
August 05, 2024
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”), an innovative digital healthcare company developing smartphone-based AI powered diagnostic tests for neurological disorders, is pleased to announce a new study to run in partnership with Monash University. The study will evaluate BlinkLab as a medical device able to monitor the therapeutic effects of ketamine on cognitive processes whereby sensory information is converted into decision making. In the future, results from this study can help facilitate cognitive behavioural therapy outcomes in patients with psychiatric conditions such as depression, schizophrenia, epilepsy, and post-traumatic stress disorder (PTSD).
Highlights
- Study provides a unique opportunity to discover the building blocks of cognition with the potential to transform our understanding of a range of clinical conditions including depression, schizophrenia, epilepsy, PTSD.
- Potential to demonstrate that drugs targeting glutamatergic neurotransmission can treat some aspects of psychiatric disease symptomology or improve the efficacy of cognitive behavioural therapy.
- Evaluates ability of BlinkLab tests to be used as a tool to measure pharmacological effects of existing and novel therapeutic agents.
Significance of the Study
Perceptual decision-making is a fundamental cognitive process where sensory information is transformed into meaningful interpretations of the environment, guiding our actions. This field has flourished through the integration of neuroscience and mathematical modelling , providing a robust framework for investigating the neural mechanisms involved. The core idea is that decisions are based on the accumulation of sensory evidence until a decision threshold is reached. These advancements offer a unique opportunity to uncover the fundamental components of cognition and have the potential to revolutionise our understanding of various clinical conditions. By characterising underlying mechanistic abnormalities, refining clinical classifications, and identifying intervention targets, this research holds promise for significant clinical advancements and new therapies for a variety of psychiatric and neurodevelopmental conditions.
The study, conducted by the School of Psychological Sciences at Monash University will investigate the impact of glutamate challenge on perceptual decision making (including behavioural performance, sensorimotor gating) by administering ketamine while participants perform a prepulse inhibition test using BlinkLab application.
The study will be able to demonstrate whether administration of ketamine can disrupt basic sensory encoding mechanisms, which will be detectable in reduced prepulse inhibition.
Study Design
The study will recruit up to 35 healthy adults between 18-55 years old. Each participant will complete 3 testing sessions after ketamine administration. Their participation is expected to take 4-5 weeks per subject.
Terms of the Collaboration Agreement (“Agreement”)
- Responsibilities: BlinkLab will provide access to its technology, data and shall facilitate the use of its platform during the term of the Agreement.
- Financial arrangements: None at the date of signing (to be determined via mutual agreement in the future and in a separate agreement).
- Intellectual Property: Each party will retain all right, title and interest in and to its background intellectual property (copyright, trademarks, designs, know how, patents, plant varieties, confidential information and all other intellectual property as defined in article 2 of the Convention establishing the World Intellectual Property Organization 1967). Any project IP (generated through the study) will be owned by Monash University.
- Term: Date of signature by the last party to sign (5 August 2024), until completion of the Research Project as communicated by Monash.
- Termination: Either party may terminate this Agreement by giving between 5 and 20 days written notice (at the terminating party’s election) to the other party if the other party commits a material breach of the Agreement and does not remedy that breach within 10 days after receiving notice requiring them to do so. Monash may terminate this agreement with immediate effect by giving written notice to BlinkLab.
- Confidentiality: Standard confidentiality terms for an agreement of this nature included.
This announcement has been approved by the Board of Directors.
Click here for the full ASX Release
This article includes content from Blinklab Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
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25 September 2024
BlinkLab Limited
Investor Insight
BlinkLab’s transformative AI-based healthcare technology is at the forefront of innovations in the global medical field that are quickly gaining traction among keen investors.
Overview
BlinkLab (ASX:BB1) offers a smartphone-based diagnostic platform that leverages computer vision, artificial intelligence (AI) and machine learning (ML). A company started by neuroscientists at Princeton University, Blinklab has developed its novel technology over several years, providing an app-enabled, smartphone-based diagnostic tool for evaluating children with neurodevelopmental conditions such as autism and ADHD.
The app turns a smartphone into a diagnostic tool that helps to conduct remote and rapid tests that can assist in diagnosing neurodevelopmental conditions. BlinkLab’s smartphone app provides a screening tool that can help with diagnoses much earlier than the age that children are typically assessed at present (approximately 5-6 years old). It is also a remote (i.e., accessible) and inexpensive means of beginning the assessment process, which can typically be very costly and take up to multiple years currently.
BlinkLab’s smartphone app facilitates early diagnosis, reduces costs, and improves accuracy.
BlinkLab’s smartphone-based technology, which uses AI and machine learning (ML), makes it attractive to investors. Like other industries, AI is becoming very popular in the healthcare sector. According to Statista, the AI healthcare market is expected to proliferate from $11 billion in 2021 to $187 billion in 2030. The increasing use of AI is driven by advanced ML algorithms, access to data, and use of 5G technology. AI and ML technologies can evaluate and analyze enormous volumes of data faster than humans.
Artificial intelligence, and particularly machine learning, has the potential to serve as the great equaliser for many behavioural healthcare concerns like autism. According to recent data, 97 percent of adults in the United States own a cellular device, and nine in ten own a smartphone. A 2022 Global State of Digital report by We Are Social shows 66.9 percent, or about 5.34 billion, of the world’s population are mobile users. As these percentages continue to rise and internet-powered devices become ubiquitous, access to digital health services can become democratised on a global scale. While autism spectrum disorder (ASD) services are currently restricted to relatively privileged populations, digital solutions powered by emerging data, science, and methodologies can make access to autism therapy more accessible.
Large players are investing in this segment to tap into the vast potential of these new technologies. One such example was Pfizer’s acquisition of ResApp. In October 2022, Pfizer acquired Queensland University startup ResApp Health for $179 million. ResApp developed a smartphone technology to detect respiratory diseases using cough analysis accurately.
Furthermore, big tech companies such as Apple, Amazon, Microsoft and Alphabet are also now venturing into the AI healthcare market.
