• 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?

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.

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

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.

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.

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.

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.

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.

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.

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:

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.

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.

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.

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!

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.