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17 March
RocketBoots
Investor Insight
RocketBoots is a high-growth investment opportunity with an AI-based scalable SaaS model, targeting a $2.4 billion+ market in retail and banking. With strong enterprise adoption, a significant customer site pipeline, and proven cost-saving solutions, ROC is well-positioned for global expansion and recurring revenue growth.
Overview
RocketBoots (ASX:ROC), an Australian innovator in AI-driven computer vision software products, is transforming the retail and financial services landscape. Evolving from its 2004 inception as an internet application consultancy, RocketBoots now stands at the forefront of AI-powered software, empowering businesses to optimize operations and elevate customer experiences.
RocketBoots' proprietary solutions leverage the combined power of machine learning, advanced analytics and cloud computing to deliver tangible results. The company’s technology tackles critical challenges, slashing operational costs, mitigating self-checkout losses and staff fraud, while simultaneously boosting service, sales and customer loyalty.
Real-world Impact, Proven Results
Deployed across major banks, large retail chains, and trialing with multinational enterprises, RocketBoots' impact is undeniable. Four contracted customers on multi-year terms, coupled with a growing pipeline of trials and opportunities, demonstrate the company's ability to deliver significant value.
$2.4 Billion+ Market Opportunity
Operating in a high-growth sector, RocketBoots targets a total addressable market (TAM) exceeding $2.4 billion across Australia, New Zealand, the United Kingdom, the European Union and North America. Its cloud-based platform enables seamless scalability, managing software deployments across global locations from its Sydney headquarters. RocketBoots utilizes a recurring revenue SaaS model, following a one-time activation fee, ensuring predictable and sustainable growth. Future expansion into new geographies and software portfolio additions promises further TAM growth.
Poised for Explosive Growth
With a global enterprise pipeline of over 35,000 retail and banking locations, RocketBoots is primed for significant expansion. The company is aggressively pursuing international growth, with the potential to secure contracts for over 10,000 sites from its existing nine customers who are already engaged in paid contracts, trials or evaluations for major/multi-year agreements.
Leadership and Innovation
RocketBoots is led by seasoned executives with deep expertise in AI, technology commercialization and financial markets. The company’s unwavering commitment to innovation, data security and enterprise-grade scalability mitigates key risks associated with new technology adoption.
Company Highlights
- Mission: RocketBoots empowers global retail and banking giants to slash operating expenses and losses while boosting service, sales and customer loyalty.
- Proven Tech: Validated internationally by top retailers and banks, RocketBoots’ AI-powered software delivers a strong ROI and fuels long-term customer retention. Demand is proven.
- The Advantage: The company’s flagship platform uniquely unifies loss prevention, workforce management, and customer experience — a game-changer for integrated store and branch operations.
- Expert team: Led by seasoned executives and AI specialists, RocketBoots has a strong track record of delivering its cutting-edge computer vision and machine learning software internationally.
- Scale Without Limits: The company’s hybrid cloud/on-prem architecture enables rapid scaling across thousands of locations without massive infrastructure investment or staffing increases.
- Explosive Growth Potential: With a more than 35,000-site global enterprise pipeline and nine international trials already completed or nearing completion (including multinational retailers), RocketBoots is primed for global expansion.
- Massive Market: The more than $2.4 billion addressable market (just retail grocery and branch banking in current territories) is only the beginning. The company is eyeing adjacent sectors, new geographies, and expanding its software portfolio.
Key Technology
RocketBoots provides a unique unified loss prevention, workforce management and customer experience software platform.
The company’s technology enables retailers to:
- Automatically detect potential theft at self-checkouts
- Automatically detect staff fraud at registers e.g. sweethearting
- Revolutionise workforce planning:
- Lower cost staffing with no service impact
- Improved service to reduce queue abandonment & lost sales
Rocketboots also enables retail banks to:
- Revolutionise omni channel workforce planning:
- Lower cost staffing with no service impact
- Improved service to reduce abandonment and lost sales
- Speed up digital channel customer response times by unlocking hybrid working opportunities through precise scheduling of branch staff latent capacity and idle time
- Computer vision – Analyzes live and recorded video feeds to detect, track and interpret human behavior, vehicle movement and in-store activity.
- A hybrid, highly scalable cloud/on-prem architecture that enables secure, remotely managed deployment across customer sites all over the world.
- Out-of-the-box user interfaces that show:
- SCO theft risk alerts
- Fraud risk alerts
- Real-time and historical service and workforce related analysis
- Future staff scheduling and rosters
- Edge computing – Reduces cloud bandwidth costs and enhances data security by processing video on-site while only syncing key insights to the cloud.
- APIs – Enables integration with enterprise systems such as POS (point-of-sale), workforce management and CRM (customer relationship management) platforms.
- Enterprise-grade security and compliance – Regularly penetration-tested and aligned with the security requirements of global banks and retailers.
Retail Applications
Reduce loss and staff costs whilst simultaneously improving customer experience and productivity.
Banking Applications
RocketBoots enables banks to materially reduce operational expenses whilst simultaneously improving customer experience, loyalty & NPS.
Leadership Team
Joel Rappolt – Chief Executive Officer
An experienced technology entrepreneur, Joel Rappolt joined RocketBoots in 2007 and has been CEO since 2013. He has led the company's transition from delivering app development services into developing software products that leverage machine learning, computer vision and IoT to solve longstanding business problems.