Company Highlights
- Australia-based BlinkLab (ASX:BB1) is focused on transforming mental healthcare through an AI-enabled smartphone application, a breakthrough technology developed with Princeton University.
- The company’s innovative approach leverages the power of smartphones, AI and machine learning to deliver screening tests specifically designed for children as young as 18 months old. This marks a significant advancement, considering traditional diagnoses typically occur around five years of age, often missing the crucial early window for effective intervention.
- Once approved by regulators, this cutting-edge digital technology is poised to capture the imagination of both investors and major pharmaceutical companies, eager to embrace transformative solutions in healthcare.
- BlinkLab is led by an experienced management team and leading experts in the field of machine learning, autism and brain development, bridging the most advanced technological innovations with groundbreaking scientific research. The company is chaired by Brian Leedman, an experienced biotechnology entrepreneur and founder of ResApp Health, a digital diagnostic company recently acquired by Pfizer.
Key Technology and Applications
Neurobehavioral assays of brain function can reveal fundamental mechanisms underlying neuropsychiatric conditions, but typically require centrally located equipment in a laboratory test facility. Consequently, these tests are often unpleasant for participants, as they often require instruments attached to their face and cannot be used at scale in daily clinical practice, particularly with paediatric patients.
BlinkLab has developed a smartphone-based software platform, known as ‘BlinkLab Test’, to perform neurobehavioural testing that is free from facial instruments or other fixed location equipment.
This AI-based platform is designed to be used at home or in similarly comfortable environments, either independently or with the assistance of a caregiver, while following instructions from the smartphone application. The tests include, but are not limited to, eyeblink conditioning (EBC), which is a form of sensory-motor associative learning, prepulse inhibition of the acoustic startle response (PPI), which measures the ability to filter out irrelevant information through sensorimotor gating, startle habituation, which measures the ability for the intrinsic damping of repetitive stimuli and sensory adaptation, and habituation of the eye blink response, which serve as biomarkers for neurological and psychiatric disorders.
The BlinkLab Test App combines a smartphone’s ability to deliver stimuli and acquire data using computer vision with a secure cloud-based portal for data storage and analysis. In the tests, each audio and/or visual stimulus is presented with millisecond-precise control over parameters such as timing, amplitude and frequency. To maintain participant attention, an entertaining movie of choice is shown with normalised audio levels. Participants’ responses are measured by the smartphone’s camera and microphone, and are processed in real time using state-of-the art computer vision techniques. Response data is then fully anonymised, and transferred securely to the analysis portal. There, BlinkLab’s in-house AI/ML algorithms then perform clustering and statistical analysis to identify the prediction value of the experiment in the particular data set.
BlinkLab Test was initially developed as a prescription diagnostic aid to healthcare professionals (HCP) considering the diagnosis of ASD in patients 18 months through 72 months of age that are at risk for developmental delay. In collaboration with Princeton University in the United States and Erasmus Medical Center in the Netherlands, the company has conducted several trials using BlinkLab Test as an early assessment tool for autism. Autism represents a global challenge, with 1 in 36 children in the U.S. having autism, up from the previous rate of 1 in 44. With no early tests currently available to detect the condition, many children are diagnosed with the condition as late as the age of five.
Blinklab’s mobile app can aid in early detection, facilitating diagnoses as early as two years of age and resulting in earlier personalised interventions and monitoring. The testing process is also far more comfortable than traditional means of diagnoses, as the child can watch their favourite movie or cartoon on the phone, and the app will record their reactions, providing key information on the functioning of the brain.
BlinkLab will be subject to regulatory oversight as a medical device and must clear clinical studies. Previous clinical trials completed by Blinklab have shown impressive indicators of success, achieving sensitivity levels of 85 percent and specificity levels of 84 percent. The company notes that these trials are very similar to those that are required by the United States Food and Drug Administration (FDA) for approval and have shown much higher levels of accuracy compared to currently approved products.
In order for the BlinkLab Test technology to be used as a clinical aid in the diagnosis of ASD, BlinkLab will need to complete a pivotal registrational study, and subsequently apply for FDA registration and reimbursement for the tests. The registrational study intends to recruit up to 500 subjects. Enrolment for this study is expected to begin in 2024, with study completion expected by mid-2025. The potential to participate in a disruptive and scalable AI-powered technology close to regulatory approval should attract attention from big medical technology companies.
Research and clinical studies
BlinkLab engages and partners with research and medical institutions across the globe to further test and develop its technology.
In May 2024, BlinkLab initiated a clinical study in partnership with US-based Turning Pointe Autism Foundation to enroll up to one hundred children previously diagnosed with autism and one hundred children without an autism diagnosis. The data obtained during this collaboration will be used to finalise the data collection and processing algorithms and AI/ML models ahead of the FDA registrational study.
The company is also participating in a clinical study of patients with spinocerebellar ataxias, conducted by Columbia University, New York, to study the effect of aerobic physical exercise on neuroplasticity in adults with spinocerebellar ataxias (SCA).
To further improve and accelerate the diagnostic evaluation of ADHD, BlinkLab forged a major research and clinical partnership with Mental Care Group (MCG) in The Netherlands, the fifth largest outpatient mental health care provider in Europe.
To validate BlinkLab’s platform for the assessment of functional neurological disorder (FND), the company has partnered with Bates College in Maine for a clinical study that aims to characterise the behavioural time course of Pavlovian eyeblink conditioning and acoustic startle habituation. It will validate the BlinkLab smartphone test for use as a remote neurobehavioral testing and diagnostic tool for FND.
At Erasmus University Medical Center, BlinkLab’s smartphone-based remote assessment, including eyeblink conditioning and prepulse inhibition of the acoustic startle reflex, is being used, among other tools, in a clinical study to set-up an overarching at-home testing lab, named the Digital Dementia Lab, to identify, develop and test a variety of digital biomarkers
measuring clinically relevant behaviour for improving early accurate diagnosis of dementia.
