
$0.00
USD
Net Income
-$38,015.00
USD
-$7,500.00
USD
Risks
A crowdfunding investment involves risk. You should not invest any funds in this offering unless you can afford to lose your entire investment. In making an investment decision, investors must rely on their own examination of the issuer and the terms of the offering, including the merits and risks involved. These securities have not been recommended or approved by any federal or state securities commission or regulatory authority. Furthermore, these authorities have not passed upon the accuracy or adequacy of this document. The U.S. Securities and Exchange Commission does not pass upon the merits of any securities offered or the terms of the offering, nor does it pass upon the accuracy or completeness of any offering document or literature. These securities are offered under an exemption from registration; however, the U.S. Securities and Exchange Commission has not made an independent determination that these securities are exempt from registration.
Updates
Look at where engineers lose time!
16 hours agoHello MSBAI GURU community!
Here's a great way to visualize where engineers lose a lot of time in computer-aided engineering. All those hours lost on manual repetitive work could be used on making their products better, lighter and cheaper instead. We are solving this problem with GURU!
Today, there's a lot of computing power available to engineers from cloud services, but before they can leverage it they need help with this kind of workload! GURU is the new solution they need, to radically reduce this productivity bottleneck. If you haven't finished your investment, make sure to do so! Let's transform the future of engineering together!
Thanks to Pointwise for putting together this nice visualization!
Unbelievable Timing
10 days agoHello MSBAI GURU community!
We began November with a new level of excitement that has been forming during the last couple of months. Did you know that the setting for the classic science fiction film Blade Runner was Los Angeles, November 2019? I want to tell you about some things coming together right now that are setting the stage for us to have the unbelievable timing that Bill Gross has talked about being essential to the most successful startups. A new article from Menlo Ventures defines the 'SaaS Trifecta' (replaces obsolete workflows, becomes system of record, drives network effects and monetizes ecosystem) which we have in GURU, and author Matt Murphy emphasizes: founders who have "lived the problem" are often the best equipped to solve it — That's exactly how we came up with GURU!
New DOE & NSF funding for AI
In a recent update we talked about the Department of Energy's new Artificial Intelligence Technology Office. Well, DOE is joining a global rush to fund AI. "Worldwide corporate AI funding is expected to hit $35.8 billion this year, up 44% from 2018." New announcements are stating "This is just the beginning" and new articles just published indicate the excitement. People leading the charge like Oak Ridge National Laboratory's AI Program Director David Womble talk about how AI is going to augment scientists and engineers in their R&D work and "help assimilate that information and lead toward the hypotheses." The National Science Foundation has just announced major new initiatives for AI in areas including trustworthy AI, manufacturing, and AI for discovery in physics.
AI History, and the Future
Our assessment at MSBAI is that while early AI (in past decades) met serious limitations of pure symbolic expert systems that couldn't be developed fast enough to be broadly useful, the latest Deep Learning achievements have had the most profound impact in areas where data is relatively inexpensive and physical rules don't need to be 'baked in'. Now, some researchers have swung back in the other direction again, but this time knowing both symbolic and deep learning methods need to be mated together (this is a one of the foundations of GURU's technology).
Unbelievable Timing
While the sci-fi version of LA Nov. 2019 depicted in Blade Runner had fully functioning Artificial General Intelligence already, we at MSBAI have been able to adopt some of the working research outcomes from the real AGI research community for use in GURU right now. We truly do have unbelievable timing, as the national interest in using AI to augment engineers and scientists is skyrocketing, along with the government research and private investment budgets. With the pressure for the High Performance Computing industry to service a massive unmet market need of non-specialist product designers and manufacturers, and in conjunction with some of the latest AI methods coming online that will make it possible — the timing could not be better!
Make sure you share this with your friends, our success is your success — and if you have not yet finished your investment, make sure to do so! Together, we're empowering engineers to invent the future!
Notice of Funds Disbursement
17 days ago[The following is an automated notice from the StartEngine team].
Hello!
As you might know, MSBAI has exceeded its minimum funding goal. When a company reaches its minimum on StartEngine, it's about to begin withdrawing funds. If you invested in MSBAI be on the lookout for an email that describes more about the disbursement process.
This campaign will continue to accept investments until its indicated closing date.
Thanks for funding the future.
-StartEngine
We just reached $50K! Join us and Invest Now!
22 days agoThanks to our 87 investors, we've just passed $50,000. Let's keep building the momentum — Please tell your friends, and if you haven't finished your investment yet, do it today!
Energy Dept. Charts AI Future
24 days agoThis past week we were fortunate to be invited to attend the Department of Energy’s AI Town Hall meeting in Washington DC. In September the DOE created a brand new Artificial Intelligence and Technology Office (AITO), to serve as a “coordinating hub for the work being done across the DOE enterprise in Artificial Intelligence,” and announced the goal is to “transform DOE into a world-leading AI enterprise” and “accelerate America’s progress in AI for years to come.”