Robin Hilliard – Founder and Chief Technology Officer
Robin Hilliard founded RocketBoots in 2004 and has guided its evolution into a focus on computer vision research and software products. With over four decades of experience in software development, he has been the CTO since 2013.
Roy Mckelvie – Independent Chair and Non-executive Director
Roy Mckelvie is the chairman of Encompass Corporation, Wagesafe Limited and Infocus Wealth Management. He is the former CEO of Transfield Holdings and Gresham Private Equity, and previous managing director and Asian head of Deutsche Bank Capital Partners in Hong Kong .
Aaron Seeto – Chief Financial Officer
Aaron Seeto has more than 13 years of experience as an outsourced CFO for private and public companies across various industries, including technology, legal and financial services, and hospitality.
Karl Medak – Non-executive Director
Karl Medak has nearly 40 years of experience in the information and communications technology sector, having worked with organizations such as Telstra, Ericsson Australia and Lend Lease Communications. He co-founded The Frame Group in 2000 and has been a non-executive director of RocketBoots since 2007.
Cameron Petricevic – Company Secretary and Non-executive Director
Cameron Petricevic has more than 17 years of experience in the financial industry, with roles at AXA Asia Pacific Holdings and Acorn Capital. He is a partner at Kentgrove Equity Partners and has extensive experience in valuations, mergers & acquisitions and portfolio management.Keep reading...Show less
Superpowers for in-person service businesses using AI
31 July
Quarterly Activities/Appendix 4C Cash Flow Report
30 April
Quarterly Activities/Appendix 4C Cash Flow Report
18h
10 Generative AI Stocks to Watch as ChatGPT Soars
The launch of OpenAI’s ChatGPT created a major buzz around artificial intelligence (AI) stocks.
ChatGPT is an AI chatbot software application that uses machine learning techniques to emulate human-written conversations. A hitherto niche subsector in the AI industry, this technology is called generative AI, and it's been making an impact on myriad industries, including marketing, security, healthcare, gaming, communication, customer service and software development.
The potential behind generative AI has been the primary driver behind a major stock rally that has helped the S&P and Nasdaq indices reach multiple new highs since 2023.
According to Fortune Business Insights, the generative AI market is expected to grow at a compound annual growth rate of 39.6 percent between 2024 and 2032 to reach an impressive US$967.65 billion.
Although investors can’t directly take a position in privately owned OpenAI, several technology stocks offer exposure to the expected growth in generative AI technology.
Below, the Investing News Network showcases 10 generative AI stocks that stand to benefit the most from the rise in advancements and adoption of AI chatbot technologies, plus seven smaller generative AI companies that may be perfectly positioned to profit from their advancements.
Data was gathered using TradingView’s stock screener. All market cap and share price data was current as of September 2, 2025.
Biggest generative AI stocks to watch
These 10 tech giants offer investors exposure to generative AI by offering their own chatbots and generative AI products, developing the hardware and software necessary for AI and integrating AI into their product.
1. NVIDIA (NASDAQ:NVDA)
Market cap: US$4.15 trillion
Current share price: US$170.74
Nvidia is a pioneer and global leader in graphics processing unit (GPU) technology. The company designs the specialized chips used to train AI and machine learning models.
While it has been well known in computer and gaming spaces for decades, Nvidia's progress in the AI sector has been the biggest growth driver in recent years. The company currently holds the title of the world’s most valuable company, coming in ahead of rivals Microsoft, Apple and Alphabet.
Nvidia's new Blackwell GPU architecture, now in full production, delivers a significant performance leap for AI workloads compared to its predecessor. A new Blackwell Ultra system is set to be released later in 2025.
Generative AI's explosive growth is driving the market for chips designed by companies like Nvidia and Marvell Technology (NASDAQ:MRVL), as well as for memory chips from companies like Micron Technology (NASDAQ:MU), which are another important component to training generative AI systems.
2. Microsoft (NASDAQ:MSFT)
Market cap: US$3.75 trillion
Current share price: US$505.12
The technology behemoth Microsoft has invested US$13 billion in OpenAI throughout the years, and the company's current AI solutions, Bing AI and Copilot, are based on OpenAI's technology. Microsoft has also partnered with Palantir to provide AI tools to US defense and intelligence agencies.
More recently, Microsoft's AI branch, dubbed MAI, has branched out. In August 2025, Microsoft officially launched its first proprietary foundation model, MAI-1-preview, for its Copilot assistance, as well as a new speech model, MAI-Voice-1, designed for efficient, real-time audio processing.
3. Apple (NASDAQ:AAPL)
Market cap: US$3.41 trillion
Current share price: US$220.72
Apple has been incorporating its version of AI, Apple Intelligence, into its iPhones, MacBooks and Apple Watches. Its next major product reveal is scheduled for September 9, 2025.
The company's main goal is to deliver AI capabilities while maintaining user privacy by prioritizing on-device processing. For more complex tasks, it uses Private Cloud Compute, a secure system that runs on Apple's custom silicon chips and is designed to ensure data is not stored or made accessible to Apple.
Apple has partnered with OpenAI to integrate ChatGPT into its ecosystem. The upcoming iPhone 17 series is rumored to feature new AI-driven capabilities and enhanced integration of Apple Intelligence.