BlinkLab is also working with Monash University in Australia to evaluate BlinkLab as a medical device for monitoring the therapeutic effects of ketamine on cognitive processes whereby sensory information is converted into decision making. Results from this study can help facilitate cognitive behavioural therapy outcomes in patients with psychiatric conditions such as depression, schizophrenia, epilepsy, and post-traumatic stress disorder.
BlinkLab also recently signed a partnership for more clinical trialling with INTER-PSY, a large centre in the Netherlands that specialises in autism, offering assistance with diagnostics and treatments. This study also mirrors the study design of the Company’s developing FDA regulatory trial, which will be needed for future approval of BlinkLab Test as an approved diagnostic tool in the United States.
Management Team
BlinkLab is led by an experienced management team and directors with a proven track record in building companies and vast knowledge in digital healthcare, computer vision, AI and machine learning. The company’s chairman, Brian Leedman, is an experienced biotechnology entrepreneur and founder of ResApp Health, a digital diagnostic company for respiratory conditions, which was recently acquired by Pfizer for $179 million before reaching FDA approval for their main diagnostic product.
Dr. Henk-Jan Boele – Founder and Chief Executive Officer
Henk-Jan Boele is an assistant professor of neuroscience at the Medical Center of Erasmus University and a researcher at Princeton University. He obtained his PhD from Erasmus University in 2014. Boele has always been pushing scientific and methodological boundaries, and received numerous government and industry grants in the field of neuroscience.
Peter Boele – Founder and Chief Technology Officer
Peter Boele holds a bachelor’s degree in history and philosophy from Leiden University. He has over 20 years of experience in software development and has worked with Erasmus University, Leaseweb, Kaboom Informatics and Insocial.
Dr. Anton Uvarov – Founder and Chief Operational Officer
Anton Uvarov holds a Ph.D. from the University of Manitoba and an MBA from the Haskayne School of Business. He has rich experience in bio-technology investments with a particular focus on neuroscience and has successfully led several IPOs. He started his career as a biotechnology analyst with Citigroup, US.
Dr. Bas Koekkoek – Founder and Chief Scientific Officer
Bas Koekkoek is an assistant professor at Erasmus Medical Center. Koekkoek has been working at the Department of Neuroscience mainly in the role of rapid prototype of new technology and techniques for neuroscience. He has numerous publications in the area of brain development including Nature and Science journals.
Professor Sam Wang – Founder and Chair of Advisory Board
Sam Wang holds a PhD from Stanford University. He is a professor of neuroscience at Princeton University, has published over 100 articles on the brain in leading scientific journals and has received numerous awards. He gives public lectures on a regular basis and has been featured in The New York Times, The Wall Street Journal, NPR, and the Fox News Channel.
Professor Chris de Zeeuw – Founder and Scientific Advisor
Chris de Zeeuw is chairman of the Department of Neuroscience at Erasmus MC in Rotterdam and vice-director at the Netherlands Institute for Neuroscience in Amsterdam. De Zeeuw has received over 100 grants, including the Pioneer Award from ZonMw and the ERC advanced grant. In 2006, he received the Beatrix Award for Brain Research from Her Majesty the Queen; in 2014, he became an elected member of the Dutch Academy of Arts & Science; and in 2018, he received the international Casella Prize for Physiology.
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US Autism Diagnostic Study Commences with First Child Tested
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28 March
Tech 5: CoreWeave IPO Falls Short, OpenAI Close to Completing US$40 Billion Funding Round
This week brought a fresh set of challenges to the tech sector, beginning with an announcement from the US Bureau of Industry and Security on Tuesday (March 25) of new export restrictions targeting 80 companies across Asia and the Middle East, impacting some of Big Tech’s key customers.
Consumer confidence weakened, further dampening market sentiment.
This was evidenced by the release of the Conference Board’s Consumer Confidence Index report on Tuesday, and the University of Michigan’s consumer sentiment survey, released on Friday (March 28).
Also on Friday, the latest US personal consumption expenditures price index data showed underlying inflation rising by 0.4 percent, renewing concerns over stagflation.
Combined, the latest data weighed on equities, and tech stocks led a broad market selloff on March 28 (Friday).
NVIDIA (NASDAQ:NVDA) ended the week 8.52 percent lower from its opening price on Monday (March 24), Meta Platforms (NASDAQ:META) logged losses of 6.22 percent and Microsoft (NASDAQ:MSFT) declined by 4.2 percent.
Meanwhile, Apple’s (NASDAQ:AAPL) share price pulled back by a modest 1.41 percent for the week.
Tesla (NASDAQ:TSLA) saw its price stage a bit of a recovery, ending the week 2.12 percent above Monday’s opening price, while other automotive companies like Ford Motor (NYSE:F) and General Motors (NYSE:GM) nursed losses following US President Donald Trump’s implementation of a 25 percent tariff on all auto imports.
Here's a look at other key events that made tech headlines this week.
1. BYD shares Q4 results, Tesla sentiment improves
BYD (OTC Pink:BYDDF,SZSE:002594), China’s top car brand, reported its fourth quarter results on Monday, with net profits totaling 15 billion yuan (US$2.1 billion), a 73.1 percent increase compared to the previous year, and revenue growth of 52.7 percent to 274.85 billion yuan (US$37.89 billion) for the same period.
Looking ahead, BYD expects to ship up to 5.5 million vehicles in 2025.
The company also said this week that 500 of the approximately 4,000 super-fast charging stations needed to support its electric vehicle (EV) infrastructure in China will be ready by April.
These projections from BYD come as rival EV maker Tesla staged a partial comeback this week after suffering a roughly 25 percent decline in its share price earlier this month.
Investor sentiment may have been lifted by analysis from CFRA Research analyst Garrett Nelson, who said Tesla is the “least exposed” to Trump’s sweeping 25 percent automobile tariffs, announced on Wednesday (March 26).
According to Nelson, Tesla, which builds its cars in the US, stands to benefit from a projected reduction in consumer choices coupled with an increase in the prices of foreign-made vehicles.
“There are very few winners,” Sam Fiorani, vice president of global vehicle forecasting for AutoForecast Solutions, said in an interview with Bloomberg. “Consumers will be losers because they will have reduced choice and higher prices.”
