IC Optimize Announces Odin and Joins the Cadence Connections Program

Odin accelerates analog IC optimization inside established Cadence-based design flows while keeping customer design data on premises.

Key Highlights

- Odin from IC Optimize introduces a new standard for analog circuit optimization, helping designers find optimal device sizing orders of magnitude faster than traditional approaches—often in minutes.

- Odin is available through the Cadence Virtuoso ADE Product Suite for Cadence-based workflows

- Customer IP remains protected because design data and analysis stay within the customer's own environment.

SANTA CLARA, Calif. and COPENHAGEN, Denmark, Sept. 8, 2026 /PRNewswire/ -- IC Optimize today announced Odin, its advanced analog circuit optimization solution, and its membership in the Cadence Connections Program, which supports third-party software suppliers developing complementary solutions and validated interfaces for Cadence design flows.

Odin helps analog and mixed-signal design teams optimize device sizing to meet and exceed design specifications, reduce power consumption, and improve yield and reliability. By applying advanced mathematical optimization directly within familiar design workflows, Odin enables engineers to explore complex design spaces quickly while maintaining control over their design data.

ODIN is available directly from the Cadence Virtuoso ADE Product Suite. ODIN supports the designer with fast analog optimization and several interfaces for visualizing progress, result analysis, stability, corner visualization, sensitivity etc., as shown above.

IC Optimize grew out of research at DTU and years of hands-on analog design experience. The company combines advanced optimization techniques with practical circuit-design knowledge so Odin can support real-world circuits, a wide range of PDKs and process corners, and demanding tape-out schedules. Odin leverages Cadence-based optimization capabilities so users can stay within their established design environment.

"IC Optimize's Odin combines the creativity of the designer with the power of advanced mathematics to find the optimal circuit implementation for demanding specifications," said Henrik Dam, CEO of IC Optimize. "Because Odin is both effective and efficient, any analog design organization can benefit from its use. And because Odin can run locally in a standard customer environment, teams can optimize designs without exposing valuable IP to cloud-based learning or external data transfer."

About IC Optimize

IC Optimize is a performance leader in analog circuit optimization. The company accelerates circuit design by combining advanced mathematical modelling with deep circuit-design knowledge, helping customers achieve stronger circuit performance in less time.

Editorial Contact:

IC Optimize

David Conochie

[email protected]

SOURCE IC Optimize

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Extraordinary in Hand, Effortless in Control HUAWEI Mate XT 2 | ULTIMATE DESIGN Debuts as the First Smartphone to Feature LogicFolding Tau (τ) Chip and Reach Mass Commercialization

GUANGZHOU, China, Sept. 8, 2026 /PRNewswire/ -- On September 7, Huawei officially unveiled the latest addition to its tri-fold lineup, the HUAWEI Mate XT 2 | ULTIMATE DESIGN. As the first smartphone to feature the LogicFolding Tau (τ) Chip, HUAWEI Mate XT 2 | ULTIMATE DESIGN marks the chip's official entry into mass commercialization.

The phone debuts with a wing-like tri-fold design, continuously pushing the boundaries of ultimate aesthetics, craftsmanship, and innovation. It is the first device powered by the Kirin 9050 Pro chip and introduces several industry-first features and experiences, including the Xuanwu Ultra-Durable Tri-Fold Architecture, Smart Shield Privacy Screen, True-to-Color Camera 3.0, and the HarmonyOS 7 large-screen experience. As the pioneer of tri-fold phones, this new generation once again redefines the extraordinary.

Ultimate Design: A Wing-Like Form for Intuitive Control

The new HUAWEI Mate XT 2 | ULTIMATE DESIGN features a wing-like tri-fold design that opens from both sides, offering a more intuitive unfolding experience. The design philosophy draws on Chinese aesthetics, with a cloud pattern on the back panel created using Brocade Cloud craftsmanship. It is available in three colors: Purple, White, and Black. The camera ring inherits the iconic Star Diamond Glow design, crafted from Yttrium Crystal and fired at 1,800°C. Combining gemstone design and cutting techniques, it undergoes eight steps of fine polishing to form 33 star diamond facets, delivering a dazzling gemstone-like luster[1].

The device features the Xuanwu Ultra-Durable Tri-Fold Architecture, which re-engineers the hinge and screen technology for layered protection from the inside out. It is the first tri-fold phone to support IP58/59 dust and water resistance[2]. The cover screen, made of Xuanwu Kunlun Glass[3], resists daily scratches and impacts with ease. It also features anti-glare technology, ensuring clear visibility even under direct sunlight. The main screen uses a multi-layer composite ultra-tough structure, including a large UTG glass layer, aerospace-grade ultra-thin high-strength steel, and a carbon fiber support layer, providing robust impact resistance. The Advanced Precision Hinge System 2.0 employs a 5 curved arm structure and a synchronized linkage mechanism for even force distribution and reliable pressure resistance.

Ultimate Performance: Kirin Chipset, a Leap in Power

The HUAWEI Mate XT 2 | ULTIMATE DESIGN is the first to feature the Kirin 9050 Pro chip, delivering a dual leap in performance and energy efficiency. Through the greater synergy between hardware, software, chips, and cloud, overall device performance is improved by 42% compared to the previous generation[4]. The LinxiCore CPU, combined with the Ultra-smooth HUAWEI Ark Engine, enables faster loading of large files and superior performance when running multiple apps or multitasking. The Maleoon GPU has featured compute units and double cache, significantly enhancing rendering performance. In gaming scenarios, it supports hardware-level real-time ray tracing with up to 50 million rays per second, delivering a more immersive and realistic experience. The HUAWEI Da Vinci Architecture NPU brings a leap in on-device AI computing capability, supporting multi-sized large models. For the first time in the industry, it natively supports the on-device Pangu Large Model (30B-A2B), enabling smart experiences such as on-device AI album management with Celia.