4. Alphabet (NASDAQ:GOOGL)
Market cap: US$2.56 trillion
Current share price: US$211.35
Alphabet, Google’s parent company, has played an important role in advancing generative AI technology. Its flagship AI model, Gemini, powers a wide range of services, with new versions continuously being rolled out. The company designs its own custom AI accelerator chips, like the TPU v5p, which are used to train large-scale language models and power its AI services.
Alphabet's subsidiary, DeepMind, focuses on AI research and development. Its AI system AlphaFold won the Nobel Prize in Chemistry in 2024 for its ability to predict the structure of proteins based on a protein's unique amino acid sequence.
AI continues to be embedded across Google's services as well. For example, AI Overviews displayed in Google Search results reach over two billion users per month as of mid-2025.
5. Amazon (NASDAQ:AMZN)
Market cap: US$2.40 trillion
Current share price: US$225.34
Amazon subsidiary and cloud-computing platform Amazon Web Services (AWS) evolved out of Amazon’s transition from an online retailer to one of the world’s largest technology companies. AWS’s wide range of services includes computing, storage, databases, networking, analytics, machine learning and AI.
AWS has many AI business tools on offer across four verticals: AI services, AI platforms, AI frameworks and AI infrastructure. Generative AI is nothing new to Amazon, as the technology forms the basis of conversational experiences with Amazon’s all-too-familiar Alexa.
Since its launch in 2023, Bedrock, a service that enhances software with generative AI capabilities, has expanded its catalog of foundation models to include OpenAI's open-weight models and Anthropic's Claude 4. At its AWS Summit in New York, the company announced Amazon Bedrock AgentCore, an innovation to help businesses rapidly deploy and scale AI agents with enterprise-grade security and tool integration.
6. Meta Platforms (NASDAQ:META)
Market cap: US$1.85 trillion
Current share price: US$735.11
Meta has expressed its commitment to continued research within the generative AI sphere with an open-source approach to its software developments. The giant behind Facebook, Instagram and WhatsApp is one of the most influential companies in tech, sharing ranks with the likes of Microsoft and Alphabet.
Meta AI, which is built with Meta Llama 3, is integrated into Meta's apps and also exists as a standalone website. The company's products use machine learning to streamline Facebook ad campaign generation and help businesses reach the right consumers. This strategy has led to Meta's ad business being a primary driver of revenue.
Meta CEO Mark Zuckerberg has maintained that increased spending on AI infrastructure is necessary to maintain its competitive position. The company has made massive infrastructure investments over the last year and has been aggressively hiring top-tier AI talent.
7. Oracle (NYSE:ORCL)
Market cap: US$632.83 billion
Current share price: US$225.30
Oracle is a tech company that's been around since the 1970s. In the early 2000s, it began buying up other software companies, and today it is one of the leading providers of cloud-based database management software. Its primary AI service, Oracle Cloud Infrastructure (OCI) Generative AI, was released on January 23, 2024.
Oracle has positioned itself as a neutral platform, offering its customers a choice of top-tier models from various providers. It has recently expanded its offerings to include Google's Gemini models and has also deployed OpenAI's GPT-5 across its cloud applications and database portfolio.
Oracle maintains a long-standing partnership with Nvidia, leveraging its hardware for large-scale AI workloads. This collaboration has culminated in the company building a zettascale supercomputer using as many as 131,072 Nvidia Blackwell GPUs to tackle complex generative AI challenges.
8. Palantir Technologies (NASDAQ:PLTR)
Market cap: US$372.67 billion
Current share price: US$157.29
Palantir's generative AI strategy is centered on its Artificial Intelligence Platform (AIP), a core product designed to help governments and commercial enterprises integrate AI into their operations with a focus on security and human-in-the-loop control.
Rather than building models for general use, Palantir's approach is to provide a platform that enables customers to leverage large language models from various providers, like OpenAI and Google, within their own private, secure networks.
9. Salesforce (NYSE:CRM)
Market cap: US$252.86 billion
Current share price: US$241.73
Salesforce is a global leader in cloud-based customer relationship management software. In 2023, the company announced a strategy to embed generative AI across its entire product portfolio to transform how businesses interact with their customers.
In early 2025, Salesforce announced the retirement of its Einstein Copilot brand in favor of a new name, Agentforce, a fully autonomous AI agent that can handle complex, multi-step tasks across a company's sales, service and marketing operations. The company has reported that AI agents are handling up to 50 percent of customer support conversations, which has led to a significant workforce restructuring.
10. Cisco Systems (NASDAQ:CSCO)
Market cap: US$268.49 billion
Current share price: US$67.80
Multinational digital communications firm Cisco Systems is a leader in IT and communications networks. Its strategy focuses on providing the hardware, software and security solutions enterprises need to build and deploy their own AI applications. The company has a large portfolio of multi-cloud products and applications, alongside strong relationships with Azure, AWS, Nvidia and Google Cloud.
Cisco’s AI and machine learning offerings encompass a wide range of computing solutions for enterprises, including a focus on cybersecurity. Cisco has also brought to market new generative AI tools for IT professionals, including its own AI Assistant.
In January, the company introduced Cisco AI Defense, an end-to-end solution that protects against the misuse of AI tools, data leakage and sophisticated threats beyond the capabilities of older security systems.
Generative AI stocks to watch
The following companies have not yet reached the market capitalization of our top 10, but are each worth billions of dollars and have made some amazing achievements in generative AI technology in their own right, making them interesting prospects for investors.