Analysts are projecting that Trump’s auto tariffs could severely impact the economy.
“I think yesterday’s [tariff announcement on automobiles] is a bigger deal than the market is making it out to be," Ajay Rajadhyaksha, global chairman of research at Barclays, told CNBC on Thursday (March 27). "I think it reduces the risk that April 2 is something that markets can dismiss," he added. "I think we will be negatively surprised."
2. Big Tech companies make AI advances
This week also saw significant advancements in artificial intelligence (AI) image generation and reasoning with the introduction of enhanced product offerings from some of Big Tech’s most prominent players.
OpenAI released 4o Image Generation to replace DALL-E 3 as the default image generation model for ChatGPT.
According to the company, the model can generate more realistic images than older image-generating models, as well as create lengthy, detailed, and precise text strings within images.
Meanwhile, Microsoft unveiled "deep reasoning agents" for 365 Copilot, powered by OpenAI's o1 and o3-mini models, featuring "agent flow" for enhanced reliability. Elsewhere, Google's (NASDAQ:GOOGL) DeepMind introduced Gemini 2.5 Pro, which it claims has superior reasoning capabilities over older iterations and competing models
3. CoreWeave downsizes IPO
CoreWeave's initial public offering (IPO) journey concluded on Friday, following significant market scrutiny.
The company initially filed for a New York IPO on March 3, targeting a US$4 billion raise and a valuation exceeding US$35 billion. Its filings revealed US$1.9 billion in 2024 revenue but also substantial debt and escalating net losses, reaching US$863 million. This expansion was fueled by US$14.5 billion in debt and equity financing.
On March 20, CoreWeave announced the launch of its IPO, registering 49 million Class A shares with a projected price range of US$47 to US$55. The company was aiming to raise up to US$2.7 billion in an offering led by Morgan Stanley (NYSE:MS), JPMorgan (NYSE:JPM) and Goldman Sachs (NYSE:GS), with 11 other advisers participating. Analysts at CNBC projected the deal would value CoreWeave at US$26.5 billion, although that figure could go as high as US$32 billion.
However, the company opted to decrease the size and price of its IPO, setting levels at US$40 per share for 37,500,000 shares, resulting in a valuation of approximately US$23 billion.
CoreWeave's lower IPO was due to a confluence of factors that dampened investor enthusiasm, including market conditions and financial concerns. A confidential investor survey reported by the Information found that 90 percent of respondents do not consider CoreWeave a favorable long-term investment.
“One respondent summed up a broader perception about CoreWeave: ‘It’s radioactive, and I think every investor knows that,’” market analyst Cory Weinberg wrote.
4. OpenAI revenue and funding rumors circulate
It was a big week for OpenAI, marked by reports on its expansion and projected financial growth.
According to a Wednesday report from the Information, OpenAI is exploring the construction of its first data center, which would be located in Texas near the Stargate data center site.
Concurrently, Bloomberg cited an anonymous source projecting OpenAI's revenue to potentially triple to US$12.7 billion this year and reach $29.4 billion in 2026, driven by its paid software plans. Additionally, reports surfaced of a record-breaking funding round worth US$40 billion led by Stargate co-contributor SoftBank Group (TSE:9984). The deal is reportedly near completion and would double OpenAI’s valuation, bringing it near US$300 billion.
These developments emphasize OpenAI's position as a dominant force in the AI landscape
5. Microsoft reportedly cuts data center plans
Shares of Microsoft closed down on Wednesday after an analyst note from TD Cowen alleged that the tech conglomerate had abandoned plans for new data centers in the US and Europe, citing potential oversupply.
According to Bloomberg, Google and Meta have taken over some of the affected leases, although neither company has responded publicly to the note. In a statement from Microsoft obtained by the publication, the company said “significant investments” have left it “well positioned to meet our current and increasing customer demand.”
“While we may strategically pace or adjust our infrastructure in some areas, we will continue to grow strongly in all regions,” the spokesperson said. “This allows us to invest and allocate resources to growth areas for our future.”
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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26 March
Global AI Stocks: 9 Biggest Companies in 2025
As the artificial intelligence (AI) market continues to grow, there are many AI stocks for investors to choose from on top exchanges like the NASDAQ, TSX and ASX.
AI technology has made strong inroads into several key industries, including logistics, manufacturing, finance, healthcare, customer service and cybersecurity.
The technology has been around for a long time, but this current wave of buzz comes after the release of OpenAI’s ChatGPT, a generative AI platform. This intelligent chatbot shows how quickly generative AI is advancing, and it has led to many other major tech firms entering the space with their own generative AI offerings or including AI technology into their innovative products.
On a global scale, Fortune Business Insights predicts that the AI industry will experience a compound annual growth rate of 29.2 percent between 2025 and 2032 to reach a market value of more than US$1.77 trillion.
Here the Investing News Network profiles some of the biggest AI stocks by market cap on US, Canadian and Australian stock exchanges. Data for this AI stocks list was gathered on March 20, 2025, using TradingView’s stock screener.
American AI stocks
According to Tracxn Technologies, the number of US AI companies has more than doubled since 2017, with over 84,950 companies working in the sector today.
One of the major factors fueling growth in the American AI market, states Statista, is “the growing investments and partnerships among technology companies, research institutions, and governments."
Below are three of the top US AI stocks by market cap. For more US AI stocks, check out our list of 12 generative AI stocks and 5 AI ETFs.
1. NVIDIA (NASDAQ:NVDA)
Market cap: US$2.89 trillion
Share price: US$118.53
The global leader in graphics processing unit (GPU) technology, NVIDIA is designing specialized chips used to train AI and machine-learning models for laptops, workstations, mobile devices, notebooks and PCs.
The company is partnering with a number of big-name tech firms to bring various key AI products to market.
Through its partnership with Dell Technologies (NYSE:DELL), NVIDIA is developing AI applications for enterprises, such as language-based services, speech recognition and cybersecurity.
The chipmaker has also been instrumental in the buildout of Meta Platforms’ (NASDAQ:META) AI supercomputer. Called the Research SuperCluster, it reportedly uses a total of 16,000 NVIDIA GPUs.