The innovative heat dissipation architecture distributes heat sources across three frames, working with ultra-large vapor chambers and highly thermally conductive graphene materials to efficiently conduct heat across axes. Intelligent collaboration of multiple communication systems and 32 distributed antennas ensures faster 5A connectivity. It supports Tiantong satellite communication and Beidou satellite messaging, ensuring connectivity anywhere in the world. The Mobile Security Processor, combined with an independent security chip, enables post-quantum cryptography algorithm detection and has passed EAL5+ CCRC security certification, providing dual protection for personal data and assets.

Ultimate Technology: A Masterpiece of Innovation for Peace of Mind

The industry's first foldable Smart Shield Privacy Screen is now available, marking the first time hardware-level privacy protection is achieved on a foldable device[5]. It features an independent dual-pixel design, ensuring consistent screen resolution before and after activating Privacy mode, maintaining a clear front-facing view. With intelligent sensing capabilities, it provides smart reminders when entering airports or train stations. It also supports elegant activation of Privacy mode through methods such as double-tapping the cover screen or the Smart controls button.

The HUAWEI Mate XT 2 | ULTIMATE DESIGN is equipped with ECG analysis software and has obtained the NMPA Class II Medical Device Registration Certificate[6]. Users can initiate an ECG measurement by holding the unfolded large screen with both hands. Celia intelligently interprets and analyzes the report, providing thoughtful care.

Ultimate Photography: True-to-Color Camera 3.0, Capturing Every Moment

The HUAWEI Mate XT 2 | ULTIMATE DESIGN undergoes a comprehensive upgrade from optical hardware to computing power. It is the first to feature the True-to-Color Camera 3.0, which effectively filters out infrared light interference, improving color reproduction by 95% compared to the previous generation. It also features an ultra-HDR main camera, ultra-wide aperture periscope telephoto camera, and Ultra-wide angle camera, delivering true-to-life colors, realistic portraits, and clear night shots, with excellent performance at both close and long distances. Video recording supports an ultra-high dynamic range of 18 EV, ensuring outstanding image quality in every frame.

AI composition has been upgraded to intelligently recognize people, scenery, and food scenes, and supports AIGC real-time previews for clear composition and lighting recommendations. Its unique tri-fold form enables Desk-calendar mode shooting, making it easy to capture warm moments, whether for selfies or group photos.

Ultimate Experience: A Superior Large-Screen Experience

The HUAWEI Mate XT 2 | ULTIMATE DESIGN is powered by the new HarmonyOS 7, redefining the large-screen interaction experience. The Live-Multitask capability supports three windows displayed in parallel, with adjustable window sizes and independent volume control. This large-screen experience covers core scenarios such as financial management, social entertainment, smart office, shopping comparison, and travel guides. Furthermore, it has been deeply adapted to leading industry apps, continuously driving innovation in the tri-fold large-screen ecosystem.

The HUAWEI Mate XT 2 | ULTIMATE DESIGN starts at RMB 19,999 and will be available for purchase along with a stylus set, with official sales beginning at 10:08 on September 12th.

SOURCE Huawei

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Aplikace umělé inteligence Guanlan: vyšší přesnost, nižší náklady, chytřejší interakce

CHANG-ČOU, Čína, 8. září 2026 /PRNewswire/ -- Je to již více než rok, co společnost Hikvision uvedla na trh velké jazykové modely umělé inteligence Guanlan large-scale AI models. Lze bez nadsázky říci, že dnešní video systémy „rozumějí" tomu, na co se dívají. Vědí také, co již bylo zaznamenáno, a díky inovacím v oblasti přirozeného jazyka i to, co uživatel požaduje. Právě díky těmto vlastnostem se produkt dokáže přizpůsobit prostředí, ve kterém je nasazen, a zajišťuje tak bezpečnější provoz s nižšími náklady a menším množstvím manuální práce.

Detekce a analýza pomocí AI: Poplachy, na které se můžete spolehnout

Ochrana perimetru

Právě v oblasti perimetru jsou náklady spojené s chybnou detekcí nejvyšší. Starší systémy snadno spouštějí poplach způsobený zvířaty, povětrnostními vlivy a pohybující se vegetací, takže skutečné hrozby zanikají v záplavě případů, které je nutné vyhodnotit manuálně.

Guanlan řeší tento problém přímo na okraji sítě. Kamery DeepinViewX využívají tento model, čímž snižují počet falešných poplachů o 90 % a zároveň detekují na dvojnásobnou vzdálenost oproti tradičním kamerám, přičemž u stejného cíle dochází k polovičnímu počtu opakovaných poplachů. Ať už se jedná o optické kamery pro krátké perimetry, nebo o termální, radarové a optické senzory pro velké vzdálenosti, AI pomáhá omezovat rušivé signály.

Analytika pro konkrétní prostředí

Kromě perimetru jde společnost Guanlan nad rámec standardní detekce objektů a upozorňuje na vysoce rizikové situace ve specializovaných prostředích. Tyto aplikace, vyvinuté pro známá provozní rizika, obvykle snižují počet falešných poplachů o 70 % až 90 %.

- Bezpečnost a dodržování předpisů: Mezi příklady patří detekce osobních ochranných prostředků (OOP) na staveništích, detekce pádů v domovech s pečovatelskou službou a detekce kouření na čerpacích stanicích. Ve všech případech systém nepřetržitě sleduje rizikové chování a spouští okamžitá upozornění.