In alphabetical order, they are:
- C3.ai, a company providing software as a service products to the financial and oil and gas industries. Its partnership with Alphabet allows C3.ai generative AI applications to be available on Google Cloud.
- CrowdStrike (NASDAQ:CRWD), a cybersecurity provider that monitors and analyzes Internet activity, detecting threats and blocking attacks with its generative AI-powered security analysis software, Charlotte AI. This service is available to every Falcon user and provides real-time feedback on a company’s risk landscape.
- Dell Technologies (NYSE:DELL), a supplier of crucial high-performance computing hardware required to train and run generative AI models.
- DynaTrace, a data-analysis company that provides real-time feedback on IT infrastructure for various companies using its generative AI assistant, Davis.
- IBM (NYSE:IBM), a foundational US company that develops and trains its own proprietary generative AI models, such as the Granite family of large language models. Its strategy is built on the IBM watsonx platform, which is a comprehensive suite of AI tools and services.
- Juniper Networks (NYSE:JNPR), a company that develops and markets routers, switches, network management software, network security products and software-defined networking technology. In 2021, the company introduced AI services to its networking technology and in early 2024 the company unveiled the industry's first AI-Native Networking Platform.
- SAP (NYSE:SAP), a software company out of Germany with a line of generative AI products, including its Joule AI agent, that aid companies in resource planning. The company has been collaborating with UC Berkley's Sky Computing Lab to further research how cloud technology can support AI applications.
- UiPath (NYSE:PATH), a software company with roots in Romania and headquarters in New York. UiPath designs robotic process automation software to reduce or eliminate boring or repetitive tasks like data extraction and file management, saving companies in a wide range of industries hundreds of hours thanks to its AI and generative AI software.
FAQs for generative AI
What is generative AI?
Generative AI is an emerging AI technology based on deep learning models and algorithms that can generate text, images or sounds in response to prompts given by users.
What are generative AI examples?
Some of the most notable examples of generative AI are ChatGPT, DALL-E 2, Midjourney, Stable Diffusion, Gemini, Copilot and DeepSeek.
OpenAI's DALL-E 2 is an AI system that can create realistic images and art from a description in natural language. Similar to DALL-E 2, Midjourney generates images from prompts. Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. Microsoft's Copilot is a feature of the Bing search engine that leverages the same technology as ChatGPT.
What are the hottest generative AI startups?
According to technology and business magazine e-Week, in addition to ChatGPT creator OpenAI, some of the other leading generative AI startups include Hugging Face, Synthesis AI, Jasper and Cohere.
This is an updated version of an article first published by the Investing News Network in 2023.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
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03 September
Canada's Stealthy AI Strategy: Why the Future is B2B, Not Just Chatbots
As global giants chase consumer-facing artificial intelligence (AI), Canada has adopted a different approach.
The northern nation has excelled in developing B2B AI solutions for enterprises, governments and research institutions. This discreet strategy aims to cultivate a trusted AI environment, fostering innovation and economic growth within Canada, while building a resilient ecosystem safeguarded from external influences.
While the spotlight often falls elsewhere, Canada’s AI strategy could present a unique opportunity for investors seeking long-term growth in the evolving AI landscape.
Understanding the two faces of AI
While public attention often gravitates toward chatbots and image generators, many of the most impactful AI innovations are systems that optimize supply chains, detect fraud in financial transactions or accelerate drug discovery.
Enterprise AI, as these systems are often referred to, offers solutions to complex challenges that are unique to large corporations, financial institutions and government entities.
A significant portion of Canada’s AI buildout has been focused on institutional or B2B use cases, even if business adoption has been slower compared to the US. The country’s AI approach involves an organized strategy largely guided by the government, conducive to creating AI products and services designed specifically for large organizations.
Canada's blueprint for AI adoption within federal departments is laid out in a report released earlier this year, which lists building a central AI capacity as the first of four key priority areas.
A related initiative, the Canadian Sovereign AI Compute Strategy, outlines how Canada will ensure it has the physical computing capacity to compete globally and maintain data sovereignty.
It includes a C$2 billion investment to build and provide access to domestic AI computing power and infrastructure. This initiative is a key focus for Evan Solomon, Canada's minister of AI and digital innovation.
Cohere, a privately owned leading Canadian AI company that specializes in enterprise-focused large language models, exemplifies the country’s strength in this space.
Cohere's B2B AI strategy takes off
Founded in 2019, Cohere has become a prime example of a successful B2B strategy. The company develops highly specialized, institutional AI solutions for industries like finance, healthcare and logistics.
Its focus on privacy and security enables it to serve large markets needing specialized and secure solutions, providing enterprise-grade large language models and tools for custom AI applications.
Underscoring its growing success, Cohere secured US$500 million in an August funding round led by Canadian funds Radical Ventures and Inovia Capital, bringing its valuation to US$6.8 billion. The company has formed working relationships with several tech industry giants, including Oracle (NYSE:ORCL) and SAP (NYSE:SAP), and has onboarded former executives from Uber Technologies (NYSE:UBER) and Meta Platforms (NASDAQ:META). Global consulting firm McKinsey also works with Cohere to help its clients integrate generative AI into their operations.
A key part of Cohere's work is Cohere North, an enterprise-ready AI platform that Dell Technologies (NYSE:DELL) began offering to its enterprise customers this past May as part of a complete AI package.