In early 2024, Taiwan Semiconductor Manufacturing Company (NYSE:TSM) and NVIDIA released the world's first multi-die chip specifically designed for AI applications: the Blackwell GPU. Blackwell’s architecture allows for the increased processing power needed to train larger and more complex AI models.
At its March GTC 2025 conference, dubbed the AI Woodstock, NVIDIA CEO Jensen Huang made a series of important announcements including the Blackwell Ultra AI chip and its next-generation Vera Rubin platform.
2. Microsoft (NASDAQ:MSFT)
Market cap: US$2.88 trillion
Share price: US$386.84
Microsoft has committed billions to OpenAI, but the tech behemoth has also built its own AI solutions based on the chatbot creator’s technology: Bing AI and Copilot. OpenAI officially licensed its technologies to Microsoft in 2020.
In late May 2024, Microsoft unveiled its Copilot+ Windows PCs, its first range of AI-equipped PCs. According to the company, they are the “fastest, most intelligent Windows PCs ever built.”
After receiving criticism over security flaws, Microsoft announced in late September that it had made changes to the Copilot+ exclusive Recall software, which used AI to create screenshots of everything users do on their computers.
An update to Windows 11 in October 2024 included upgrades to the Copilot artificial intelligence platform capabilities, including the introduction of the ability to speak directly to the AI helper.
Microsoft’s moves into generative AI have translated into higher revenues for its Azure cloud computing business and a higher market capitalization — the tech giant pushed past the US$3 trillion mark in January 2024 and its managed to maintain that level up until the recent stock sell-off as a result of tariffs and trade wars by US President Donald Trump.
In January 2025, Microsoft announced an US$80 billion investment in US-based AI infrastructure, followed by the integration of AI tools into Microsoft 365.
3. Alphabet (NASDAQ:GOOGL)
Market cap: US$2.0 trillion
Share price: US$162.80
Alphabet holds court with both Microsoft and NVIDIA as part of the tech sector’s Magnificent 7, and its foray into AI has similarly brought the tech giant much success. The company has created the AI chatbot Gemini, formerly known as Bard, which is integrated into products such as its Google Suite, the Chromecast browser and the Google Pixel phone line.
Alphabet's market cap surpassed the US$2 trillion mark in April 2024. That same month, Google introduced a custom AI chip designed for its cloud services customers. The technology uses British semiconductor company Arm Holding's (NASDAQ:ARM) AI architecture. In the same week, Google revealed its new A3 Mega AI processor based on NVIDIA’s H100 Technology.
In September 2024, Google partnered with automaker Volkswagen (OTC Pink:VLKAF,ETR:VOW) to launch a smartphone-app-integrated AI assistant for Volkswagen drivers.
At the NVIDIA GTC 2025 conference, Alphabet and NVIDIA announced a series of AI-focused partnerships in the sectors of robotics, drug discovery and manufacturing.
Canadian AI stocks
Recognized as a world-leading AI research hub, Canada ranks eighth out of 83 countries in the Global AI Index. Since 2017, the Canadian government has invested hundreds of millions of dollars into accelerating the research and commercialization of AI technology in the country through the Pan-Canadian AI Strategy.
Research by IBM (NYSE:IBM) shows Canadian businesses are increasingly adopting AI, with 56 percent of IT professionals in large enterprises reporting that they plan to increase deployment the technology in their operations for 2025.
Below are three of the top Canadian AI stocks by market cap. For more Canadian AI stocks, take a look at our list of 5 small-cap Canadian AI stocks.
1. CGI (TSX:GIB.A)
Market cap: C$33.31 billion
Share price: C$141.32
Montreal-based CGI is among the world’s largest IT systems integration companies, and offers a wide range of services, from cloud migration and digital transformation to data analysis, fraud detection and even supply chain optimization. Its more than 700 clients span the retail, wholesale, consumer packaged goods and consumer services sectors worldwide.
Through a partnership with Google, CGI is leveraging the Google Cloud Platform to strengthen the capabilities of its CGI PulseAI solution, which can be integrated with existing applications and workflows.
CGI is aggressively working to expand its generative AI capabilities and client offerings. In early March 2024, the company launched Elements360 ARC-IBA, an AI powered platform for brokers and insurers to settle accounts in the UK broking industry. Later in September, CGI signed the EU's Artificial Intelligence Act pledge to work for trustworthy and safe AI development.
The company's AI-powered CGI DigiOps toolkit won the Association of Chartered Certified Accountants (ACCA) India Award 2024 for Excellence in Digital Transformation in February 2025. CGI DigiOps is used in several industries, including the energy and utilities, and retail sectors. “This award for digital transformation excellence is a testament to our commitment to delivering end-to-end AI-powered solutions to achieve meaningful outcomes for our clients," Rakesh Aerath, President, CGI Asia Pacific Global Delivery Centers of Excellence.
2. OpenText (TSX:OTEX)
Market cap: C$9.94 billion
Share price: C$37.79
Ontario-based OpenText is one of Canada’s largest software companies. The tech firm develops and sells enterprise information management software. Its portfolio includes hundreds of products in the areas of enterprise content management, digital process automation and security, plus AI and analytics tools.
OpenText serves small businesses, large enterprises and governments alike. Its AI & Analytics platform has an open architecture that enables integration with other AI services, including Google Cloud and Azure. It can leverage all types of data, including structured or unstructured data, big data and the internet of things to quickly create interactive visuals.
In January 2024, OpenText launched Cloud Editions 24.1, which includes enhancements to its OpenText Aviator portfolio.
OpenText has also been expanding its AI-powered cybersecurity offerings in recent years. In early 2025, the company launched OpenText Core Threat Detection and Response, which leverages AI-driven behavioral analytics to detect insider threats and cyberattacks.
3. Coveo Solutions (TSX:CVO)
Market cap: C$553.97 million
Share price: C$5.57
Headquartered in Québec City, Québec, Coveo Solutions is a software-as-a- service company that provides AI-powered relevance e-commerce and enterprise search software in Canada, the United States and internationally. Relevance in AI involves learning models that determine the relevance between search input data and the expected output.