- Provozní rizika: Mezi příklady patří detekce vysokozdvižných vozíků v logistických parcích a včasná detekce požáru a kouře v dolech pomocí dvoukanálových termokamer.

- Specializovaná použití: Mezi příklady patří detekce zvířat na velkých farmách a detekce zakázaných předmětů v dopravních uzlech – v druhém případě s využitím rozsáhlých modelů pracujících s rentgenovým zářením a milimetrovými vlnami.

AI jako nástroj pro zvýšení efektivity: Více s menším úsilím

Úspora úložného prostoru díky inteligentní kompresi ROI

Konvenční kódování považuje každou část snímku za stejně důležitou pro uchování. Aby bylo možné dosáhnout průlomové optimalizace ukládání videa, zapojuje technologie Guanlan Encoding do kódovacího procesu rozsáhlý model počítačového vidění. Využívá přesnou segmentaci oblasti zájmu (Region of Interst – ROI) k zachování detailů u dynamických objektů – lidí, vozidel a dalších klíčových objektů – a zároveň aplikuje vyšší míru komprese na statické pozadí. Úspora úložného prostoru se v průměru pohybuje mezi 30 % a 50 %.

Vyhledávání ve videu pomocí pouhých několika slov

Hledání konkrétního momentu v nahraném videu bývá často zdlouhavé. Operátor má pouze hrubou představu o tom, co hledá, a nemá jinou možnost, jak daný moment přesně lokalizovat, než posouváním časové osy.

AcuSeek tento krok odstraňuje. Je založen na rozsáhlém multimodálním modelu pro vyhledávání ve videu pomocí přirozeného jazyka a porovnává obrazové charakteristiky s významem zapsané fráze, takže popis se stává vyhledávacím dotazem. Výsledky se zobrazí během několika sekund.

Další hranice: Software jako AI agent

Nový HIKO AI agent od společnosti Hikvision, který se objeví na platformě HikCentral Professional a v aplikaci Hik-Connect, zcela mění způsob interakce. Nachází se mezi systémem a uživatelem a přeměňuje složité konfigurace na jednoduché konverzační příkazy.

HIKO funguje jako AI asistent, který okamžitě provádí administrativní pokyny – například nastaví přístup návštěvníka na základě SPZ nebo vygeneruje zprávu o docházce pouhým dotazem. Funguje také jako AI strážce, který nahrazuje nastavování pravidel příkazy v přirozeném jazyce (např. „Upozorni mě, když je průchod zablokován"), opatřuje každý poplach písemným shrnutím a na základě situace sestavuje kontextová zvuková varování. A konečně jako vyhledávač AI Search rekonstruuje kompletní trasu pohybu osoby – na základě videozáznamů, záznamů o dveřích a údajů z ANPR (rozpoznávání registračních značek) – jednoduše na základě dotazu operátora: „Kam šel ten muž v modré košili?"

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Enabling AI to identify information gaps and choose the right reasoning language for more reliable enterprise Agentic AI

SINGAPORE, Sept. 8, 2026 /PRNewswire/ -- Appier (TSE: 4180), an AI-native company delivering Agentic AI as a Service (AaaS), continues to advance AI innovation and research while expanding the frontiers of marketing and advertising technology. As Agentic AI becomes increasingly embedded in core enterprise operations, Appier's AI Research team has published two papers examining how large language models (LLMs) can recognize when retrieved information does not support a valid answer and how selecting the appropriate reasoning language can better serve users across linguistic backgrounds — setting a more rigorous benchmark for the trustworthiness and global deployment of enterprise AI.

Both capabilities are increasingly important in real-world business scenarios. Consider an e-commerce service agent: if a shopper asks about a product not covered by an existing return policy, an AI that applies rules for a similar product could provide misleading information and create disputes. Likewise, a game studio expanding overseas may rely on AI to understand local players, but linguistic nuances can shape market preferences and risks. If the AI does not reason in the local language, it may overlook insights that a native speaker would recognize. To support enterprise decision-making effectively, Agentic AI must be able to manage uncertainty and select the reasoning approach and language best suited to each task.

Recognizing Information Gaps: Teaching AI to Answer Honestly When Data Falls Short

To complete tasks autonomously, Agentic AI typically retrieves information from enterprise knowledge bases, documents, or external sources before reasoning and responding. Retrieval-Augmented Generation (RAG) is a common architecture for this process. However, when retrieval fails to provide sufficient information, the model's ability to recognize that gap directly affects the reliability of any subsequent decision.

In "None of the Above, Less of the Right: Parallel Patterns between Humans and LLMs on Multi-Choice Questions Answering," Appier's AI Research team used "None of the Above" (NA) options to simulate scenarios in which no valid answer was available. The team tested 28 leading LLMs of varying sizes and found that model accuracy fell by 30% to 50% when "none of the above" was the correct response. The findings show that even when models possess relevant knowledge, they tend to select suboptimal or incorrect options rather than proactively flagging insufficient information.

This capacity to "know what you don't know" matters most in tasks like business ethics, where models must assess several plausible options holistically, a more complex task than solving problems with directly verifiable answers, such as mathematics.

Appier's AI Research team applied two training methods—Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO)—to teach models to recognize "none of the above" scenarios. SFT trains models using correct examples, while DPO exposes them to both correct and incorrect responses so they can learn to distinguish between them. DPO improved model accuracy in identifying questions with no correct answer by nearly 30 percentage points, showing that targeted training can strengthen this capability.

