The Conversation (0)
Description:
Privately owned research and corporate finance firm Lodge Partners recommends a ‘speculative buy’ for BlinkLab’s (ASX:BB1) autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) diagnostic app.
Lodge Partners’ initial research report also valued BlinkLab at $1.30 using a future and probability-weighted discounted cash flow model.
“We assume BB1’s app has a better than even chance to be commercialised due to having a predicate device on the market and the data on hand. We further assume a minimal penetration rate in the first few years before rising to 10 percent of the diagnostic market by 2031 and pricing of US$250/test,” the report said.
“Similarly, we assume BB1 will penetrate 10 percent of the ADHD diagnostic market by 2031. Using a 15 percent discount rate we find BB1 with a valuation of $1.30/share. This valuation is only based on the US market and has significant upside should we include (the) rest of world.”
BlinkLab’s technology
BlinkLab’s technology for detecting ASD and ADHD targets children from 18 months of age to 72 months. Automated facial recognition and image processing techniques analyse the data and test for several biomarkers which give an indication of the child having ASD or ADHD with high sensitivity and specificity.
Highlights of the Report
- Closest competitors, Cognoa and EarliTec Diagnostics, have measured lower sensitivity and specificity of 52 percent/19 percent and 71 percent/81 percent, respectively.
- The ASD diagnostic market is estimated to grow at a CAGR of 8 percent annually and potentially grow to US$5.4bn by 2036.
- The earlier and faster a child can be diagnosed will lead to better outcomes and it is currently an unmet need.
For the full analyst report, click here.
This content is intended only for persons who reside or access the website in jurisdictions with securities and other applicable laws which permit the distribution and consumption of this content and whose local law recognizes the scope and effect of this Disclaimer, its limitation of liability, and the legal effect of its exclusive jurisdiction and governing law provisions [link to Governing Law section of the Disclaimer page].
Any investment information contained on this website, including third party research reports, are provided strictly for informational purposes, are general in nature and not tailored for the specific needs of any person, and are not a solicitation or recommendation to purchase or sell a security or intended to provide investment advice. Readers are cautioned to seek the advice of a registered investment advisor regarding the appropriateness of investing in any securities or investment strategies mentioned on this website.
BB1:AU
AI Market Update: Q2 2025 in Review
While the race for compute, energy, hardware and supply chain dominance intensified, talk of tariff policies reigniting inflation or contributing to stagflation created brief periods of contraction.
Concerns also grew around AI-driven job displacement, amplified by Anthropic CEO Dario Amodei’s ominous warning that AI could eliminate up to half of all entry-level white-collar jobs within the next five years.
On a more positive note, the S&P 500 (INDEXSP:.INX) and Nasdaq Composite (INDEXNASDAQ:.IXIC) both ended Q2 up by 0.5 percent, closing the first half of 2025 at all-time highs with gains of 5.5 percent.
That said, investor enthusiasm for AI is showing early signs of recalibration.
Big Tech delivered generally robust Q2 earnings despite initial volatility in April, but posted only modest year-to-date gains, suggesting near-term caution around richly valued growth names. Meanwhile, quantum computing, which NVIDIA (NASDAQ:NVDA) CEO Jensen Huang said was decades away just six months ago, made measurable progress in Q2, drawing attention from both deep-tech investors and national governments.
McKinsey’s annual Quantum Technology Monitor projects that quantum computing, communication and sensing could generate up to US$97 billion in global revenue by 2035, with quantum computing leading the way.
Not surprisingly, AI companies performed well. Thirty-eight AI stocks chosen by Morningstar — including Palantir Technologies (NASDAQ:PLTR), Palo Alto Networks (NASDAQ:PANW), Synopsys (NASDAQ:SNPS) and Micron Technology (NASDAQ:MU) — closed 27.3 percent higher, outpacing the Morningstar US Technology Index, which gained 22 percent.
Ultimately, the quarter underscored a strategic pivot for major tech players, prioritizing vast infrastructure investments alongside aggressive AI monetization efforts to capitalize on this transformative era.
AI results impact major tech players
In public markets, AI-related equities continued to attract attention.
NVIDIA posted another blockbuster quarter, with its market cap on the cusp of $US4 trillion at the end of June. Its performance was driven largely by demand for Blackwell architecture.