The company’s Coveo AI-Relevance Platform is used in a broad range of industries, including high tech, healthcare, manufacturing, financial services, retail, and telecommunication. Coveo’s many strategic partners include Salesforce (NYSE:CRM), Adobe (NASDAQ:ADBE) and Shopify (TSX:SHOP,NYSE:SHOP).
In its fifth annual Commerce Relevance Report, Coveo found that 62 percent of 4,000 US and UK consumers surveyed responded that they are more likely to make purchases based on generative-AI-driven guidance. Drilling down on millennials, that figure rises to 68 percent.
In February, Coveo reported its financials for its fiscal Q3 2025 ended December 31, 2024, including total revenues of US$34 million compared to US$31.8 million in its fiscal Q3 2024.
In March, Coveo announced the launch of three new offerings for its customers: Coveo for Agentforce, an expanded suite of Coveo APIs and the Coveo Agentic AI Design Partner Program.
Australian AI stocks
AI investment by Australian companies is projected to increase, according to BSI's International AI Maturity Model, making the country the second best market in the world in terms of boosting AI capabilities. BSI reports that three-quarters of Australian business leaders responding to the firm's survey expressed the belief that failing to invest in AI would place their organizations at a competitive disadvantage.
The biggest spenders when it comes to AI in Australia are the banking industry, the federal government, professional services and retail.
Below are three of the top Australian AI stocks by market cap. For more ASX AI shares, check out our list of the 5 biggest ASX AI stocks.
1. NextDC (ASX:NXT)
Market cap: AU$8.23 billion
Share price: AU$22.93
NEXTDC is Australia’s leading data center operator, with facilities currently operational or under development throughout Australia. The company also has data centers under development in New Zealand, Malaysia and Japan. The company is the 2024 recipient of the Australian Data Centre Service Company of the Year award.
NEXTDC’s clients include some of the world's largest cloud providers, such as Amazon (NASDAQ:AMZN) Web Services, Microsoft Azure, and Alphabet's Google Cloud. The company has also obtained NVIDIA's DGX-Ready Data Centre Program certification, enabling it to optimize NVIDIA's AI platforms and power advanced AI data centers in Australia.
In its financial report for its fiscal H1 2025 ended December 31, 2024, the company reported total revenue of AU$205.5 million, a slight decrease of 2 percent from the same period in the year prior. However, its net revenue was up 13 percent to AU$167.8 million.
2. Nuix (ASX:NXL)
Market cap: AU$1.06 billion
Share price: AU$3.39
Sydney-based Nuix is a leading provider of data processing, investigative analytics and intelligence software. Its client base includes legal, compliance, forensic investigations, cybersecurity and data governance sectors.
The company’s patented Nuix Neo technology uses advanced deep learning techniques to better train AI models for more efficient, scalable and cost-effective document classification. Launched in July 2023, Nuix Neo is accessed through a browser-based, collaborative interface, and includes end-to-end automation, investigative analytics and AI-enabled workflows.
In its H1 fiscal year 2025 financials, Nuix reported that annualized contract value for Nuix Neo grew to AU$18.9 million, an increase of 361 percent compared to the prior corresponding period, as its customers grew from 8 to 46 over the same period.
3. BrainChip (ASX:BRN)
Market cap: AU$450.91 million
Share price: AU$0.22
BrainChip is an advanced Edge AI on-chip processing and machine learning hardware company. Its main product is the Akida digital neuromorphic chip, which is built with a spiking neural network that mimics the way messages are passed between neurons in the human brain.
A significant feature of Akida’s technology is that it doesn’t need to be connected to the cloud or other networks to learn, enhancing security.
In December 2024, Brainchip announced it had licensed the Akida IP to Frontgrade Gaisler, a leading provider of radiation-hardened microprocessors for space applications. The following month, the company introduced an ecosystem of partnerships developing around its Akida Edge AI Box, which the company describes as “a compact, cost-effective appliance with AI/ML processing power for a wide variety of markets such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation.”
At the end of February 2025, Brainchip shared it was formally investigating redomiciling in the US following a strategic review by its Board. If it decides to go forward with the move, the company would pursue listing on a US stock exchange, and de-list from the ASX and OTCQX.
FAQs for AI stocks
Which company is leading the AI race?
Google and Microsoft are battling it out for king of the AI hill. While Goldman Sachs sees Alphabet’s Google as leading the AI race, other analysts are pointing to Microsoft as the clear frontrunner. Microsoft stands to benefit in a big way from its billions of dollars investment in OpenAI's ChatGPT as advancements in generative AI may have the potential to increase the company's revenues for its Azure cloud computing business.
Which country is doing best in AI?
North America is the global hotspot for advancements in AI technology and is home to the majority of the world’s largest AI providers. Techopedia positions the US as the primary hub for AI development, and many of the world’s leading tech giants are headquartered there. According to the report, China comes in a close second.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
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26 March
RocketBoots Partners with Global POS Software Vendor to Drive Customer Markets Penetration
Artificial Intelligence software company, RocketBoots Limited (ASX:ROC) (RocketBoots or the Company), is pleased to announce the signing of a partnership agreement with global point-of-sale (POS) vendor, GEBIT Solutions GmbH (Gebit).
Highlights
- RocketBoots signs a partnership deal with Gebit Solutions, a global point-of-sale software vendor, as a preferred supplier of loss prevention solutions
- Gebit operates in over 32 countries and have the same retail customer target market as RocketBoots
- The partnership aims to drive international market penetration by leveraging RocketBoots’ unique AI-powered retail computer vision software into mutual customer markets.
Partnership with Gebit Solutions
RocketBoots has partnered with German-based Gebit Solutions as a preferred supplier of loss prevention solutions for its global retail customers. Gebit provides best-in-class retail POS software to customers across more than 32 countries, including some of the largest retail providers globally (https://www.gebit.de/en/homepage). Under the partnership, Gebit will support an out of the box integration with RocketBoots' loss prevention software which will allow all existing and new Gebit customers to easily test and adopt the loss prevention software.