In the financial sector, Cohere and the Royal Bank of Canada (TSX:RY,NYSE:RY) have partnered to introduce North for Banking, a secure generative AI platform designed to enhance productivity and data security specifically within the financial services sector. A January press release emphasizes the goal of speeding generative AI solutions.
This summer, Cohere teamed up with Bell Canada (TSX:BCE,NYSE:BCE) to supply specialized AI models to government and enterprise customers, with Bell providing the infrastructure layer with its AI Fabric network of data centers.
BUZZ High Performance Computing, a subsidiary of Canadian digital infrastructure company Hive Digital Technologies (TSXV:HIVE,NASDAQ:HIVE), contributes to the Cohere-Bell endeavor by providing NVIDIA (NASDAQ:NVDA) GPU clusters as the foundational hardware layer for large-scale AI workloads.
Cohere has also received backing from the Canadian government, with Ottawa signing a memorandum of understanding (MOU) with the company to integrate AI into public services on August 19.
The non-binding agreement acknowledges the company’s public sector ambitions and the government's interest in leveraging AI for productivity and domestic sourcing.
According to Cohere co-founder and CEO Aidan Gomez, this MOU represents “the beginning, hopefully, of our technology being rolled out quite broadly within the Canadian government.”
Cohere struck a similar agreement with the UK government in June.
Government support for Canadian AI ventures
Canada's approach to AI is built on stable, institutional-grade solutions and is championed by the administration of Prime Minister Mark Carney, offering a nuanced and attractive proposition for discerning investors.
Focusing on the B2B market provides a foundation of stability, as it offers stable, predictable revenue through multimillion-dollar, long-term contracts and full-stack solutions that ensure customer loyalty and economic resilience.
Many investments also have government support, providing a somewhat “de-risked” play for investors.
The Carney administration has made public commitments to incorporate AI into the public sector, promised to provide tax incentives for companies and said it will slash regulatory red tape on AI infrastructure projects like data centers.
The Department of Finance has already introduced draft reforms to the Scientific Research and Experimental Development program that would extend refundable tax credits to Canadian public companies.
Finally, the strategy is buoyed by a robust domestic investment landscape.
Canadian investors have historically provided strong financial backing for homegrown AI startups. Firms like BDC Capital, Real Ventures and MaRS Investment Accelerator Fund have taken the lead in terms of deal count, demonstrating a strong, homegrown commitment to fostering the Canadian AI ecosystem from its earliest stages.
Canada's quiet AI leadership
Canada's stealthy AI strategy is cementing its role as a quiet yet formidable force in the global AI landscape.
Companies like Cohere, bolstered by initiatives such as AXL's initiative to launch 50 Canadian AI companies in the next five years, underscore a commitment to developing and retaining Canadian AI talent and intellectual property.
For discerning investors, this focus on stable, institutional solutions offers a significant and differentiated long-term growth story beyond the consumer AI buzz.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
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02 September
Syntheia Announces Closing of Private Placement
Syntheia Corp. (CSE: SYAI)(CSE: SYAI) (syntheia.ai) (the "Company"), is pleased to announce that further to its press release dated July 23, 2025, it has closed the first tranche of its non-brokered private placement financing for gross proceeds of $1,464,599.88 through the issuance of 12,204,999 units (each, a "Unit") at a price of $0.12 per Unit (the "Offering").
Each Unit is comprised of one common share in the capital of the Company (each, a "Common Share") and one Common Share purchase warrant (each, a "Warrant"). Each Warrant is exercisable to acquire one Common Share at a price of $0.16 until September 2, 2030 (the "Expiry Date"), subject to an accelerated expiry in the event the volume weighted average trading price of the Common Shares exceeds $0.20 for 20 consecutive trading days, the Company may, within 10 business days of the occurrence of such event, deliver a notice to the holders of the Warrants accelerating their Expiry Date to a date that is not less than 30 days following the date of such notice and the issuance of a press release by the Company announcing the acceleration notice (the "Accelerated Exercise Period"). Any unexercised Warrants shall automatically expire at the end of the Accelerated Exercise Period.
In connection with the Offering, the Company paid: (i) a cash commission of $37,488.00; and (ii) 312,400 finder's warrants (each, a "Finder's Warrant") to certain finders (the "Finders"). Each Finder's Warrant is exercisable to purchase one additional common share (each, a "Finder's Share") at a price of $0.16 per Finder's Share. The Finder's Warrants have the same terms as the Warrants issued under the Offering.
Gross proceeds raised from the Offering will be used for working capital, general corporate purposes, and to satisfy part of the purchase price for the asset acquisition as previously announced on July 4, 2025. All securities issued in connection with the Offering will be subject to a hold period of four months plus a day from the date of issuance and the resale rules of applicable securities legislation.
This press release does not constitute an offer to sell or a solicitation of an offer to buy the securities in the United States. The securities have not been and will not be registered under the United States Securities Act of 1933, as amended (the "U.S. Securities Act") or any state securities laws and may not be offered or sold within the United States or to U.S. Persons as defined under applicable United States securities laws unless registered under the U.S. Securities Act and applicable state securities laws or an exemption from such registration is available.
About Syntheia
Syntheia Corp. is an early-stage artificial intelligence technology company, channeling its efforts into refining and expanding its proprietary, conversational AI-based platform (the "Syntheia AI Platform"). The Syntheia AI Platform represents the integration of natural language processing ("NLP") technology, enabling it to not only understand but also respond to human language with accuracy. The Syntheia AI Platform, a generative, AI-powered algorithm equipped with a human-like voice, boasts self-learning capabilities derived from NLP methodologies.