Alphabet (NASDAQ:GOOGL), facing a possible Chrome divestiture, reported an increase in AI-related ad revenue and highlighted growing adoption of its Gemini model suite. Amazon (NASDAQ:AMZN) reported a 23 percent annual increase in net sales from its Amazon Web Services segment, beating earnings estimates by 17.78 percent.
Meta Platforms' (NASDAQ:META) Reality Labs division reported a $US4.2 billion operating loss; however, interest in embodied AI applications for the metaverse and augmented reality continue to be the company’s long-term play, with CEO Mark Zuckerberg poaching the industry’s top talent to assemble the Meta Superintelligence Lab. On July 7, Reuters reported that the company had added Apple's (NASDAQ:AAPL) Ruoming Pang as its latest recruit.
Microsoft's (NASDAQ:MSFT) OpenAI partnership faced issues after OpenAI bought Windsurf, an AI coding firm. Disputes arose over Microsoft’s access to WindSurf’s IP and its stake in a restructured OpenAI.
Q2 was also marked by a shift to AI in hardware, robotics and edge applications.
Chipmakers Advanced Micro Devices (NASDAQ:AMD) and Google introduced specialized AI accelerators, a potential challenge to NVIDIA's nearly three year run as the dominant provider.
Notable developments in robotics included Google Cloud and Samsung Electronics' (KRX:005930) partnership, integrating Google Cloud's advanced generative AI technology into Samsung's new home AI companion robot, Ballie.
Data center operators like Amazon Web Services and Google Cloud also increased their infrastructure investments in the US as part of an effort to reduce reliance on foreign markets and secure long-term AI compute capacity.
Companies began testing or rolling out new AI agent capabilities, empowered by the Model Context Protocol from Anthropic. Major tech players, along with payment giants Visa (NYSE:V), Mastercard (NYSE:MA), Stripe, Block (NYSE:SQ) and PayPal (NASDAQ:PYPL), began adopting the Model Context Protocol to integrate seamless payment functionality directly into AI chatbots, moving beyond simple browse to full commerce.
Microsoft enhanced its GitHub Copilot offering with new coding agents capable of autonomous actions, while a handful of companies, including Dataiku, Databricks and Atlassian (NASDAQ:TEAM), introduced tools designed to build, deploy and manage autonomous systems for real-world enterprise applications.
On the quantum computing side, a paper published by researcher Craig Gidney for Google’s Quantum AI division suggests that a quantum computer could break a highly secure 2048 bit encryption, like the kind used for online banking, much faster than previously thought, requiring fewer than a million qubits.
Quantum computing firms later saw their shares spike following bullish comments from NVIDIA's Huang at his company’s Paris GTC conference. Before Huang’s comments, IBM (NYSE:IBM) announced its development of the world's first large-scale, error-free quantum computer, set to launch by 2029.
AI trends to watch in Q3
Q2 confirmed the AI cycle is evolving beyond text-based chatbots to hardware, embodiment and commercial uses.
While the Magnificent Seven still largely drove returns in Q2, there's an expectation that earnings growth will broaden out to other sectors. Picton Investments' 2025 mid-year update suggests that foundational model growth is encountering headwinds, with competition challenging the need for extensive capital expenditure.
Graph indicating that investor enthusiasm for AI stocks has recently "lost altitude."
Graph via Picton Investments.
However, the firm also suggests that this shift is redirecting the spotlight to real-world AI applications, leading to an expected acceleration of industrial adoption and the creation of new companies.
At this year’s Web Summit conference in May, panelists emphasized the critical role of strategic early stage investments when it comes to navigating the evolving AI landscape and identifying new opportunities.
“Our take is (that) AI is going to upend a lot of technology businesses. In the specific sense, I am of increasingly high conviction that authoring software is going to be more or less free, and that's going to shake up the topology of the software business market (in terms of) what makes sense and what's investable,” said Brett Gibson, managing partner at Initialized Capital, during a panel discussion on where AI investment is headed next.
He added that customizable software will ultimately allow for tailored solutions for virtually any need.
In H2, quantum computing could continue its shift from pure research into early stage commercialization.
Updates may come from firms like IonQ (NYSE:IONQ), which recently raised US$1 billion to expand quantum networking, as well as Quantinuum and PsiQuantum, which may reach technical milestones.
Meanwhile, D-Wave (NYSE:QBTS) is pivoting toward hybrid commercial models, which may offer continued proof of revenue from quantum optimization-as-a-service.
