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A Small AI Company Just Took the Stage at One of the Biggest Events in Computing, and It Points to Where Drug Discovery Is Headed

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Issued on behalf of MindWalk Holdings Corp. (NASDAQ: HYFT)

AUSTIN, Texas, July 24, 2026 /PRNewswire/ — American News Group News Commentary – The race to bring artificial intelligence into drug discovery has become one of the most closely watched stories in both biotech and technology. Pharmaceutical companies are pouring money into AI, chipmakers are courting the life-sciences market, and a wave of specialized companies is trying to prove that machine reasoning can actually speed the search for new medicines. This week, one of the smaller names in that race stepped onto a very large stage.

At the Advancing AI 2026 event in San Francisco hosted by Advanced Micro Devices (NASDAQ: AMD), a Bio-Native AI company gave the first public demonstration of a platform it argues addresses the missing piece in AI drug discovery: not a bigger model, but the connected biological context that models need to reason over.

Key Takeaways

MindWalk Holdings Corp. (NASDAQ: HYFT) gave the first public demonstration of ReefIQ™, its biological context layer for AI drug discovery, running on AMD Instinct at AMD’s Advancing AI 2026, appearing in the AMD Instinct Demo Showcase.

The broader AI-drug-discovery field is drawing intense investor attention, with Recursion Pharmaceuticals (NASDAQ: RXRX), Absci (NASDAQ: ABSI), Tempus AI (NASDAQ: TEM), and NVIDIA (NASDAQ: NVDA) all central to how AI is reshaping the search for new medicines.

A First Public Look at the Layer Beneath the Models

MindWalk Holdings Corp. (NASDAQ: HYFT), a Bio-Native AI company, unveiled the first public demonstration of ReefIQ, its biological context layer for AI drug discovery, running on AMD Instinct at AMD’s Advancing AI 2026 in San Francisco. The company was featured in the AMD Instinct Demo Showcase, appearing in one of four custom demo vignettes, with an accompanying video interview distributed through AMD’s channels.

According to the company, the demonstration is the first time it has shown ReefIQ publicly in action. It walks through how ReefIQ reconnects fragmented discovery data into governed, queryable biological context, then lets AI models and agents reason over that context while running on open AMD Instinct compute. MindWalk introduced ReefIQ in June 2026, positioning it between a client’s discovery data and its AI reasoning workflows.

The pitch rests on a simple observation about biology and data. Biology is deeply interconnected, but the data generated during drug discovery is usually scattered across different files, formats, systems, teams, and workflows. MindWalk’s argument is that before an AI system can reason usefully about a biological question, that fragmented information has to be reconnected. Sequences, structures, assay results, omics data, published literature, evidence, provenance, and program history all need to become part of a single, governed, queryable web of context.

How the Pieces Fit Together

MindWalk describes its technology as three layers working in concert. HYFT® Technology, its core biological pattern technology, provides the representation foundation, mapping explicit relationships across sequence, structure, function, mechanism, pathway, evidence, and literature. ReefIQ, built on top of HYFT, is the client-facing biological context layer that organizes and governs that information. LensAI™, the reasoning and application layer, applies the actual analytical workflows. In the company’s framing, HYFT powers the representation, ReefIQ organizes and governs the context, and LensAI applies the reasoning.

“In life-sciences AI, the durable advantage is not the model a team licenses but the biological context it can reason over,” said Dr. Jennifer Bath, PhD, CEO and President of MindWalk Holdings Corp. “Biology is connected by evolutionary constraint; discovery data arrives fragmented across files and systems, and that gap is where insight is lost. ReefIQ is designed to close it, preserving what every program learns, including the programs that fail, as governed context rather than isolated files.”

That last point is central to the company’s thesis. Drug-discovery organizations generate valuable information in every program, including negative results, assay conditions, design decisions, and the reasons a candidate did not advance. MindWalk argues that ReefIQ preserves all of that as governed, queryable knowledge, so that as data are added, the network is enriched and future programs benefit from the accumulated evidence rather than starting from scratch.

Why the Grounding Matters, and Why AMD

A recurring concern with applying general-purpose AI to science is hallucination, where a model produces a plausible but wrong answer. MindWalk says its approach is grounded in evolutionary constraint, the patterns biology preserves because their function is essential, rather than in statistical correlation alone. The company frames that grounding as what makes reasoning, including autonomous and agentic reasoning, trustworthy enough to act on in a regulated setting where a hallucinated result can carry patient-safety and program-cost consequences.