However, "none of the above" is not suitable for every question. It is most effective when answers are clearly defined and the options are mutually independent, suggesting that an AI's ability to withhold an answer should be trained for specific tasks. In enterprise knowledge scenarios, this means improving retrieval accuracy while also introducing a checkpoint to confirm whether sufficient information is available before the AI acts. If the information is insufficient, the system can search again or escalate to a human.

Choosing the Right Reasoning Language for Each Task

Beyond managing uncertainty, Agentic AI also needs to select the right reasoning language for each task. Appier's research paper, "Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?" found that the language used by a large reasoning model (LRM) can directly affect its logical reasoning, safety judgments, and cultural understanding. Even when prompted in another language, models often default to high-resource languages such as English for reasoning. For some models, the reasoning language differed from the response language in over 90% of cases.

Using a "text prefilling" technique—setting an opening phrase that prompts the model to reason in a specified language—Appier's AI Research team examined how language choice affected task performance. High-resource languages such as English generally produced stronger results in mathematics and knowledge-based tasks. For tasks requiring cultural understanding, however, reasoning in the local language captured local context more effectively. Safety testing also showed that local-language reasoning was more effective at identifying harmful or illegal queries.

In other words, the optimal reasoning language should be chosen dynamically based on the nature of the task. This research opens the door to "reasoning-language routing": beyond selecting the right model, tools, and data, Agentic AI could, in the future, dynamically select the most suitable reasoning language based on task type, market, and cultural context, while continuing to respond in the user's preferred language.

Beyond Answer Accuracy: Recognizing Limits and Choosing the Right Approach

"These two papers redefine the standard for evaluating AI. As AI moves from answering questions to making autonomous decisions, measuring whether a model produces the correct answer is no longer enough. We must also assess whether it can recognize insufficient information, adjust its actions accordingly, and select the reasoning approach best suited to each task," said Chih Han Yu, CEO and Co-founder of Appier. "These capabilities will help Agentic AI evolve from simply executing instructions into a reliable decision-making system capable of navigating real-world complexity. Through sustained foundational research, Appier aims to turn these critical questions into measurable and improvable AI capabilities, enabling enterprises across markets and languages to adopt Agentic AI with greater confidence."

Looking ahead, Appier's AI Research team will continue advancing research into large language models and Agentic AI while exploring applications across the company's three product lines—Ad Cloud, Personalization Cloud, and Data Cloud. The goal is to enable AI not only to act autonomously but also to make more reliable judgments based on the available information, task requirements, and market context—helping enterprises turn Agentic AI into scalable, tangible business value.

About Appier

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers business decision-making with cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of "Making AI Easy by making software intelligent," Appier endeavors to help businesses turn AI into ROI with its Ad Cloud, Personalization Cloud, and Data Cloud solutions. Now Appier has 17 offices across APAC, the US and EMEA, and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more company information, and visit ir.appier.com/en/ for more IR information.

SOURCE Appier

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Expert.ai brings semantic control and neurosymbolic AI to complex banking workflows, helping financial institutions build explainable and auditable AI automation.

ROCKVILLE, Md., Sept. 8, 2026 /PRNewswire/ -- Expert.ai, a leading provider of enterprise AI solutions for business value creation, today announced that it has been recognized as one of five Coolest Vendors mentioned in the Gartner Coolest Vendor Innovations in Agentic AI for Banking, Part 1*.

Expert.ai's AI suite is already in production at 10 top banks in Italy and by global AML organizations, which report more than 90% screening accuracy. Customers cite a 90% reduction in AML false positives, up to 70% time savings per alert in KYC screening and an overall 40% improvement in customer satisfaction.

As banks move from experimentation with generative AI toward production-grade AI agents, the ability to combine autonomy with control, traceability and domain understanding is becoming increasingly important. Expert.ai addresses this challenge through a semantic control and neurosymbolic AI Mesh architecture that combines knowledge graphs, deterministic linguistics, business rules and language models.

How Agentic AI in Banking Has Evolved So Far

"According to the 2026 Gartner CIO and Technology Executive Survey, 'the number of banks and investment firms deploying AI agents is set to double, with 41% of banks and 38% of investment service firms planning deployments in the next 12 months." As Gartner puts it, "The focus has shifted from "can we automate a workflow?" to "how do we engineer a trusted, scalable digital workforce that transforms the business model and delivers measurable value?"

Expert.ai Neurosymbolic, Composite AI Approach

Expert.ai's approach to applying agentic AI to complex banking processes, combining generative AI with semantic intelligence, symbolic reasoning and domain-specific knowledge, enables more controlled, explainable and efficient AI-driven automation. Rather than relying on a large language models to handle every step of a process or treating it as the universal engine for every task, Expert.ai's architecture determines where symbolic reasoning, business rules, knowledge graphs or language models are most appropriate. Symbolic agents first classify content, resolve entities, apply policy rules and retrieve relevant evidence; a language model is used only when language generation is genuinely needed; and a final symbolic check links every output back to its source evidence. This gives banks greater control over what AI agents do and makes their actions easier to understand and trace, also reducing unnecessary use of large language models, helping organizations manage the cost of running AI at scale.

Expert.ai's vertical AI platform supports agentic applications across financial crime, risk and compliance, providing domain-specific language models (DSLMs) and AI capabilities to streamline perpetual KYC, dynamic risk understanding, regulatory change management, adverse-media screening, sanctions and politically exposed person (PEP) screening, and the detection of material customer changes. The platform also supports complaint management, credit underwriting, intelligent document processing and intelligent customer engagement through natural language understanding, proactive guidance and transactional support.