The partnership aims to deliver a number of strategic outcomes for RocketBoots:
- Accelerating the timelines from first contact to customers achieving value from RocketBoots software
- Providing enhanced visibility of RocketBoots’ value propositions across target customer markets; and
- Collaborative lead generation.
RocketBoots has commenced discussions with Gebit across a number of customer groups, some of which are new prospects, while others where advanced discussions are in train. The Company believes the partnership collaboration can assist with progression to contract.
Click here for the full ASX Release
This article includes content from Rocketboots Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
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21 March
Tech 5: CoreWeave Sets IPO Date, Google to Acquire Wiz
The tech landscape presented a dichotomy this week: company growth juxtaposed with market volatility over concerns that US President Donald Trump’s tariffs could upend global trade and lead to a recession.
“Inflation has started to move up,” US Federal Reserve Chair Jerome Powell said after a two day meeting that culminated in the interest rate target remaining between 4.25 and 4.5 percent.
“There may be a delay in further progress over the course of this year,” he added.
Despite those comments, Powell disputed a survey released this week from the University of Michigan that indicates a significant rise in long-term inflation expectations.
Wall Street witnessed a tech stock downturn mid-week that impacted all major players. Meta Platforms' (NASDAQ:META) decline on Wednesday (March 19) finalized year-to-date losses for all the so-called “Magnificent Seven.”
Amid this economic flux, innovation continued to forge ahead.
On Sunday (March 16), the Information reported on a 4.5 gigawatt power acquisition deal between Engine No. 1 and Crusoe, an energy startup backed by NVIDIA (NASDAQ:NVDA). Under the terms of the agreement, Engine No. 1 will fund the installation of aero-derivative gas turbines provided by GE Vernova at Crusoe's data centers. This significant energy deal highlights the drive for artificial intelligence (AI) infrastructure development, even as market dynamics shift.
Beyond these major developments, the week also saw acquisitions, partnerships, valuation adjustments and the latest update on a highly anticipated initial public offering (IPO), reflecting the tech sector’s dynamic and ever-evolving nature.
Here's a look at other key events that made tech headlines this week.
1. NVIDIA shares AI advances at GTC event
NVIDIA's annual GTC conference showcased the company's aggressive AI push, with CEO Jensen Huang unveiling Blackwell Ultra, the next lineup of chips, and platforms designed to power the next generation of AI applications.
The event, while demonstrating NVIDIA's technological leadership, coincided with share price volatility.
Before Huang’s keynote speech on Tuesday (March 18), Amazon (NASDAQ:AMZN) announced price cuts on its competing AI chips, resulting in a slight dip in NVIDIA's share price.
Conversely, quantum computing stocks like D-Wave Quantum (NYSE:QBTS) and Quantum (NASDAQ:QMCO) experienced surges ahead of the speech, reflecting the overall excitement surrounding AI's potential.
Huang highlighted major partnerships in sectors like automotive and entertainment, as well as a significant focus on robotics. Investor enthusiasm for robotics has been heightened in Q1, with experts eyeing robotics as the next major growth area. This aligns with NVIDIA's own strategic focus on humanoid robots and related technologies.
NVIDIA ended the week down 4.15 percent.
2. Google inks partnership for AI chip strategy
Google (NASDAQ:GOOGL) is reportedly partnering with Taiwan's MediaTek (TPE:2454) on a newer version of Google’s AI tensor processing units (TPUs), which are scheduled for production next year.
According to the Information individuals involved in the project say Google will continue its working relationship with its longtime AI chip partner Broadcom (NASDAQ:AVGO). A Broadcom employee confirmed this report, adding that Google’s deal with MediaTek stems from MediaTek’s lower charges and its longstanding relationship with global chip production leader Taiwan Semiconductor Manufacturing Company (NYSE:TSM).
TPUs are essential to Google's AI strategy, powering both its internal AI research and the AI services provided by the Google Cloud Platform. These chips are deeply integrated into Google's software and services, allowing for highly optimized performance for Google's specific AI workloads. For example, TPUs are used extensively within Google's search infrastructure and for their large language models.
TPUs are designed with a strong focus on the types of computations that Google's AI models perform. This specialization allows for very high efficiency in those specific workloads. Google makes TPUs available through its Google Cloud Platform, which allows other developers and researchers to access this specialized hardware.
TPUs are deeply integrated into Google's software and services and are essential to Google’s AI strategy. They power both its internal AI research and the AI services provided by the Google Cloud Platform. Amping up production will allow Google to provide TPUs to other companies, as well as for its own internal projects.
3. CoreWeave sets date for IPO
CoreWeave announced the launch of its IPO on Thursday (March 20), filing a registration to offer 49 million shares of its Class A common stock to the public and existing shareholders.
The shares will be priced between US$47 and US$55 each.
According to the filing, the company is seeking to raise up to US$2.7 billion through the offering. Analysts at CNBC project CoreWeave will be valued at US$26.5 billion, although that figure could go as high as US$32 billion. Sources for Bloomberg say the IPO, which is scheduled for March 27, is oversubscribed.
The IPO is being led by Morgan Stanley (NYSE:MS), JPMorgan (NYSE:JPM) and Goldman Sachs (NYSE:GS), with 11 other advisers participating. CoreWeave’s shares will trade on the Nasdaq under the symbol CRWV.
4. Google to acquire Wiz, strengthening cloud security offerings
Google has agreed to buy cybersecurity startup Wiz for US$32 billion in cash, the company said on Tuesday.
The acquisition will significantly enhance Google's Cloud platform by allowing the company to offer a more comprehensive and robust security solution to its clients. Wiz's platform, which is designed to operate seamlessly across multiple cloud environments, addresses the needs of modern businesses that often utilize a multi-cloud strategy.
Notably, this was Google’s second attempt to acquire Wiz, having offered the firm US$23 billion in July 2024. The deal ultimately fell through, with Wiz saying it would pursue an IPO instead.