The choice of hardware is part of the story. MindWalk describes this kind of Bio-Native inference as data-dominated and memory-heavy, involving enrichment, similarity search across hundreds of millions of patterns, and reasoning over connected biological context. It says AMD Instinct’s memory-rich, open-stack profile maps onto that workload, and that its architecture is designed so a customer’s connected context can stay in the customer’s environment under existing governance while inference runs on open compute. Statements describing AMD Instinct architecture are paraphrased from AMD’s public disclosures and are not MindWalk product claims, and MindWalk’s participation as a featured exhibitor does not imply any endorsement or partnership beyond that.

“ReefIQ operationalizes the HYFT information network for drug discovery,” said Dirk Van Hyfte, MD, PhD, Chief Technology Officer of MindWalk. “HYFT provides the biological representation foundation, representing the complex relationships in biology; ReefIQ links customer data to that foundation and exposes governed context to LensAI and customer-selected agent models operating within agreed governance.”

MindWalk said its business development team would use Advancing AI 2026 to engage life-sciences customers, infrastructure partners, and agentic-AI builders weighing where to host and govern regulated biological context. The company noted that LensAI is already in contracted, recurring arrangements with life-sciences customers today, and that its underlying representation spans 660 million biological patterns and 25 billion relationships refined over 20 years of curation.

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The Wider AI-Drug-Discovery Landscape

MindWalk is one of several companies betting that artificial intelligence will reshape how new medicines are found. Each is approaching the problem from a different layer of the stack, and together they show why the space has become one of the most active intersections of technology and biology.

Recursion Pharmaceuticals (NASDAQ: RXRX)

Recursion Pharmaceuticals is often described as the biology-first platform in AI drug discovery. It runs large automated labs that generate biological data at scale, then feeds that data into machine-learning systems to identify new drug candidates. In 2026 the company reported positive early clinical data across multiple oncology programs and strong Phase 2 signals in a rare-disease indication, and it has drawn fresh institutional interest, with reports of buying by high-profile investors. Recursion is frequently cited alongside MindWalk as a peer tackling the same challenge from a different layer, and with more than US$650 million in cash it has the balance sheet to keep building.

Absci (NASDAQ: ABSI)

Absci approaches the problem through generative AI for biologics, using models designed to create antibody candidates without requiring prior wet-lab data, an approach sometimes described as zero-shot design. Absci shared the stage with MindWalk earlier in 2026 at an investor panel focused on AI-powered drug discovery, and the two are commonly grouped together as companies applying different AI techniques to the discovery problem. Absci’s work illustrates the design end of the spectrum, generating novel molecules, where MindWalk focuses on the context layer that any such model must reason over.

Tempus AI (NASDAQ: TEM)

Tempus AI pairs genomic diagnostics with an enormous healthcare data library that pharmaceutical partners license for AI-driven research. Its scale, reported at hundreds of petabytes of data across tens of millions of patients, is often described as the company’s real moat, on the argument that the data foundation, not any single model, is what compounds in value over time. That framing rhymes closely with MindWalk’s own thesis that the durable, compounding asset is the biological context layer rather than the model. Tempus operates in diagnostics and clinical data while MindWalk operates in discovery-stage biological context, but both are essentially arguing that in AI, data is destiny.

NVIDIA (NASDAQ: NVDA)

NVIDIA is the compute backdrop against which this entire field operates. Its chips and software have become synonymous with the AI boom, and it has pushed aggressively into healthcare and drug discovery, striking partnerships across pharma and biotech. MindWalk’s own stack runs on AMD Instinct accelerators rather than NVIDIA’s, which is part of what made its Advancing AI appearance notable, since AMD is positioning its open-stack, memory-rich hardware as an alternative for exactly these data-heavy life-sciences workloads. For investors, NVIDIA is the name most often used to express conviction in AI drug discovery broadly, without betting on any single company’s pipeline, and the AMD-versus-NVIDIA dynamic is a live subplot in how the sector’s infrastructure gets built.