"We are pleased to be recognized as a Coolest Vendor in the Gartner Coolest Vendor Innovations in Agentic AI for Banking report. We see this as a reflection of the trust our customers place in us to address some of the most complex challenges facing the banking and financial services industry. Their continued choice validates our strategy, our differentiated solutions, and our ability to deliver the reliability and business value required to bring AI into mission-critical environments," said Umberto Pardi, CRO, Expert.ai. "As we continue to expand our presence in banking and financial services industry, our focus remains on delivering measurable business value, building long-term partnerships, and helping organizations move from AI experimentation to trusted, scalable transformation."

*Gartner Coolest Vendor Innovations in Agentic AI for Banking, Part 1, Van To, Derek Frost, Sudarshana Bhattacharya, Debbie Buckland, Peter Ryan, 26 August 2026

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research and advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to its research, including any warranties of merchantability or fitness for a particular purpose. GARTNER is a trademark of Gartner, Inc. and/or its affiliates.

About Expert.ai

Expert.ai is a company specializing in the implementation of enterprise artificial intelligence solutions to create business value, listed on the Euronext Growth Milan market (EXAI:IM) and operating in Europe and North America. Through EidenAI Suite, Expert.ai supports companies and public administrations in their AI adoption journeys by offering a suite of ready-to-use solutions tailored for vertical markets. With 30 years of pioneering experience in innovation and technological excellence, Expert.ai has successfully implemented hundreds of projects, integrating the best technologies available on the market with its proprietary solutions. Its Hybrid AI approach (a neuro-symbolic AI based on natural language understanding and knowledge graphs, and machine learning/deep learning techniques - large language models, generative AI and agentic AI) is grounded in a vision of responsible, transparent and sustainable AI designed to serve people, address key challenges and achieve meaningful goals. Among Expert.ai's customers, who are served directly and through partners, are AXA XL, Zurich Insurance Group, Generali, Sanofi, The Associated Press, Bloomberg INDG, Dow Jones, and other leading organizations. Dario Pardi, who brings decades of experience at major multinational companies in the ICT sector, is Chairman, Chief Executive Officer, and a key shareholder of Expert.ai.

For more information: www.expert.ai

SOURCE expert.ai

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OTCQX: ORVMF

TORONTO, Sept. 8, 2026 /PRNewswire/ -- Orvana Minerals Corp. (TSX: ORV; OTCQX: ORVMF) ("Orvana" or the "Company") announces that its Bolivian subsidiary, Empresa Minera Paitití S.A. ("EMIPA"), has successfully produced its first doré bar from the processing of oxides stockpiled at its Don Mario site.

"The first doré bar from EMIPA's oxides confirms that the metallurgical performance of the expanded Don Mario Plant is in line with design and engineering assumptions. We remain focused on safely increasing throughput, and optimizing plant performance as operations ramp up" said Juan Gavidia, Chief Executive Officer of Orvana.

Oxides Stockpile Project ("OSP")

The Don Mario operation, located in the Don Mario district in southeastern Bolivia, is owned and operated by EMIPA, Orvana's Bolivian subsidiary. Mining and milling operations at Orvana's Don Mario operations were temporarily suspended in the first quarter of fiscal 2020 following depletion of mineral reserves at that time.

The Company is now completing the OSP to process oxide material that was stockpiled during previous years of mining at Don Mario. The project includes a large expansion for copper cathodes production enablement, and an upgrade of the ADR section of the legacy gold-silver circuit of the Don Mario Processing Plant.

The high-level flowsheet below illustrates the expanded Don Mario Plant and the recovery routes for copper, gold and silver.

Next Operational Milestones

EMIPA's focus remains on the safe and disciplined ramp-up of operations at the expanded Don Mario Processing Plant. Key priorities include increasing processing throughput, optimizing metallurgical performance, and progressing toward full commercial production of gold-silver dore, and copper cathodes, while maintaining rigorous cost control.

Production levels during fiscal 2026 will depend on the progress of ramp-up activities, plant performance and the successful stabilization of all operating circuits. The Company will provide updates on ramp-up progress and key operational developments in due course.

Qualified Person

The scientific and technical information in this news release has been reviewed and approved by Luis Isla, Chief of Geology of EMIPA, a Qualified Person as defined under National Instrument 43-101 and an employee of Empresa Minera Paitití, S.A., a subsidiary of Orvana, and is not independent of the Company.

ABOUT ORVANA – Orvana is a multi-mine gold-copper-silver company. Orvana's assets consist of the producing Orovalle operation in northern Spain; the Don Mario operation in Bolivia; and the Taguas property located in Argentina. Additional information is available at Orvana's website (www.orvana.com).

Cautionary Statements – Forward-Looking Information

Certain statements in this news release constitute forward-looking statements or forward-looking information within the meaning of applicable securities laws ("forward-looking statements"). Forward-looking information includes, without limitation, statements regarding the increasing processing throughput, optimizing metallurgical performance, and progressing toward commercial copper cathode production; and anticipated production levels at Don Mario during fiscal 2026.

Forward-looking statements are not statements of historical fact and are generally identified by words or phrases such as "believes", "expects", "plans", "estimates", "intends", "anticipates", "may", "could", "would", "might" or "will", or similar expressions, and include statements regarding future events and performance.

Forward-looking statements involve significant known and unknown risks, uncertainties and assumptions. The forward-looking statements in this news release are based on assumptions including, without limitation that the expanded Don Mario Plant will continue to operate in a manner consistent with current operating and metallurgical expectations; that oxide stockpile characteristics and metallurgical performance will remain substantially consistent with project assumptions; that EMIPA will be able to secure and maintain the supplies, reagents, consumables, power and other inputs required to support ongoing operations; that qualified personnel and contractors will remain available to support ramp-up activities; that the Company will maintain sufficient liquidity, working capital and access to financing required to fund operations during the ramp-up period; and that operational, regulatory, commercial and market conditions will continue to support the advancement of the Oxides Stockpile Project. There can be no assurance that any of these assumptions will prove correct or that the forward-looking statements will be achieved.