Currently in beta testing, the Syntheia AI Platform is crafted to offer a suite of automated solutions, particularly for retail-focused businesses where customer interaction and service are key to operations. At the heart of the Syntheia AI Platform is its use of AI to emulate human cognitive processes, combined with a sophisticated large language model, which is integral for interpreting and generating human-like language responses.
For further information, please contact:
Tony Di Benedetto
Chief Executive Officer
Tel: (416) 791-9399
Cautionary Statement
Neither the Canadian Securities Exchange nor its Market Regulator (as that term is defined in the policies of the Canadian Securities Exchange) accepts responsibility for the adequacy or accuracy of this news release.
This news release contains certain "forward-looking information" within the meaning of applicable securities law. Forward-looking information is frequently characterized by words such as "plan", "expect", "project", "intend", "believe", "anticipate", "estimate", "may", "will", "would", "potential", "proposed" and other similar words, or statements that certain events or conditions "may" or "will" occur. These statements are only predictions. Forward-looking information is based on the opinions and estimates of management at the date the information is provided, and is subject to a variety of risks and uncertainties and other factors that could cause actual events or results to differ materially from those projected in the forward-looking information. The Company undertakes no obligation to update forward-looking information if circumstances or management's estimates or opinions should change, unless required by law. The reader is cautioned not to place undue reliance on forward-looking information.
The securities of the Company have not been and will not be registered under the United States Securities Act of 1933, as amended and may not be offered or sold in the United States absent registration or an applicable exemption from the registration requirement. This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in any jurisdiction in which such offer, solicitation or sale would be unlawful.
Click here to connect with Syntheia Corp. (CSE: SYAI) to receive an Investor Presentation
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29 August
Tech 5: NVIDIA Results Rattle Investors, Trump Signals More Tech Deals to Come
Artificial intelligence (AI) stocks saw continued pressure this week as concerns about overvaluation weighed on the sector ahead of NVIDIA's (NASDAQ:NVDA) results release for its second fiscal quarter.
The company beat Wall Street projections on revenue, earnings and profits, but shares still fell in extended trading on Tuesday (August 26) after it reported no H20 sales to China, where competition from domestic firms is heating up.
John Murillo, chief business officer at B2BROKER, suggested the pullback could present a short-term buying opportunity for high-quality names with strong fundamentals, but cautioned that it could be the start of a broader correction.
“However, the long-term potential of AI can’t be ignored,” he told the Investing News Network, emphasizing his preference for top players like NVIDIA and Palantir Technologies (NASDAQ:PLTR) over smaller, debt-leveraged firms.
Reports that DeepSeek will train its newest AI models on Huawei chips and Cambricon Technologies' (SHA:688256) 4,300 percent revenue surge underscore the shifting AI landscape. Still, optimism wasn’t absent: NVIDIA CEO Jensen Huang pointed to accelerating global demand and unveiled a US$60 billion buyback program to reassure investors.
“All in all, the sector’s long-term trajectory remains bullish, with AI adoption accelerating across industries,” said Murillo.
Nasdaq Composite, NVIDIA and Dell Technologies performance, August 26 to 29, 2025.
Chart via Google Finance.
However, it wasn’t enough to reassure the public, and NVIDIA's share price fell over 4 percent between Wednesday (August 27) and Friday (August 29). As investors analyzed new inflation data that indicates tariffs are impacting prices, other AI-related stocks saw losses too, pulling the S&P 500 (INDEXSP:.INX) from its recent record highs.
With that, here's a look at some of the other drivers that shaped the tech sector this week.
1. Intel warns of adverse reactions to government equity stake
In a US Securities and Exchange Commission Form 8-K filing dated August 22, Intel (NASDAQ:INTC) warns that the federal government’s 10 percent stake in its business could cause “adverse reactions,” including litigation from investors, employees, customers, suppliers, partners and foreign governments.
The company also discloses a clause in the agreement that would raise the government’s stake to 15 percent if the company fails to meet set manufacturing thresholds.
Moreover, the filing states that, if this agreement prompts other government bodies to seek similar stakes, the varied agendas could diminish the voting power of other shareholders.
The comments come after the White House announced last week that it would take a 10 percent stake in the company in a deal worth around US$8.9 billion. On Monday, (August 25), President Donald Trump suggested he might pursue similar agreements with other American companies, posting on Truth Social:
“I will also help those companies that make such lucrative deals with the United States. I love seeing their stock price go up, making the USA RICHER, AND RICHER.”
Meanwhile, White House economic advisor Kevin Hassett told CNBC that the deal is part of a broader strategy to create a sovereign wealth fund that may include additional companies.
Later, during an interview on CNBC’s Squawk Box on Tuesday, Secretary of Commerce Howard Lutnick said Pentagon officials are considering acquiring equity stakes in leading defense contractors such as Lockheed Martin (NYSE:LMT).
2. Apple sets date to reveal fall product lineup
On Tuesday, Apple (NASDAQ:AAPL) invited media members and analysts to its next launch event, which is scheduled for September 9 at 10:00 a.m. PST.
The event, which will be live streamed from the iPhone maker's campus, is expected to be the venue for the introduction of the new iPhone 17 lineup and updated Apple Watch models.