A Sector Still Proving Itself

For all the momentum, AI drug discovery remains a field that has yet to deliver its defining proof point, a fully AI-discovered drug through late-stage trials and approval. Analysts widely expect that the first positive pivotal readout from this generation of platforms would re-rate the entire category. That is the backdrop against which MindWalk is making its case, arguing that the winners will be decided not only by who has the best model, but by who controls the biological context those models depend on.

MindWalk is a small company stepping onto a stage dominated by giants, and its ReefIQ demonstration is an early-stage milestone rather than a commercial outcome. But its appearance at Advancing AI 2026 put a specific idea in front of a large audience: that the missing piece in AI drug discovery may be the connected context beneath the models, and that whoever supplies it could matter as much as whoever builds the models themselves.

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Article Source:

[1] MindWalk Holdings Corp., “MindWalk Showcases ReefIQ for AI Drug Discovery at AMD Advancing AI,” press release, July 23, 2026.

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Statements on this page about MindWalk Holdings Corp. and its technology, including references to HYFT Technology, ReefIQ, LensAI, Bio-Native AI, and the company’s participation in AMD Advancing AI 2026, describe early-stage products and a first public demonstration that have not been independently verified and may not translate into commercial outcomes. ReefIQ registration is pending. Statements describing AMD, AMD Instinct, ROCm, or related architecture, memory, software-stack, or interconnect characteristics are paraphrased from public disclosures by AMD and third-party industry analysis and do not constitute MindWalk product claims. References to AMD and Advancing AI 2026 are descriptive of the event and do not imply any endorsement, sponsorship, partnership, commercial agreement, or financial relationship beyond MindWalk’s participation as a featured exhibitor. Forward-looking statements involve known and unknown risks and uncertainties; readers should not place undue reliance on them.

References to Recursion Pharmaceuticals, Absci, Tempus AI, NVIDIA, and any of their respective products, platforms, or partnerships are for comparative and illustrative context only. MindWalk Holdings Corp. is not a party to, and is not affiliated with, the products, platforms, or corporate activities of those companies, and their programs are at different and generally more advanced stages. Each company carries its own independent risks and must be evaluated on its own merits.

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Northern Hemisphere Heat Drives Demand for Cooling and Sun-Protection Products on Yiwugo

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YIWU, China, July 24, 2026 /PRNewswire/ — Yiwugo.com, the official website of the Yiwu Commodity Market, is the largest commodity wholesale market in the world. The final whistle may have blown on the World Cup, but the intense heat gripping the Northern Hemisphere shows no sign of letting up. Europe has experienced unusually hot weather this year, sparking not only a surge in demand for air conditioners but also a boom in portable handheld fans. Merchants on Yiwugo say that in previous years, European customers would begin placing orders in March or April and take their time completing their annual procurement. This year, however, the purchasing season has stretched well into summer, with a flood of new buyers coming in, most of them looking for small handheld fans. With customers eager to capitalize on the peak summer season, delivery timelines have also become significantly tighter. Whereas orders in previous years could generally be fulfilled within a month, merchants are now frequently being asked to deliver within about a week, leaving manufacturers scrambling to keep pace with demand.

Lingpan Official Flagship Store has specialized in the production and sales of small fans, insulated cups, and related products for 15 years. This summer, demand from European customers for high-speed small fans has risen sharply, accompanied by urgent delivery requirements. Many customers began requesting shipment just one week after placing their orders, hoping the products would arrive in time for the World Cup and the ongoing heatwave across Europe. One long-standing European customer purchased only five models of small fans from Lingpan last year. Anticipating stronger demand ahead of this summer, the customer expanded the order to 10 models. The first shipment sold out soon after arriving at port, prompting several subsequent repeat orders. European buyers have shown particular interest in high-speed cooling fans and placed great requirements on product quality. So far this year, Lingpan’s fan sales have more than doubled compared with the same period last year, with total purchases reaching approximately RMB 1 million.

Beyond Europe, the owner of Lingpan, Ling Pan pointed out that the Indian market has also undergone significant changes over the past two years. Indian customers are showing great interest in panda-shaped fans, drinking cups, and related products. Procurement volumes among many Indian buyers have increased substantially, with average annual purchases now reaching several hundred thousand yuan.

Unlike European countries grappling with sudden heat waves, Asian markets such as Japan and South Korea, where summers are consistently hot and air conditioners and fans are already everyday essentials, have shown much stronger demand for sun-protection products. From April 1, 2026 to date, sales of sun-protection masks on Yiwugo have increased by 31.6% YoY, while sales of sun-protection face shields surged by 72.42% and sun hats rose by 8.1%.