Actual results could differ materially from those expressed or implied in forward-looking statements due to a variety of factors, many beyond the Company's control, including, without limitation: variability in ore grades, metallurgical recoveries, throughput or plan performance during ramp-up of the expanded Don Mario Plant; delays In achieving commercial copper cathode production; the unavailability of qualified personnel of contractors, the inability of EMIPA to secure or maintain the supplies, reagents, consumables, power or other inputs required for operations, insufficient liquidity or working capital to fund ramp-up activities; deterioration in Bolivia's economic conditions, including foreign exchange constraints in law, regulation or governmental policy affecting mining operations in Bolivia. Additional risk factors applicable to the Company are described in the Company's most recent Annual Information Form, available at www.sedarplus.ca.

Orvana does not undertake any obligation to update forward-looking statements, except as required by law. Readers are cautioned not to place undue reliance on forward-looking statements.

SOURCE Orvana Minerals Corp.

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TORONTO, Sept. 8, 2026 /PRNewswire/ -- Mayfair Gold Corp. ("Mayfair", "Mayfair Gold", or the "Company") (TSXV: MFG) (NYSE American: MINE) is pleased to report on its summer exploration program progress and mine geology advancement to further its operational readiness program.

2026 Summer Geology Program Highlights:

- Advanced South Block targets toward drill-ready status

- Mapped more than 95% of known outcrops and collected 127 grab samples

- Completed 23 condemnation holes totalling 6,184 metres, confirming the site General Arrangement

- Advanced the integrated 3D geological and multi-element geochemical model

Adree DeLazzer, P.Geo, Vice President, Exploration, commented, "this season's work has strengthened our geological understanding of the North and South blocks and advanced priority targets on the South Block toward planned drilling in early 2027. Integrating our mapping, sampling and structural interpretation will help us refine these targets and focus the next phase of exploration. In parallel, we are developing an integrated geological and geochemical model at Fenn-Gib to better understand the deposit and guide exploration across the broader property. We are encouraged by the South Block's potential and look forward to testing the targets developed through this work.

2026 Exploration Program

The 2026 exploration program focused on advancing the geological understanding of the North and South blocks (see figures 1 and 2 below) through systematic geological mapping, prospecting, sampling, and compilation of historical data. Over 95% of known outcrops across both blocks were reviewed, mapped and selectively sampled, providing extensive coverage of the property and adding significantly to the geological dataset available for ongoing interpretation and targeting.

A total of 127 grab samples were collected across the North and South blocks, including selected samples for gold assay and multi-element geochemical analysis. Geological and structural observations recorded during fieldwork focused on documenting structural features, lithology, alteration, and mineralization. The results of this work are being integrated with existing historical datasets to build a more complete understanding of the property.

A structural targeting program is also underway and has identified a number of areas for further evaluation. These targets are being integrated with the results of the summer mapping and sampling program to help refine areas for potential follow-up geological, geochemical, and geophysical work.

The Company is currently finalizing plans for its fall and winter exploration programs.

Infrastructure Condemnation Drilling Program

Mayfair has completed its 2026 condemnation drilling program, comprising 23 drill holes totalling 6,184 metres, including two redrills. The program was designed to test the proposed locations of key project infrastructure identified in the 2026 Pre-Feasibility Study Technical Report. The drilling results confirm that the tested locations remain suitable for the planned infrastructure, and no changes to the current site layout are required.

Mine Geology and Geochemical Modelling

Efforts are underway to build a comprehensive 3D model integrating geology and a multi-element database. To date, over 900 inductively coupled plasma mass spectrometry assays (ICP-MS) have been taken in and around the main Fenn-Gib deposit. Mayfair is continuing to expand the database and model key elements to strengthen the geo-metallurgy model. The final product will also serve in vectoring pathfinder elements to support exploration efforts on the property scale.

Acid-based accounting assays (ABA) are also being included to further support and strengthen the various environmental baseline studies.

Finally, the previously reported grade control program yielded favorable results (see news release dated June 18, 2026). Mayfair is currently considering options to capitalise on those results and potentially do targeted infill drilling to pursue that program.

Quality Assurance and Quality Control

Mayfair Gold maintains a Quality Assurance/Quality Control (QA/QC) program aligned with NI 43-101 requirements and industry best practices. NQ size surface drilling was carried out by Black Diamond Drilling of Matheson, Ontario, and by Wiijiiwaagan Drilling Limited Partnerships of Haileybury, Ontario, under the supervision of Mayfair Gold's exploration team. The drill program includes detailed geological logging and systematic sampling of drill core at Mayfair's secure facility in Matheson, Ontario.

Drill core selected for analysis was cut longitudinally using a diamond‑blade saw. One half of the core was retained in the core box for reference, and the other half was bagged, sealed, and prepared for shipment. Analytical work was completed by Swastika Laboratories Ltd. in Swastika, Ontario. Swastika Laboratories is independent of Mayfair Gold and accredited by the Canadian Association for Laboratory Accreditation Inc. (CALA) and meets the ISO/IEC 17025 standards for gold analysis by fire assay with gravimetric finish and fire assay with flame atomic absorption spectroscopy (FAAS) finish.