However, the outcome of ongoing trade negotiations between the US and the rest of the world could impact chip capacity and rare earths supply chains, constraining the growth of AI hardware stocks.
The Trump administration’s imposition of 25 percent tariffs on Japan and South Korea may pose a threat to semiconductor capacity and rare earths equipment imports critical for AI hardware.
“Both countries have been close partners on economic security matters and have a lot to offer the United States on priority matters like shipbuilding, semiconductors, critical minerals and energy cooperation,” Asia Society Policy Institute vice president Wendy Cutler said in response to the hikes.
Investor takeaway
The second quarter of the year confirmed an evolution in the AI landscape as the industry moves beyond theoretical discussions to real-world applications and critical infrastructure development.
While geopolitical tensions and concerns about job displacement may continue to present challenges, this pivot could set the stage for continued innovation and adaptation as the industry navigates both opportunities and complexities.
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.
Tech 5: US Lifts EDA Restrictions for China, Apple Explores Third-party AI for Siri
However, tech stocks boosted the performance of both Canadian and US markets on Wednesday (July 2) and Thursday (July 3) after export restrictions to China were lifted and the US labor market reported better-than-expected unemployment data.
US markets were closed on Friday (July 4) for a holiday, while Canadian markets ended the day slightly positive.
1. Meta announces AI restructure, continues talent acquisition
Last weekend, reports surfaced that Meta Platforms (NASDAQ:META) has hired four additional researchers from OpenAI, bringing the total number of high-profile AI talent poached from other tech labs to 13, according to an X post from former Scale AI CEO Alexandr Wang, who was recently recruited as Meta’s Chief AI Officer.
Then, in an internal memo to employees on Monday, Meta CEO Mark Zuckerberg unveiled the company was restructuring its AI division under the name Meta Superintelligence Labs. According to the memo, which was reviewed by Bloomberg, the new division will be led by Wang and one of its commitments is "developing AI 'superintelligence' or systems that can complete tasks as well as or even better than humans."
Meta has reportedly offered researchers contracts and signing bonuses worth up to US$100 million; however, Chief Technology Officer Andrew Bosworth has pushed back on those reports, claiming the figures are inflated.
Helen Toner, a former OpenAI board member and director of strategy at Georgetown’s Center for Security and Emerging Technology, told Bloomberg TV on Thursday that Meta’s bid to become an AI leader would be “difficult” considering its track record of internal dysfunction and questions around the return on its massive talent spending.
“Meta has started to get a reputation of having a little bit of a dysfunctional AI team, not really having its organizational structure set up in a way that really lets them succeed and innovate. And what I think we're seeing here is CEO Mark Zuckerberg really stepping in and saying, well, we have to do something differently. We need a big new push, we need a big new effort," she said.
"I think (Meta is) really trying to start something new, to pour enormous amounts of financial resources into that. So the question (to watch) is six months from now, 12 months from now, is that paying off for them?"
2. Apple considers third-party AI for Siri overhaul
Apple (NASDAQ:AAPL) is reportedly in active discussions with Anthropic and OpenAI to integrate their foundation models into an overhauled version of its voice assistant Siri, a significant pivot from the company’s in-house approach to AI.
According to people familiar with the discussions who spoke to Bloomberg, Apple has asked both companies to train versions of their models that could be tested on Apple’s infrastructure, the publication reported Monday.
Apple announced plans to release a new version of its voice assistant at its Worldwide Developers Conference in 2024. The release was slated for 2026, but the company has run into multiple engineering snags and delays, and ultimately replaced John Giannandrea with Mike Rockwell as the new Siri chief executive.
Rockwell and software engineering head Craig Federighi launched an evaluation, instructing staff to assess Siri’s performance using third-party tech, including Anthropic's Claude, OpenAI's ChatGPT and Alphabet's (NASDAQ:GOOGL) Gemini. According to Bloomberg's sources, the team found Anthropic’s technology most promising for Siri, leading Apple’s vice president of corporate development to open discussions with Anthropic.
Bloomberg’s sources maintain that the development of an in-house model is still active, and Apple hasn't made a final decision on using third-party models.
Apple performance, June 30 to July 3, 2025.
Chart via the Investing News Network.
Apple shares closed up 6.24 percent for the week.