Google’s persistence underscores the growing importance of cybersecurity in the digital landscape. As businesses increasingly migrate their operations to the cloud, the need for effective cybersecurity measures that can span multiple cloud platforms becomes crucial.
5. Perplexity AI eyes major funding round
Perplexity AI, an AI search engine startup competing with Google, is reportedly in early discussions to raise between US$500 million to US$1 billion in a new funding round. An anonymous source for Bloomberg who is familiar with the matter confirmed the potential deal, adding that it would double the company’s valuation to US$18 billion.
The potential funding round comes at a time when Perplexity AI is experiencing notable growth and traction in the competitive market. The company has secured significant support from prominent investors, including SoftBank Group's (TSE:9984) Vision Fund 2, Nvidia and Jeff Bezos, and its valuation has tripled twice in the previous year. According to a source, the company's current annual recurring revenue is close to US$100 million.
While the funding round is still in its early stages and subject to change, the potential doubling of Perplexity AI's valuation highlights the growing interest in and recognition of the company's disruptive potential. As users become increasingly concerned about data privacy, algorithmic bias, and the dominance of a single search provider, Perplexity AI's focus on transparency, user control and ethical AI practices may be resonating with a growing segment of the market.
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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20 March
AWS Strategic Partnership & Equity Raising
Decidr AI Industries Ltd (ASX: DAI) (“the Company”), is pleased to announce that Decidr.ai Pty Ltd (“Decidr”) has engaged in a multi-part strategic partnership with Amazon Web Services (“AWS”) to accelerate AI-powered business transformation and the adoption of Decidr Agentic technology.
AWS will serve as Decidr’s core cloud infrastructure provider, enabling seamless AI Agent deployment, data intelligence, and process automation for businesses worldwide. This partnership will also introduce Decidr’s AI Business Operating System to the AWS Marketplace, making it easier for businesses to adopt AI solutions that drive operational efficiency.
Decidr is also pleased to announce alongside this strategic partnership, it is undertaking an equity raising by way of a non-underwritten A$10m Placement of approximately 13.2 million new fully paid ordinary shares in Decidr (“Equity Raise”) to support ongoing growth.
Highlights
- Decidr partners with AWS, designating AWS as its core cloud provider to accelerate AI-driven business transformation.
- Decidr to launch on AWS Marketplace, expanding accessibility for businesses seeking AI-powered automation with collaboration on go-to-market activities.
- Decidr selected for AWS APJ FasTrack Academy, an invite-only accelerator program designed to fast-track AWS Partners’ integration and co-sell readiness.
- Integration of AWS’s latest AI advancements into Decidr Agentic Software, including selected components of Amazon Nova, to enhance Decidr’s core AI capabilities and offer to customers.
- Launch of Decidr + AWS Startups Venture Studio, providing funding and AWS Activate Credits to help in the development of AI-first businesses.
- ~A$10m non-underwritten placement to support ongoing growth
- Proceeds from the Equity Raise will be used to find working capital to expand existing customer base and scale contracts, growth capital to acquire new partners and expand into the US, and to invest in technology.
Decidr and AWS Partnership
Following an extensive selection process, Decidr has appointed AWS as the company's core cloud infrastructure provider, enabling seamless AI deployment, data intelligence, and process automation for its core systems.
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally to over 5 million businesses.
This partnership will also introduce custom Decidr + AWS cloud and LLM configurations using Amazon Nova for customers on Decidr’s Agentic Onboarding Studio. This specialised configuration will be available on the AWS Marketplace, making it easier for companies to adopt Agentic solutions.
Key Components of the Partnership
1. AWS as Decidr’s Global Cloud Provider: Enabling AI-driven business intelligence, automation, and data processing at scale.
2. Partnership to create a federated cloud and LLM setup for businesses using Decidr, offering the scale, flexibility and security of AWS with new Agentic agent development tools from Decidr.
3. Enhancements Using AWS LLM Technologies: Decidr will leverage elements of Amazon Nova to enhance specific AI-driven business solutions, including direct to customer and partner Agentic Agent deployments.
4. AWS Marketplace Launch and coordinated Go-to-Market motions: Decidr’s solutions will be available on the AWS Marketplace, simplifying adoption for businesses worldwide. Both parties will collaborate on events, case-studies and other promotional activities.
5. Decidr + AWS Startups Venture Studio: A joint initiative providing AI-native businesses with Decidr grant funding, AWS Activate Credits, and mentorship to scale their AI-first businesses.
David Brudenell, Executive Chairman of Decidr, commented:
“Our mission is to simplify AI adoption and help businesses scale with intelligence-driven automation. Partnering with AWS allows us to bring this vision to life at an unprecedented scale. Through the AWS Marketplace and our AI Startups Venture Studio, we are enabling companies to access AI-powered solutions and accelerate their transformation.”
Decidr Accepted into AWS APJ FasTrack Academy
Decidr has also been selected to participate in the AWS APJ FasTrack Academy, an invite- only global accelerator program designed to help AWS Partners fast-track integration, co- sell readiness, and enterprise expansion. This prestigious program provides direct support from AWS technical teams, priority onboarding to AWS Marketplace, and inclusion in AWS’s Co-Sell and Partner Programs, significantly enhancing Decidr’s ability to scale and engage with enterprise and SME customers.
Key Benefits of the Program:
- Expedited Growth Path: Accelerated onboarding to AWS’s partner ecosystem.
- Enhanced Support & Guidance: Structured curriculum, live enablement sessions, and access to AWS technical expertise.
- AWS Marketplace Optimisation: Streamlined onboarding to ensure maximum discoverability and engagement.
- Go-to-Market Readiness: Hands-on support to integrate Decidr’s AI solutions into AWS’s co-sell and partner programs.
Past FasTrack Academy AWS accelerator participants such as Leonardo AI, Perplexity AI, Hugging Face, and Stability AI have successfully scaled their AI solutions globally with AWS, and Decidr’s inclusion in the program will significantly assist in scaling its technology and Agentic business solutions globally.
Click here for the full ASX Release
This article includes content from Decidr AI Industries, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
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