Samples were delivered directly to Swastika Laboratories by Mayfair personnel. Samples are crushed to minimum 80% passing 1,700 μm. Samples are then split to obtain a 300–500 g sample using a rotary divider. 300–500 g samples are pulverized to minimum 85% passing 74 μm. Gold assays were completed using a 30‑gram fire assay with FAAS finish. Samples returning gold grades greater than 10 g/t were re‑assayed using a 30‑gram fire assay with gravimetric finish. As part of Mayfair's QA/QC protocol, one certified reference material (CRM), one coarse blank, and one coarse duplicate sample were inserted into the sequence of every 25 samples. Routine third‑party check assays are also performed.

True thickness for condemnation drilling is unknown.

Mayfair Gold is a Canadian development-stage gold company focused on advancing the 100% controlled Fenn-Gib Project in the Timmins region of Northern Ontario. Fenn-Gib hosts a 4.3 million ounce indicated mineral resource of gold (181.3Mt at an average grade of 0.74 g/t) and the expected strategy outlined in the 2026 Pre-Feasibility Study (the "PFS")1 is to develop the project under the provincial permitting process, targeting the higher-grade 1 million ounce probable mineral reserve (25.1Mt at an average grade of 1.29g/t) sitting near-surface, highlighting the optionality and scalability provided by the deposit. The PFS also outlines the potential to develop Fenn-Gib into a new Canadian gold producer, with initial development capital of C$450 million, a base-case payback period of 2.7 years, and cumulative free cash flow2 of US$896 million over the first six years of production based on a US$3,100/oz gold price. The Company is advancing permitting activities, detailed engineering, and stakeholder engagement with the goal of starting construction in 2028 with initial production in 2030. The company also remains focused on exploration around the broader land package with the goal of enhancing mineral resource scale and growth opportunities.

The geological information contained in this news release has been reviewed and approved by Adree DeLazzer, P.Geo., Vice President, Exploration of Mayfair, and the remaining technical information has been reviewed and approved by Drew Anwyll, P.Eng., Chief Executive Officer of Mayfair. Ms. DeLazzer and Mr. Anwyll are Qualified Persons as defined by National Instrument 43-101.

Cautionary Note Regarding Forward-Looking Information

This news release contains certain forward-looking information within the meaning of applicable Canadian securities legislation and forward-looking statements within the meaning of applicable United States securities legislation (collectively, "forward-looking information"). The use of the words "will" and "expected" and similar expressions is intended to identify forward-looking information. Forward-looking information in this news release includes, but is not limited to, the expected strategy to develop the project under the provincial permitting process, de-risking of early years' high-grade feed and cash flow profile, the potential to bring forward higher-grade production, targeting the higher-grade mineral reserve, building and operating the Fenn-Gib Project and all disclosure related to the PFS, including commencement of construction and production. Although Mayfair Gold believes that the expectations reflected in such forward-looking information is reasonable, readers are cautioned that actual results may vary from the forward-looking information. The Company has based the forward-looking information on the Company's current expectations and assumptions about future events. This information also involves known and unknown risks, uncertainties, and other factors that may cause actual results or events to differ materially from those anticipated in such forward-looking information, including the risks, uncertainties, and other factors identified in the annual information form and Form 40-F of the Company for the year ended December 31, 2025, available under the Company's profiles on SEDAR+ at www.sedarplus.ca and EDGAR at www.sec.gov, respectively. Furthermore, the forward-looking information contained in this news release is as at the date of this news release, and Mayfair does not undertake any obligation to publicly update or revise any of this forward-looking information except as may be required by applicable securities laws.

Neither the TSX Venture Exchange ("TSXV") nor its Regulation Services Provider (as that term is defined in the policies of the TSXV) accepts responsibility for the adequacy or accuracy of this news release.

SOURCE Mayfair Gold Corp.

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Canaan Inc. Reports Unaudited Second Quarter 2026 Financial Results

Reached a record 1,915 BTC and 3,952 ETH cryptocurrency treasury[1]

Mined 243 bitcoins in the Second Quarter 2026

Repurchased approximately 16.4 million ADSs for an Aggregate of US$7.4 million as of September 8, 2026

SINGAPORE, Sept. 8, 2026 /PRNewswire/ -- Canaan Inc. (NASDAQ: CAN) ("Canaan" or the "Company"), an innovator in compute and energy infrastructure, today announced its unaudited financial results for the three months ended June 30, 2026.

Second Quarter 2026 Operating and Financial Highlights

Nangeng Zhang, chairman, and chief executive officer of Canaan, commented, "Q2 2026 presented a difficult period for bitcoin mining, as renewed bitcoin price pressure, weaker mining economics, and seasonal power constraints weighed on equipment demand and profitability. Our team responded by staying close to customers, matching production to demand, and protecting liquidity. We generated US$31.9 million in total revenue with 2.5 EH/s of computing power sold during the second quarter. Our mining operations produced 243 bitcoins and continued to generate positive cash contribution before depreciation, supported by competitive power economics, while our digital asset treasury reached a record 1,915 BTC and 3,952 ETH at quarter-end. Beyond revenue generation, we kept our inventory lean, tightened spending and cash-flow management, and further streamlined our organization.

"Despite the quarter's market headwinds, we focused on building the capabilities that we believe are necessary for Canaan's next phase. Together with our partner, we advanced the fleet upgrade at Project ABC, where installed hashrate reached 4.85 EH/s by the end of July. We will continue to explore cost-advantaged sites that can support efficient deployment and cash generation, while advancing collaboration around compute-to-heat reuse applications. On the product side, we kept optimizing the A16 series, focusing on cost-effective air-cooled models and high-temperature water-cooled models, and developed new Avalon Home products for household heating applications, with mass-production preparations underway for the winter heating season. In parallel, we continued advancing our efforts on long-term power resources in North America with further progress. We will provide updates when we reach an appropriate stage for disclosure. As we expand beyond mining equipment and operations into compute-plus-energy infrastructure, these initiatives are designed to improve fleet efficiency, broaden our operating flexibility, and strengthen our foundation for long-term value creation as the industry evolves."