3. Oracle and OpenAI ink massive computing deal
OpenAI will rent roughly 4.5 gigawatts of computing power from Oracle (NYSE:ORCL) as part of the Stargate Project, according to sources for Bloomberg. The news follows a US$30 billion single cloud deal announced on Monday with an unnamed customer. The Stargate energy deal is reportedly a component of that larger contract.
Sources added that Oracle will develop multiple data centers in the US, considering sites in Texas, Michigan, Wisconsin and Wyoming, and that the company will expand its recently built center in Abilene, Texas, to accommodate about two gigawatts of power capacity.
Oracle performance, July 1 to July 3, 2025.
Chart via the Investing News Network.
This collaboration underscores the escalating demand for high-performance computing necessary to train and operate advanced AI models. OpenAI, a leader in AI research and development, requires immense computational resources to fuel its projects, including large language models and other sophisticated AI applications.
The Stargate initiative positions Oracle as a crucial enabler of this next generation of AI innovation, solidifying its role in the evolving cloud and AI ecosystem. The long-term implications of this partnership could see a significant shift in how AI companies acquire and manage their computational infrastructure, potentially paving the way for more dedicated and extensive cloud partnerships in the future.
4. CoreWeave deploys first Nvidia GB300-powered AI server
CoreWeave (NASDAQ:CRWV) said it has received the first AI server system built around NVIDIA's (NASDAQ:NVDA) ultra-powerful GB300 Grace Blackwell AI chip.
The server is deployed within Dell Technologies' (NYSE:DELL) integrated rack-scale system — a turnkey AI infrastructure platform combining compute, networking and cooling — and features 72 of Nvidia’s GB200 chips.
CoreWeave said it will install the cutting-edge hardware in the US and roll out more servers over time. The company will offer the server as part of its AI cloud platform, allowing clients like OpenAI to train and deploy massive, next-generation AI models with faster speeds and greater efficiency.
In the announcement, CoreWeave claimed the NVIDIA GB300 NVL72 significantly boosts AI reasoning performance, offering a 10 times improvement in user responsiveness and five times better throughput per watt than the Hopper server. This translates to an increase of fifty times in reasoning model inference output, enabling faster, more complex AI models.
5. US lifts EDA software export restrictions to China
License requirements for design software sales in China were lifted this week as part of a trade deal between the US and China. On Wednesday, the US Department of Commerce told Synopsys (NASDAQ:SNPS), Cadence Design Systems (NASDAQ:CDNS) and Siemens (XETR:SIE), three of the world’s leading design software providers, that they will no longer need to seek government licenses to conduct business in China.
Official announcements from the companies confirmed they would be resuming business with Chinese counterparts, sending each of their stock prices up between 3 and 6 percent.
The US government restricted sales of electronic design automation (EDA) tools to China in late May as a response to China’s decision to limit shipments of essential rare earth minerals.
Last week, the two countries reached a trade agreement that would re-allow shipments of EDA software after Beijing speeds up approvals of critical mineral exports to the US.
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.
Syntheia
Investor Insight
Syntheia’s innovative conversational AI solution is transforming the face of customer engagement for the B2B market. Backed by a stable financial foundation, Syntheia is well-placed to execute its growth strategy, offering investors a compelling opportunity.
Overview
Syntheia (CSE:SYAI) has rapidly emerged as an innovative player in the expanding conversational AI platform-as-a-service market.
In an industry on the cusp of redefining customer engagement, Syntheia delivers advanced AI solutions tailored to the evolving demands of modern communication. Its platform, built to replicate human-like conversations across phone and digital channels, serves both large enterprises and small-to-medium businesses, many of which face persistent challenges in customer support and high turnover in frontline roles. By combining expertise in natural language processing, tonality, sentiment analysis, and conversational behavior, Syntheia sets itself apart, offering a more authentic and human-like experience than conventional chatbot technologies.
At the heart of Syntheia’s strategy is a forward-looking approach to AI-powered customer service—an industry undergoing rapid and transformative growth. The global conversational AI market, valued at US$12.24 billion in 2024, is projected to soar to US$61.69 billion by 2032, driven by a robust compound annual growth rate of 22.6 percent. This surge underscores the rising demand for intelligent, scalable solutions capable of handling customer interactions with speed, accuracy, and a human-like touch.