Photos from DOE's AI Town Hall meeting in DC, Oct. 2019
The majority of participants were researchers from different DOE labs, and MSBAI was lucky to be one of a small number of businesses represented. This was the final of a series of town hall meetings held during the past few months, and some conclusions that were drawn are excerpted below…
Predictions included:
- Artificial Intelligence will grow faster than other IT sectors
- Use of AI will become the primary way in which future workforces can participate in a distributed manufacturing ecosystem
- The larger potential for the near future is augmenting human intelligence, including, for example, accelerated scientific discovery and engineering design
- With new AI systems being developed: HPC novices can accomplish tasks in a tenth of the time that experts spend with traditional tools
- AI-enabled tools will allow entrepreneurs and small businesses to successfully compete on the world stage
And R&D goals included:
- Goal is for the machines to be intelligent and learn the production process with full awareness of the intent of the designer
- Incorporate physics-informed AI to reduce simulation and data requirements in training
- Achieve Efficient Learning with AI systems
- Advances are required to establish principled ways for incorporating domain knowledge throughout machine learning and AI
- AI augmentation of human workforce in manufacturing
One of the themes of the meeting was the recognition that the small percentage of product development and manufacturing engineers who already use High Performance Computing in engineering observe a 500-to-1 Return on Investment (ROI), BUT most engineers aren’t able to take advantage of HPC because they lack the specialized skills to. There were several reiterations of the importance of developing AI driven systems that will augment humans to be able to do sophisticated science and engineering, and they identified the need for comprehensive AI-driven systems that will be able to perform comprehensive end-to-end design and analysis workflows for engineers on HPC systems.
This is exactly what we are focused on doing with GURU, and it was extremely beneficial to have this validation of our mission. Our efforts clearly align with DOE goals, and we realized at the meeting that some of the top AI researchers have concluded that fundamental architectural decisions we made in the design of GURU were the right ones in order to achieve these capabilities. It was a great meeting which really highlighted the massive opportunity that exists for our endeavor.
Now is the perfect time to become a part of our endeavor to invent the future! If you haven't finished your investment yet, do it today!
Notice of Material Change in Offering
about 1 month ago[The following is an automated notice from the StartEngine team].
Hello! Recently, a change was made to the MSBAI offering. Here's an excerpt describing the specifics of the change:
Extended length of campaign.
When live offerings undergo changes like these on StartEngine, the SEC requires that certain investments be reconfirmed. If your investment requires reconfirmation, you will be contacted by StartEngine via email with further instructions.
GURU in the News with Aerospace Customer!
about 1 month ago
Hybrid-Intelligence, and the future of AI
about 2 months agoIn a new book titled Rebooting AI, authors Gary Marcus and Ernest Davis set the stage for very important reasons behind why we adopted a hybrid-intelligence approach. It's a great book on the status of Artificial Intelligence and what some important next steps entail. At a recent event in Pasadena MSBAI posed the following question to Marcus:
"expert systems so far have been too brittle and it takes way too long to program enough of them to have enough useful capabilities…machine learning lacks innateness but at least there are AutoML tools to automatically build and train the models. What is your philosophy on the tooling needed to build and train hybrid symbolic-geometric systems?"
Gary replied: "I'm going to pass on that one, as it's too close to what we are doing in my company" ( The only question he did not answer )
Well, we happen to be working on this too — and it’s great to see that Gary considers these elements to be new & worth protecting!
Prof Gary Marcus, CEO of Robust.AI and MSBAI CEO, Allan Grosvenor in Pasadena
GURU featured in "The Art Of Startup War" Podcast
about 2 months agoHello MSBAI GURU community!
We're excited to be featured in the podcast "The Art Of Startup War" in a new interview by Expert Dojo's Brian Mac Mahon. The episode will be available soon. Brian and MSBAI's CEO, Allan Grosvenor, talk about the urgent need American industry has for the engineering superpowers GURU offers.
Join the growing excitement! Share this with your friends — and if you haven't finished your investment yet, do it today!
Together, we're empowering engineers to invent the future!
Founder & CEO of EXPERT DOJO, Brian Mac Mahon interviewing MSBAI CEO, Allan Grosvenor in Santa Monica
Notice of Funds Disbursement
2 months ago[The following is an automated notice from the StartEngine team].
Hello!
As you might know, MSBAI has exceeded its minimum funding goal. When a company reaches its minimum on StartEngine, it's about to begin withdrawing funds. If you invested in MSBAI be on the lookout for an email that describes more about the disbursement process.
This campaign will continue to accept investments until its indicated closing date.
Thanks for funding the future.
-StartEngine
sources:
https://www.linkedin.com/feed/update/urn:li:activity:6547497561056395264
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