Chen Jia, a Yiwugo merchant, has engaged in the production and sales of sun-protection masks and sun-protection face shields for eight years. Chen operates the Xiao Zhen and Xiao Mian Sun-Protection Products Workshop in District 4 of the Yiwu International Trade Market. In recent years, the company has customized cooling nylon fabrics for customers in Japan and South Korea. Sun-protection masks and sun-protection face shields made from this material not only offer UPF 50+ protection, but also maintain a more structured shape and are less susceptible to snagging or deformation. Their protective performance remains effective after routine washing, and the products can last for more than five years under normal use.

In 2024, a TV shopping operator from South Korea contacted Xiao Zheng and Xiao Mian through Yiwugo and began placing orders after inspecting the products in person. Over the following two years, the company continued to improve the fitness and design of its sun-protection products. It introduced sun-protection face shields with breathable mesh panels and incorporated soft supports around the nose area to prevent the masks from rubbing against lipstick. These product upgrades have steadily driven up customer ratings on the client’s store. Annual procurement, initially valued at around RMB 300,000, has risen year by year, and the company has since developed into a recognized brand in the local market.

Persistent heat across the Northern Hemisphere has been creating new forms of cross-border consumer demand while enabling Yiwugo merchants to keenly capture shifts in overseas markets. From the strong sales of small portable fans in Europe to the rising demand for functional sun-protection products in Japan and South Korea, the diversity of orders reflects both consumers’ need for relief from extreme heat and the ability of Yiwu manufacturers to strengthen their presence in global markets through product innovation and rapid fulfillment. Faced with a rapidly changing international market, many merchants are continuing to refine product designs, upgrade fabric techniques, and enhance supply efficiency. By leveraging Yiwugo to broaden their export channels, they are keeping pace with overseas consumption trends and capitalizing on the expanding market for cooling and sun-protection products, turning the summer heat into new momentum for cross-border trade.

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Snorkel AI Highlights First Wave of Open Benchmarks Grants Projects

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SAN FRANCISCO, July 24, 2026 /PRNewswire/ — Snorkel AI today highlighted the first group of projects supported through Open Benchmarks Grants, a $3 million commitment to support open-source datasets, benchmarks, and evaluation research.

Launched in February 2026, Open Benchmarks Grants has received hundreds of applications from researchers, labs, and engineers working to address a growing challenge: AI systems are advancing faster than the field’s ability to rigorously measure their performance on realistic, consequential work.

“From complex environments and huge autonomy horizons to rich, sophisticated outputs, these projects tackle some of the field’s hardest evaluation challenges,” said Fred Sala, a member of the Open Benchmarks Grants steering committee and assistant professor at the University of Wisconsin–Madison. “I’m excited to see the broader research community use, validate, and build on them.”

Open Benchmarks Grants provides selected teams with funding, expert data development support, research and engineering collaboration, and platform resources. Supported projects include:

Frontier-Bench (formerly Terminal-Bench 3.0), developed with Laude Institute and the Harbor community, is a harder, more domain-diverse successor to Terminal-Bench 2.1 — built in the open, task by task, under continuous adversarial review.Agents’ Last Exam, developed with UC Berkeley RDI and the RDI Foundation, evaluates agents on long-horizon, economically valuable professional workflows. It spans 55 sub-industries and includes more than 1,500 tasks toward a 5,000-task target, sourced and validated by more than 300 industry experts.OSWorld 2.0, developed with XLANG Lab, evaluates computer-use agents on 108 long-horizon workflows across 31 self-hosted web environments and professional desktop applications.Continual Learning Bench, developed with UC Berkeley SkyLab and the University of Wisconsin–Madison, measures whether agents genuinely improve across sequential, stateful tasks.SlopCode Bench, developed with the University of Wisconsin–Madison, measures how code quality degrades as coding agents repeatedly modify and extend their own solutions.Terminal-Bench 2.1, developed with Stanford University, Laude Institute and the Harbor community, evaluates agents on challenging work in terminal environments. The release corrected 28 tasks and introduced continuous validation.

With support from Open Benchmarks Grants, Terminal-Bench Science is also now in development, extending the Terminal-Bench framework to computational research workflows across the life, physical, earth, and mathematical sciences.

