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$AI IPO +135% 
Develops a SaaS tool that enables enterprises to easily process and analyse data
Counts the US Air Force, Shell and Koch Industries as it clients
Sales grew 71% YoY and reached $ 157m for FY20Here is an EASY thread
http://C3.ai $AI was founded in 2009 and provided a software for energy management 
It quickly expanded and now provides an enterprise AI software
The software works as an SaaS and can be deployed in the cloud
on AWS, Azure, GCP, IBM Cloud or on-premise 
It quickly expanded and now provides an enterprise AI softwareThe software works as an SaaS and can be deployed in the cloud
on AWS, Azure, GCP, IBM Cloud or on-premise
$AI uses machine learning 
to help companies with predictive maintenance, fraud detection, anti-money laundering, inventory optimisation and predictive CRM
This software is now used by private and public clients such as 3M, Shell, the US Air Force, Raytheon
to help companies with predictive maintenance, fraud detection, anti-money laundering, inventory optimisation and predictive CRM This software is now used by private and public clients such as 3M, Shell, the US Air Force, Raytheon
For example 
The US Air Force uses http://C3.AI ’s software to predict engine failures before they occur by gathering and processing vast amounts of aircraft data
The US Air Force uses http://C3.AI ’s software to predict engine failures before they occur by gathering and processing vast amounts of aircraft data
C3 AI SuiteThis acts as a layer on top of the underlying infrastructure (databases, servers, API’s, visualisation tools)
It enables users to interact with the C3 AI Suite and build their own applications instead of having to write lengthy code
http://C3.AI provides thousands of pre-built models that can be modified and extended, and developers can create their own models as well
From C3 AI’s website:
“These prebuilt, extensible models encompass a vast range of entities, including business objects (customer, order, contract, etc.), physical systems and subsystems (engine, boiler, chiller, compressor, etc.), computing resources...
“These prebuilt, extensible models encompass a vast range of entities, including business objects (customer, order, contract, etc.), physical systems and subsystems (engine, boiler, chiller, compressor, etc.), computing resources...
... and services (database, stream processing, etc.) – anything at all that an application requires, can be represented as a model in the model-driven architecture” https://c3.ai/c3-ai-suite/model-driven-architecture/
Simply put, the C3 AI Suite help developers build their own data processing and machine learning pipelines This is done by limiting the amount of code developers need to write as they can rely on $AI ’s built-in models
CR AI ApplicationsThese are pre-built SaaS applications for rapidly addressing high-value use cases such as anti-money laundering, fraud detection, energy management
These applications have been built by http://C3.ai on top of the their CR AI Suite and enable enterprises to plug their data and play with a live dashboard
C3 AI Ex MachinaIt allows business analysts, data analysts, and data scientists to rapidly develop AI analytics on big data in a visual interface
This is a click-and-select, drag-and-drop data analysis tool that enables users to connect, process, visualise & analyse data
Good 
But why are these tools important?
Can’t corporates just have their own developers process the data?
“C3 AI Suite and C3 AI Applications allow organizations to dramatically simplify and accelerate Enterprise AI adoption”
But why are these tools important? Can’t corporates just have their own developers process the data?“C3 AI Suite and C3 AI Applications allow organizations to dramatically simplify and accelerate Enterprise AI adoption”
“Compared to the structured programming approach that most organizations typically attempt, we estimate that our model-driven architecture speeds development by a factor of 26, while reducing the amount of code that must be written by up to 99%”
Great! So what’s the market for these tools 
The total addressable market for $AI is set to grow by 12% / year over the 2020 - 2024 period, going from $ 174B to $ 271B
The total addressable market
for $AI is set to grow by 12% / year over the 2020 - 2024 period, going from $ 174B to $ 271B
This market can be further split in 3
Enterprise AI Software growing at 24% / year over the same period from $ 18B to $ 44B according to IDC
Enterprise Infrastructure Software growing at 7% / year over the same period from $ 63B to $ 82B according to Gartner
Enterprise AI Software growing at 24% / year over the same period from $ 18B to $ 44B according to IDC Enterprise Infrastructure Software growing at 7% / year over the same period from $ 63B to $ 82B according to Gartner
Enterprise Applications (analytics, business intelligence and CRM) growing at 12% / year over the same period from $ 93B to $ 145B according to Gartner
Who is the figure behind $AI ? Well, no one less than Tom Siebel, founder of Siebel Systems (CRM tool that merged with Oracle)
Some of his awards
Entrepreneur of the Year – EY, 2018 and 2017
100% CEO approval rating – Glassdoor, 2017
Top 10 CEOs of 2000 – IBD
Some of his awards
Entrepreneur of the Year – EY, 2018 and 2017 100% CEO approval rating – Glassdoor, 2017 Top 10 CEOs of 2000 – IBD
What is the Pitch for $AI?