The new iPhone series is rumored to include four models:
- iPhone 17
- iPhone 17 Pro
- iPhone 17 Pro Max
- A new iPhone 17 Air that will reportedly replace the iPhone 16 Plus. This new model is rumored to be exceptionally thin, potentially as slim as 5.5 millimeters, a major new design direction for Apple.
The new iPhones are also expected to feature a new "Liquid Glass"-based interface as part of iOS 26.
According to Bloomberg journalist Mark Gurman, who has a reputation for being one of the most accurate and prolific sources of leaks about Apple's future products, the company is planning three years of major iPhone redesigns, starting with the September release. Apple’s first foldable iPhone, code-named V68, is slated to arrive in 2026, according to Gurman. Apple's 2027 "iPhone 20" will feature curved glass edges to complement the upcoming Liquid Glass-based interface for iOS and other operating systems.
3. IBM, AMD to partner on quantum supercomputer
IBM (NYSE:IBM) and Advanced Micro Devices (AMD) (NASDAQ:AMD) said on Tuesday that they plan to collaborate to develop quantum-centric supercomputing.
The two companies, which have each fundamentally advanced the frontiers of quantum hardware and software, AI accelerators, CPUs and GPUs, said they will work together to “develop scalable, open-source platforms that could redefine the future of computing” by combining their strengths in quantum and high-performance computing.
“Quantum computing will simulate the natural world and represent information in an entirely new way,” said Arvind Krishna, chairman and CEO of IBM, adding that the firms' collaborative efforts will “build a powerful hybrid model that pushes past the limits of traditional computing.”
“We see tremendous opportunities to accelerate discovery and innovation,” said Dr. Lisa Su, chair and CEO of AMD.
In an interview with Axios, Jay Gambetta, IBM's quantum vice president, said he aims to get fault-tolerant quantum computers, a set of techniques and architectural designs that ensure a computation can proceed accurately even in the presence of errors, “by the end of this decade.”
4. Cost of Meta data center to exceed original estimate
During a cabinet meeting on Tuesday, Trump told reporters that Meta Platforms' (NASDAQ:META) Louisiana data center will cost the company around US$50 billion to build.
That's over 70 percent of the company’s projected CAPEX spending in its latest quarterly report.
“When they said US$50 billion for a plant, I said, ‘What the hell kind of plant is that?’” said Trump, revealing a photo of the proposed data center, Hyperion, superimposed over the island of Manhattan.
“When you look at this, you understand why it’s US$50 billion,” he added.
When the data center was announced, officials in Louisiana estimated the project would cost around US$10 billion. Meta has not confirmed this new estimate and declined to comment on Trump's remarks.
5. Fusion developer raises US$863 million for energy development
On Thursday (August 28), Commonwealth Fusion Systems, a leading nuclear fusion developer in the US, announced it has secured US$863 million in an oversubscribed Series B2 funding round.
Investors including Morgan Stanley (NYSE:MS) and NVIDIA contributed to this capital raise, which will facilitate the completion of Commonwealth's Spac fusion demonstration machine, as well as the commencement of construction on a new ARC power plant in Virginia.
“Investors recognize that CFS is making fusion power a reality. They see that we are executing and delivering on our objectives,” said the company’s CEO and co-founder, Bob Mumgaard. “This funding recognizes CFS’ leadership role in developing a new technology that promises to be a reliable source of clean, almost limitless energy — and will enable investors to have the opportunity to capitalize on the birth of a new global industry.”
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Editorial Disclosure: The Investing News Network does not guarantee the accuracy or thoroughness of the information reported in the interviews it conducts. The opinions expressed in these interviews do not reflect the opinions of the Investing News Network and do not constitute investment advice. All readers are encouraged to perform their own due diligence.
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28 August
NVIDIA Delivers Record Quarter as AI Demand Booms, but China Uncertainty Persists
NVIDIA (NASDAQ:NVDA) delivered another blockbuster quarter, reporting record revenue of US$46.7 billion for its second fiscal period as demand for artificial intelligence (AI) infrastructure continues to surge.
The chipmaking giant said sales rose 56 percent from a year earlier and 6 percent from the prior quarter, marking the ninth straight period of year-on-year revenue growth above 50 percent.
Meanwhile, NVIDIA's net income jumped 59 percent to US$26.42 billion from US$16.6 billion. Its adjusted earnings per share were US$1.05, beating analyst forecasts of US$1.01.
“Blackwell is the AI platform the world has been waiting for, delivering an exceptional generational leap — production of Blackwell Ultra is ramping at full speed, and demand is extraordinary,” said founder and CEO Jensen Huang.
“The AI race is on, and Blackwell is the platform at its center,” he added.
The company’s data center division once again fueled growth as it generated US$41.1 billion in revenue, 56 percent higher than a year ago. Roughly US$33.8 billion of that total came from sales of NVIDIA's GPUs, while US$7.3 billion was from networking hardware that ties together large AI computing systems.
Sales of NVIDIA's Blackwell processors, launched in May, rose 17 percent quarter-on-quarter. The product line has quickly become the backbone of NVIDIA's data center business, accounting for a majority of the segment's revenue.
Wall Street reacts to NVIDIA results
Despite NVIDIA's strong numbers, company shares initially slipped in after-hours trading as some investors fretted about slower growth momentum in the data center division.