Market growth is being driven by several key factors, including increasing demand for customer-centric interactions, the pursuit of greater operational efficiency, and the cost savings enabled by automating and enhancing customer support functions. Syntheia is well-positioned to capitalize on these trends, equipping businesses with AI-driven tools that reduce onboarding costs, overcome language barriers, and address other operational challenges, while simultaneously improving customer engagement.
Syntheia is listed on the Canadian Securities Exchange under the ticker symbol SYAI. Its stock is tightly held, with a limited float that supports disciplined share expansion. Financially, the company is on solid footing, with $2 million in cash, no debt, and a well-structured capitalization profile that includes options and warrants. This strong financial position provides the flexibility and resources necessary for Syntheia to execute its growth strategy and adapt to evolving market conditions.
Syntheia has signed a non-binding letter of intent to acquire Beyond The Call (BTC), an Ontario-based call center operator. The acquisition targets BTC and certain of its assets. By integrating Syntheia’s AI platform with BTC’s operations, both companies see an opportunity to modernize the business, enhance efficiency, and improve customer satisfaction.
With Syntheia’s Assistant NLP platform surpassing 20,000 subscribers in April 2025, the company is well on track to achieve its goal of reaching 100,000 subscriptions by year-end.
Company Highlights
- Syntheia is a conversational AI solution delivering AI-driven, human-like customer service for enterprises and SMBs.
- The AssistantNLP Platform offers 24/7/365 multilingual support, accessible globally.
- Syntheia operates on a freemium revenue model, with scalable plans catering to varied business sizes and needs.
- The conversational AI market is expected to reach $32.62 billion by 2030, with Syntheia well-positioned to capitalize on this growth.
- Syntheia’s algorithms have achieved an 84 percent success rate in data collection and 98 percent in outreach programs, highlighting exceptional efficiency.
- Financially stable, Syntheia has $2 million in cash, no debt and trades on the Canadian Securities Exchange.
Key Technology
Syntheia is a front-runner in conversational AI, employing natural language processing (NLP) algorithms that are continually refined for accuracy and contextual understanding. The platform’s advanced NLP technology, bolstered by proprietary algorithms, enables it to understand and respond to various conversational cues, including tone, sentiment, semantics, and even idiomatic expressions. These sophisticated capabilities make interactions feel more fluid, accurate and responsive, which is particularly advantageous in sectors like healthcare, finance and customer service, where nuanced communication is essential. In fact, Syntheia’s algorithms exhibit impressive efficacy rates, achieving an 84 percent success rate in data collection and a 98 percent success rate in outreach initiatives, demonstrating the system’s effectiveness in real-world applications.
One of the most compelling aspects of Syntheia’s solution is its proprietary AssistantNLP platform, which offers 24/7/365 conversational AI service. The AssistantNLP platform is designed to handle high volumes of customer queries in multiple languages and across industries, ensuring a scalable, reliable and flexible solution for diverse customer needs.
Syntheia’s platform is also highly accessible, structured around a freemium revenue model that allows businesses to try the service at no cost and then upgrade based on usage and additional features. The freemium model’s flexibility is essential in broadening Syntheia’s customer base by reducing the initial financial commitment for prospective clients and encouraging growth from smaller firms to larger enterprise accounts.
Management Team
Tony Di Benedetto – Chairman, Chief Executive Officer
Tony Di Benedetto has nearly 20 years of IT entrepreneurship, mergers and acquisitions, and capital markets experience. As a seasoned technology business leader, he has successfully built and brought multiple tech businesses to market.
Richard Buzbuzian – President
Richard Buzbuzian is a capital markets executive with over 25 years of investment experience in Canada and Europe, and operates a family office with an investment portfolio of public and pre-IPO companies. Buzbuzian holds a degree from the University of Toronto.
Paul Di Benedetto – Chief Technology Officer
Paul Di Benedetto is a technology visionary with expertise in diverse innovative technologies, including blockchain and AI. He is responsible for overseeing the ongoing development of patent-approved technology at work from Syntheia.
Veronique Laberge – Chief Financial Officer
Veronique Laberge is a chartered professional accountant and holds the title of auditor. With more than 17 years of experience in professional practice, she specializes in certification mandates and general accounting, and acts as a consultant for public and private companies.
Emilio Iantorno – VP of Product & Experience Strategy
Emilio Iantorno, a 20-year design veteran, specializes in crafting engaging product experiences for diverse audiences and industries. Emilio leads the Syntheia design process, effectively harnessing the best technology to tackle business challenges.