Let’s say you are a large retailer and want to make best use of your data to improve your operations
Well, you start and quickly stumble in front of the many systems, libraries, data stores and many more other tools that build the data ecosystem
Let’s say you are a large retailer and want to make best use of your data to improve your operations Well, you start and quickly stumble in front of the many systems, libraries, data stores and many more other tools that build the data ecosystem
What’s your first idea? Let’s build our own solution!
You set up your data bases, servers, data exploration tools… and more!
You quickly realise that this is not really the plug and play solution you were hoping for…
You set up your data bases, servers, data exploration tools… and more! You quickly realise that this is not really the plug and play solution you were hoping for…
Now, what about a single tool that is complex enough to provide flexibility 
But simple enough so that data scientist, analysts and developers can use? Here is http://C3.ai : Integrates with all the tools / vendors and is able to support different clouds
What’s more?
$MSFT and Koch Industries intend to purchase $ 150m worth of shares at IPO price
At the midpoint of the proposed range, $AI would command a fully diluted market value of $ 4.3B
$MSFT and Koch Industries intend to purchase $ 150m worth of shares at IPO price At the midpoint of the proposed range, $AI would command a fully diluted market value of $ 4.3B
Financial Check Sales reached $ 157m in FY20 up from $ 92m a year earlier (71% YoY growth)
Cost of sales stood at $ 38m, leaving a Gross Margin of 75% (down from 79% a year earlier)
Operating expenses stood at $ 189m up from $ 97m a year earlier
OpEx stood at 121% of sales, down from 125% a year earlier
Company has around $ 115m in cash and plans to raise $ 504m in order to fund its operations (working capital, OpEx and CapEx)
COVID Hit 
Sales were only up 16% YoY to $ 40.4m for the Q ended July 31
COVID had an adverse impact on $AI as its clients (large corporates) re-prioritised and sales took longer to close
Certainly as $AI clients are large banks and oil & gas companies which have been hit hard by the pandemic
Moreover, the software take quite some time to be up and running
Moreover, the software take quite some time to be up and running
But their land and expand model provides significant up-sell opportunities
Their TOP15 customers spent on average 2 time their initial contract’s value in subsequent purchases
Their TOP15 customers spent on average 2 time their initial contract’s value in subsequent purchases
THE BOTTOM LINE $AI has designed a software that easily helps enterprises extract and process data in order to produce actionable insights Market for data tools is growing fast, certainly as larger corporate clients kick start their AI initiatives
Tom Siebel’s vision is to turn $AI into the aggregating software that sits at the confluence of data tools and insights Replicating what happened with CRM software in the 2000 - 2020, but now to data processing and analysis as corporates enter the AI age
The software has a long deployment times, which decreased sales efficiency during the pandemic and could be supplanted by a faster competitor
We wait on the sidelines for now as $AI started trading at around $100 a share, reducing the risk / reward potential
We will review $AI ’s post-COVID growth rates at the next earnings calls and buy if company returns to hyper-growth mode
$DASH is on our watchlist To Be Reviewed SOON Disclaimer - This is not investment advice in any form and investors are responsible for conducting their own research before investing.
Sources
✑ Investor presentation
✑ Company website
✑ S1 Filling
✑ Crunchbase
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