AI Industrial Revolution: Aussie company unlocking AI for multinationals

Everyone knows that Artificial Intelligence is poised to radically transform the way we do business, leaving many CEO’s scrambling to implement AI in their companies.

Everyone knows that Artificial Intelligence is poised to radically transform the way we do business, leaving many CEO’s scrambling to implement AI in their companies.

Businesses understand they must implement AI now or risk being outcompeted by faster competitors. The problem for CEOs is, however, that their enterprises aren’t AI ready – their data is a mess and it is only getting worse.

An Aussie tech firm, Zetaris, has created a solution to this challenge and recently stole the spotlight at NVIDIA’s Global Technology Conference, the pinnacle event of the AI industry.

Partnered with US $2 trillion market cap NVIDIA as well as Dell, Hitachi and PureStorage, Zetaris is a big data company that enables corporations to resolve their data management problems and become AI ready now.

Reach Markets have opened a capital raise for Zetaris, offering wholesale investors the opportunity to invest alongside leading institutional investors and company directors. Click here to request the offer docs.

Artificial Intelligence will change the way we live

There are not many aspects of life that won’t be completely changed by AI. Whether it’s self-driving cars, healthcare, any form of research, entertainment, mineral exploration or warfare – the world is set to look fundamentally different in a few years from now.

Source: Sundar Pichai – World Economic Forum 2021 (Image: Kiboshib.com).

As a result of the creation and reinvention of entire industries, McKinsey projects that AI could effectively double annual worldwide GDP growth, driving a staggering increase of $4.4 trillion in economic activity every year.

CEOs understand that AI promises incredible productivity gains that allow for significant cost savings that will drive advancements in innovation and problem solving capabilities. They are now scrambling to implement AI within their businesses. An Ernst & Young survey showed that 99% of 1,200 CEOs surveyed globally are either making or planning significant investments in AI, with 69% reallocating capital from other projects.

The pace of change is unprecedented – Boston Consulting Group CEO Christoph Schweizer recently stated that his firm has “never seen a topic become relevant as rapidly as Gen AI”.

AI is already here, and its capability is exponentially increasing

While many believe that it will take a decade for the impacts to be realised, the truth, as NVIDIA CEO Jensen Huang stated, is that we are already ‘as close to science fiction as it gets’.

To name just a few examples:

  • Three to six months from now, we could begin to see AI assisted drive thru’s for the largest fast food chains. An AI application will scan your car registration as you move through the queue;  taking into account every order you have made, what days you made them, and what the weather was like, to instantly craft a ‘tailored’ special deal just for you based on your history. (according to research from Deakin University’s Ruby Brooks et al)
  • One to two years from now, as Tata Consultancy CEO K Krithivasan told the Financial Times, call centres will be virtually gone. An AI will be able to predict a call coming in and then “proactively address the customer’s pain point”. The AI will interpret all the data associated with your profile, it knows what products you use, how you use them and what your likely issue is even before you call or type with your problem.
  • Five years from now, AI will likely be able to generate an entire feature film (script, video, audio and all) based on a few mere prompts typed into a chatbox. Last week, director James Cameron (Terminator, Titanic, Avatar) told the Financial Times that “AI could replace him” within this timeframe.

Just as legendary Venture Capitalist Marc Andreessen (early investor in Facebook, Skype, Databricks and more) penned in 2011 that “Software is eating the World”, now NVIDIA’s Huang believes that “AI is going to eat software”.

Reach Markets have opened a capital raise for Zetaris, offering wholesale investors the opportunity to invest alongside leading institutional investors and company directors. Click here to request the offer docs.

AI is ready for the enterprise – but the enterprise (data) is not ready for AI

For AI to ‘eat’ software and deliver its promised productivity gains to large corporations, access to data within these organisations is essential.

An AI-tool (like ChatGPT) is useless if it cannot access all data within a business. According to Will Deane of Exto Partners, the largest investor in Zetaris: “If an AI cannot see the full picture, all it can do is give you a stupid answer faster.”

The problem is, that for many large businesses, the data an AI requires is scattered throughout hundreds of separated databases or systems and is in a multitude of different forms of varying complexity. At present, AI large language models (LLM’s) can only interpret data if it is in a single database.