Beyond the grants program, Snorkel led the development of Senior SWE-Bench with the research teams at Princeton University and the University of Wisconsin–Madison. The benchmark evaluates coding agents on senior-level engineering work, including implementing features from realistic instructions, investigating bugs that require runtime analysis, and producing code that follows existing codebase conventions.

Open Benchmarks Grants was established with support from Hugging Face, Prime Intellect, Together AI, Factory, Harbor, and PyTorch. Applications remain open and are reviewed on a rolling basis.

Learn more and apply for a grant at benchmarks.snorkel.ai.

About Snorkel AI
Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. 

media@snorkel.ai

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Payzli Vaults to No. 3 on Tampa Bay’s Fast 50, Up From No. 22 in One Year

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Payments technology company, Payzli earns a second consecutive Fast 50 ranking, crediting the climb to accelerating partner and merchant growth on its proprietary technology stack.

TAMPA, Fla., July 24, 2026 /PRNewswire/ — Payzli, the partner-first payments technology company, has been named the No. 3 fastest-growing company in the region on the Tampa Bay Business Journal’s 2026 Fast 50 – a 19-spot climb from its No. 22 debut last year, and the company’s second consecutive year on the list.

The ranking was announced July 23 at the Tampa Bay Business Journal’s Fast 50 event in Tampa, where Co-Founder and Chief Revenue Officer Naim Hamdar accepted the award alongside members of the Payzli team.

Payzli attributed its growth to a compounding effect: a national network of ISOs, agents and ISVs bringing merchants onto a technology platform Payzli built and operated in-house. 

That platform rests on three proprietary pillars:

Payzli Connect: the company’s payment CRM and merchant-and-partner dashboard, giving agents and ISOs daily residuals visibility and giving merchants a single place to run their account.Payzli POS: AI-powered point-of-sale and business software purpose-built for service businesses, including salons, med spas, wellness studios, and independent operators.Payzli Transact: an online payment gateway built on Visa Platform Connect through Payzli’s partnership with Visa Acceptance Solutions.

The Visa Acceptance Solutions partnership is central to how Payzli frames its credibility: rather than assembling a growth story on top of borrowed infrastructure, the company processes on rails backed by one of the most established networks in the industry alongside Fiserv and TSYS – a point that matters to the partners and merchants deciding where to place their volume.

“A second year on this list, and a jump to No. 3, isn’t about one good quarter. It’s about a network deciding to build with us and stay,” said Naim Hamdar, Co-Founder and Chief Revenue Officer of Payzli. “Every rank on this list represents partners we’ve earned and merchants who trust us to run their payments. We built the technology in-house so we could keep the promises the industry usually breaks: nothing hidden, a real person in reach, and daily residual visibility our agents can actually count on. That’s what this ranking measures and it’s why we’re doing it all, for the joy of business.”

“They say nothing in Tampa moves fast except the afternoon thunderstorms, so making the Fast 50 two years running feels pretty good,” said Kapil Pershad, Co-Founder and Chief Technology Officer of Payzli. “In all seriousness, this is a credit to our team and the businesses that trust us to power their growth.”

The Fast 50, produced by the Tampa Bay Business Journal, recognizes the fastest-growing private companies in the Tampa Bay region. Payzli’s return to the list and its move into the top three reflects a merchant-first product suite and a rapidly expanding national partner network across the payments and embedded-finance landscape.

About Payzli

Payzli is an end-to-end payments technology partner that makes accepting payments simpler and affordable for businesses of all sizes and risk levels. Founded in 2020 and headquartered in Tampa, Florida, Payzli brings together in-person processing, an advanced online gateway, AI-powered point of sale, and mobile and contactless payments – backed by its own technology, honest pricing, and dedicated human support. Built partner-first, Payzli equips ISOs, agents, developers, and independent software vendors to grow, with direct integrations to major processing platforms, in-house underwriting, a flexible credit policy, a Visa Acceptance Solutions foundation partnership, and sponsor-bank backing from Esquire Bank, a NASDAQ-listed strategic investor in Payzli. For more information, email partners@payzli.com or visit payzli.com.

Payzli is a registered trademark of United Payment Systems LLC. United Payment Systems LLC is a registered ISO of Esquire Bank (Jericho, NY), Commercial Bank of California (Irvine, CA), and KeyBank, National Association (Cleveland, OH).

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