Regardless, the stock later pared its losses by turning positive on Thursday (August 28).
Overall, NVIDIA has surged 35 percent so far this year after nearly tripling in 2024.
NVIDIA performance, August 25 to 28, 2025.
Chart via Google Finance.
The company is guiding for revenue of US$54 billion, plus or minus 2 percent, in the October quarter.
However, that forecast does not assume any shipments of the H20, a chip that was designed for the Chinese market, but is currently sidelined by export restrictions.
Colette Kress, NVIDIA's CFO, told analysts the company could ship between US$2 billion and US$5 billion worth of H20 processors this quarter if geopolitical conditions allow.
No H20 sales to China
NVIDIA confirmed it had no H20 sales to China in its second quarter.
Instead, it benefited from releasing US$180 million in previously reserved H20 inventory to a customer outside of China, boosting reported revenue by US$650 million. The company previously said that the lack of H20 shipments cost it up to US$8 billion in potential sales in the second quarter alone.
Huang met with US President Donald Trump earlier this summer to lobby for licenses to export the H20, a chip that was developed specifically to comply with US trade restrictions.
Under a tentative deal, NVIDIA agreed to pay 15 percent of China H20 revenue to the US government in exchange for export approvals. However, the arrangement has yet to be codified into a formal agreement.
Blackwell and the China dilemma
Beyond H20, attention has shifted to NVIDIA's newest flagship processor, Blackwell.
On Wednesday’s (August 27) earnings call, Huang said there is “a real possibility” of bringing Blackwell to China.
“We just have to keep advocating the importance of American tech companies to be able to lead and win the AI race, and help make the American tech stack the global standard,” he said. Huang estimates that China represents a US$50 billion opportunity for NVIDIA this year, with growth of 50 percent annually. He argued it is better for Chinese AI firms to use NVIDIA chips, even if modified, rather than being forced to rely on domestic alternatives.
Trump, however, has expressed caution. Speaking at a press conference earlier this month, he said, “The Blackwell is super-duper advanced. I wouldn’t make a deal with that.”
However, he said he could allow a “somewhat enhanced in a negative way” Blackwell chip to be sold to China, further suggesting that such a version could be slowed by 30 to 50 percent to comply with US restrictions.
Even without China sales, NVIDIA maintains a bright outlook.
Huang told analysts the buildout of AI infrastructure is still in its early stages, further projecting that global spending on AI infrastructure could reach US$3 trillion to US$4 trillion by the end of the decade.
Furthermore, large cloud providers, which remain NVIDIA's biggest customers, have announced plans to spend tens of billions of dollars per quarter on AI infrastructure, ensuring a steady pipeline of demand for the company's chips.
Don’t forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
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28 August
ResetData Creates New Public Sovereign AI Supercomputer in Australia
Australian cloud provider ResetData, part of Centuria Capital Group (ASX:CNI), has unveiled AI-F1, a public sovereign artificial intelligence (AI) supercomputer located in Australia.
AI-F1 offers onshore, high-performance AI computing resources for the government, academic and business sectors.
The multi-megawatt supercomputer allows customers to leverage NVIDIA's (NASDAQ:NVDA) NIM microservices, which are designed to work on machine learning and large language models.
According to the company, AI-F1 will be key to Australia's AI future. It will keep sensitive data within the country, ensuring that users “can compete globally while keeping their data protected and onshore.”
Over 350 people reportedly worked on completing the new supercomputer, with 12 full-time jobs created.
ResetData asserts that, at full capacity, AI-F1 will be the most powerful public GPU-cluster supercomputer in the country, exceeding the capabilities of current leaders like Gadi and Setonix.
Gadi is recognised as a reputable copilot for solar and renewable energy management, while Setonix is focused on accelerating scientific research in areas such as astrophysics, climate science and health sciences. Setonix is also said to be among the world’s most environmentally friendly supercomputers, a quality AI-F1 aims to emulate.
“AI-F1 utilises revolutionary liquid immersion cooling technology, delivering up to a 45 percent reduction in emissions, cutting operational costs by up to 40 percent compared to legacy data centres, and operating with zero wastewater,” ResetData elaborated. Cooling performance is 10 times better in one-tenth the floorspace of traditional data centres.
The supercomputer will be housed in a pre-existing building, ensuring minimal latency for critical applications.
Additionally, ResetData’s comprehensive AI Marketplace offers access to pre-built, pre-trained and NVIDIA-certified AI solutions, supporting industries ranging from accounting and legal services to retail, tech and engineering.
Celebrating with a competition
To celebrate the launch of AI-F1, ResetData has launched a competition for Australian innovators, startups, researchers and organisations. It is “designed to unlock the full potential of artificial intelligence and find solutions to critical challenges across health, housing, technology and sustainability.”
“We challenge entrants to think big,” said Australian comedian and tech commentator Adam Spencer, who will be part of the selection panel. “Could we see an Australian large language model? New ways to uplift our health and wellbeing, or new ideas to address housing affordability?”
Competition winners will be announced at the Sydney SXSW Festival, held from October 15 to 16.
The total prize package is valued at approximately AU$1 million, including up to 200 billion AI tokens and mentorship to realise the winning idea. Applications to the competition will be accepted until September 30.
Don’t forget to follow us @INN_Australia for real-time news updates!
Securities Disclosure: I, Gabrielle de la Cruz, hold no direct investment interest in any company mentioned in this article.
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