These images were created by Reach Markets with the help of AI tools.

Until now, the best available method for businesses to get their data into one place has been to migrate (effectively copy and paste) all of their information into a single centralised database – in most cases the cloud.

This method has a host of issues that accompany it:

  1. Data migration projects can be incredibly expensive.
  2. They take an inordinate amount of time (see CBA’s still ongoing migration project that commenced in 2020).
  3. Cloud migrations do not fully achieve enterprise goals (recent research by Accenture found that only 40% of financial services firms are able to fully achieve their expected outcomes from migrating to the cloud).
  4. The scale of enterprise data is exponentially growing (there is a projected 45,000x increase in total data generation by 2030 vs 2022).

Cloud migrations are a half measure solution for enterprise data management problems.

None of this is new. It is the problem Zetaris was founded to solve long before the current AI hype took off. AI’s data processing capability merely makes this problem a lot more relevant.

This creates a massive headache for CEOs who find themselves in a race to be AI ready now.

It also creates an outstanding opportunity for Zetaris.

The solution – Australian tech company Zetaris

Zetaris allows corporations to make their data AI ready now, without undertaking such costly cloud migration projects.

Zetaris’s software sits on existing hardware (servers and data storage devices) and its algorithm accesses the data in its original place, eliminating any need for moving or copying any data.

As CEO Vinay Samuel explains, “this helps companies make sure that the efficiency which AI can offer them can work effectively, right now”.

The algorithm effectively acts as a co-pilot for an AI tool that is able to integrate into multiple data platforms and sources to find the answer to a query up from whatever place the data is sitting in.

Zetaris tech uses its own AI to bring the data together in real time, but can also act with other AI tools. This makes Zetaris the central nervous system through which AI bots operate.

Source: Zetaris 2024 Presentation.

Reach Markets have opened a capital raise for Zetaris, offering wholesale investors the opportunity to invest alongside leading institutional investors and company directors. Click here to request the offer docs.

Zetaris is partnering with some of the biggest players in the AI space

The Zetaris team understands that they now have the opportunity to become a key piece of the infrastructure needed for enterprise AI.

The company is therefore partnering with some of the world’s largest technology companies and integrating Zetaris software within their hardware offerings.

  • NVIDIA –  participant in inception program, collaborative opensource software platform, the joint selling of a GPU data accelerator.
  • Dell Technologies – Integration into Dell offering with Zetaris’ healthcare data for AI studio accelerating the AI journey for major Australian hospital networks.
  • Hitachi – Strategic alliance agreement signed and joint go to market strategy.
  • PureStorage – Agreement to build reference architecture and join product strategy.

Source: Zetaris 2024 Presentation.

In addition to the above agreements, Zetaris is in the process of partnering with an additional 50 enterprises, with further notable partners including IBM, Intel, AMD, Vast DDN and many more.

Zetaris’ value proposition to its partners is that its software enables partners to immediately label and market their hardware as ‘AI-ready’, delivering an immense competitive advantage as the AI revolution unfolds.

2024 is the year for Zetaris to ‘become part of the AI tech stack’

For the highly experienced Zetaris board and management team, 2024 is the year of delivering on 11 years of investment, research and development.

The #1 priority for the next twelve months is to become an essential element of the AI infrastructure stack, to be widely recognised as indispensable software for any enterprise with ambitions to leverage AI.

Zetaris is backed by leading venture capital investors such as Exto Partners, In-Q-Tel (the VC arm of the CIA), Vulpes Ventures and more. Exto, the largest investor, is again contributing significant capital in this raise.

Management sees a range of exit opportunities available to them in the medium to near term, including potential trade sales to enterprise partners who see Zetaris as a weapon in the AI arms race they must acquire to gain exclusivity of use.

Reach Markets have opened a capital raise for Zetaris, offering wholesale investors the opportunity to invest alongside leading institutional investors and company directors. Click here to request the offer docs.

Reach Markets have been engaged by Zetaris to manage this offer and will receive fees based on the uptake of this offer.

You should read the Offer Documents in full before making any decision on this wholesale investment. Any advice is general only and does not consider your objectives, financial situation or needs, and you should consider whether it’s appropriate for you. Past performance is not an indicator of future performance.

 

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