AB-Exec-Sum

ArtificialBrilliance.com Copyright All Rights Reserved 7/1/2015

Executive Summary Artificial Brilliance, LLC.

Artificial Intelligence (AI)

Big Data, Analytics, SaaS

IoT (Internet of Things)

Main Team

David Johnston

CEO & Founder

Chuck Layton

VP & Co-Founder

John Hancock

VP & Co-Founder

Varun Sharma

Software Team in India (5)

Prince Oniego

Sales/SEO Team in Philippines (8)

“David was born and bred in the shark-infested waters of high completion SEO for the online finance & retail markets. He

has the vision and grit needed for mega success.”

What We Are We are a Big Data AI solutions provider that builds custom neural net machine learning systems for clients who are trying to hire data scientists or who are in the market for outsourced consulting and hands on software development.

What We Are Not We are NOT selling a proprietary technology, a product, widget, etc. We are standing on the shoulders of the giants who have commoditized AI. We specialize in all the different algorithms out there and what problems they are best at solving. We are partnering with IBM Watson, Google Brain, Microsoft Azure & Amazon Echo.

Custom Big Data AI Solutions Deep Learning

Custom Neural Nets

Predictive Analytics

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Problems We Solve We are going to solve the problem of medium size enterprises needing data science R&D and production AI technologies built and deployed in real world scenarios that improve their edge.

Our target demographic inside enterprise are executives not happy with their data science team’s lack of innovation in relation to applying big data and AI in ways that dramatically improve the bottom line. Alternatively they may not have enough talent due to the human resource supply shortages.

And of course, those who just don't want to spend millions on a small team that may not provide an ROI for 2+ years.

Salaries for data scientists start

north of $200,000! A study by McKinsey

projects that “by 2018, the U.S. alone may face a 50 percent to 60 percent gap

between supply and requisite demand of deep

analytic talent.”

Welcomed By Market “We don’t really feel like

spending an extra $3M a year just for a small in-house data science team. We don’t even

know how machine learning will help our business yet. We would

love to utilize a talented consulting firm to launch our

first MVP’s.”

“Our IT department is our second most expensive line item in our budget. Adding a

data science team is going to give us an edge but we want to start slowly and prove the concept

internally before committing to a new department.”

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Mindset Advantage Our distinctive edge is we are the new breed of "Growth Hackers." We are the perfect blend between practical business management and “future focused” technology development. We know how to combine data science aka "narrow AI" and marketing in ways that either generate cost saving efficiencies or add revenue for our clients.

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Market Size You don't have to sell a widget to be a multi-billion dollar custom solutions provider.

Read this:

http://www.businesswire.com/news/home/20150204006341/en/SHI-International-Posts-6-Billion-Revenue-2014

http://www.nasdaq.com/article/how-to-profit-from-the-next-trilliondollar-industry-cm307050

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Why Us? Keep in mind, we come from high competition SEO and affiliate marketing backgrounds.

This means we will both dominate the online branding game as well as build armies of referral networks.

It also means we are highly innovative when it comes to creative problem solving and applying the right type of AI to our clients problem.

Our executive experience covers;

the tech side, admin side, and the side of

enterprise sales cycle management.

http://www.businesswire.com/news/home/20150204006341/en/SHI-International-Posts-6-Billion-Revenue-2014#.VZQ0axNViko







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Competition? Really? That’s So Old School! "We don't have competitors." LOL!

Naive as it sounds, almost every competitor out there is actually either a technology partner or a potential referral partner. If their solution solves our client's problem, great, we on-board them with that competitor and ask for a commission.

We do NOT have to compete with Google, IBM Watson, Amazon, Microsoft, etc. because we simply act as an Independent Software Vendor (ISV) on-boarding companies for them. In fact, we will get sponsorships and funding from them.

Don't forget, ISV’s are the first group of startups they look at when they decide to bring talent and “market onboarding strategies” in-house as an acquisition.

Amazingly Large Pie For others providing customer software solutions, we tip our hats to them and hope to drink a beer with them at the next developer conferences.

Alexa, Echo, ML

IBM Watson

Google Brain

MS Azure ML

Tech Partners

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Tech Agnostic – Top Of Ecosystem

Alexa, Echo, ML

IBM Watson Google Brain

MS Azure ML

Our Custom

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Revenue Model Fee based consulting & development of embeddable machine learning algorithms with monthly recurring revenue from SaaS API usage.

We are offering high-end very expensive consulting and hands on AI development. We also tie in monthly residual income based on licensing and API usage.

Spin-Off Case Study BizTexter is a spin-off company. They have 6,000 businesses using their "smart texting" system for customer service and marketing. They are on pace for $400k in revenue in 12 months. Artificial Brilliance has a 32% stake in BizTexter.

I built a custom neural net for them. I also got them into IBM Watson and Google Brain. I am adding Amazon ML, Azure ML and others to the system. The neural net gets a second opinion from the models deployed to the big boys.

The system calculates its response but learns from the big company's AI. If any one or more of the big boys stop supporting their AI or raise prices, the client already has a highly trained AI that will continue to perform amazingly.

BizTexter is a natural language question and

answer system that provides clients with automated

customer service and follow-up marketing.

Client Value? We build custom deep learning neural net artificial intelligence for clients. We then connect the system to whatever big companies providing the best AI for the problem our client is trying to solve.

If anything goes wrong, or if they want to offload the asset, they have their own proprietary IP along with a transferable technology.


Conclusion No matter how commoditized AI gets, the problem of wrangling the data and building highly custom models for each specific business's pain point will take 10 or more years from now before it’s fully automated without need for human data scientists directing and shaping it.

By then, we will be generating billions of dollars and/or part of a larger company generating 100x that amount because we will take part in inventing it!

Online Pitch Deck

If you haven’t seen it, you are missing out!

If you are interested in investing or partnering with us, please call or text:

David Johnston, CEO Phone: 415-954-2254 Email: [email protected]

29271 Gandolf Ct, Murrieta, CA, 92563

http://artificialbrilliance.com/ab-pitch-deck/

mailto:[email protected]

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