Jin "James" Cheng, chief financial officer of Canaan, stated, "We navigated a demanding Q2 market and generated US$31.9 million in total revenue. Product revenue was US$13.6 million, reflecting softer demand for mining rigs and a lower average selling price for computing power, while mining revenue recorded US$17.7 million amidst bitcoin price pressure and seasonal curtailments. We kept mining-machine production costs relatively stable and held our all-in power cost at a competitive level of around US$0.04/kWh across our mining operations. Nevertheless, our reported results were also affected by several non-cash items, including a US$25.3 million inventory write-down, prepayment write-down, and provision for reserve for inventory purchase commitments, a US$9.2 million impairment of property and equipment, and a US$18.2 million loss of fair value change in cryptocurrency, all of which resulted from a decrease in cryptocurrency prices during the second quarter. These accounting charges weighed on our bottom line but did not alter our focus on cost control, liquidity, and operational efficiency.

"As we enter the second half of 2026, we intend to maintain disciplined inventory levels, preserve financial flexibility, and direct resources toward securing power capacity for our compute-energy infrastructure strategy. We are also applying a more active capital-allocation framework to monetize a portion of our digital asset treasury to fund stock repurchases under the existing program. The Company has deployed an aggregate US$7.4 million to repurchase 16.4 million ADSs under the current share repurchase plan as of today, alongside management's continued share purchases using their personal funds. We believe the Company's current equity valuation understates the combination of our digital asset treasury, cash liquidity, and our mining operations, which continue to generate bitcoin rewards. Repurchasing shares represents an attractive use of capital alongside the exploration of lower-cost power and infrastructure. We will continue balancing near-term resilience with opportunities that can strengthen per-share value and support Canaan's long-term development."

Second Quarter 2026 Financial Results

Total revenues in the second quarter of 2026 were US$31.9 million, compared to US$62.7 million in the first quarter of 2026 and US$100.2 million in the same period of 2025. Total revenues consisted of US$13.6 million in products revenue, US$17.7 million in mining revenue, and US$0.6 million in other revenues.

Products revenue in the second quarter of 2026 was US$13.6 million, compared to US$42.9 million in the first quarter of 2026 and US$71.9 million in the same period of 2025. The sequential and year-over-year decreases were mainly due to the decreased computing power sold and average selling price, resulting from a tightening of overall market demand led by the decline in the bitcoin price.

Mining revenue in the second quarter of 2026 was US$17.7 million, compared to US$19.1 million in the first quarter of 2026 and US$28.1 million in the same period of 2025. The sequential and year-over-year decreases were mainly due to the decrease in the average bitcoin price.

Cost of revenues in the second quarter of 2026 was US$61.2 million, compared to US$85.6 million in the first quarter of 2026 and US$90.9 million in the same period of 2025.

Products costs in the second quarter of 2026 were US$40.3 million, compared to US$62.4 million in the first quarter of 2026 and US$58.8 million in the same period of 2025. The sequential and year-over-year decreases were consistent with the decrease in computing power sold. The inventory write-down, prepayment write-down, and provision for reserve for inventory purchase commitments accrued for this quarter were US$25.3 million, compared to the inventory write-down, prepayment write-down, and provision for reserve for inventory purchase commitments amounting to US$24.5 million for the first quarter of 2026 and the inventory write-down of US$1.0 million for the same period of 2025. Products costs consist of direct production costs of mining machines, and indirect costs related to production, as well as inventory write-down, prepayment write-down, and provision for reserve for inventory purchase commitments.

Mining costs in the second quarter of 2026 were US$20.4 million, compared to US$22.7 million in the first quarter of 2026 and US$32.0 million in the same period of 2025. Mining costs herein consist of direct production costs of mining operations, including electricity and hosting, as well as depreciation of deployed mining machines. The sequential and year-over-year decreases were mainly due to the decreased energized computing power. The depreciation in this quarter for deployed mining machines was US$6.3 million, compared to US$5.8 million in the first quarter of 2026 and US$10.5 million in the same period of 2025.

Gross loss in the second quarter of 2026 was US$29.3 million, compared to a gross loss of US$22.9 million in the first quarter of 2026 and a gross profit of US$9.3 thousand in the same period of 2025.

Total operating expenses in the second quarter of 2026 were US$40.1 million, compared to US$31.4 million in the first quarter of 2026 and US$36.4 million in the same period of 2025.

Research and development expenses in the second quarter of 2026 were US$14.9 million, compared to US$15.4 million in the first quarter of 2026 and US$16.4 million in the same period of 2025. The sequential decrease was mainly due to a decrease of US$0.3 million in staff costs. The year-over-year decrease was mainly due to a decrease of US$4.1 million in staff costs, a decrease of US$0.7 million in share-based compensation expenses, partially offset by an increase of US$3.7 million in research and development expenditure. Research and development expenses in the second quarter of 2026 also included share-based compensation expenses of US$0.6 million.

Sales and marketing expenses in the second quarter of 2026 were US$1.9 million, compared to US$1.2 million in the first quarter of 2026 and US$4.5 million in the same period of 2025. The sequential increase was mainly due to an increase of US$0.6 million in staff costs. The year-over-year decrease was mainly attributable to a decrease of US$2.3 million in staff costs. Sales and marketing expenses in the second quarter of 2026 also included share-based compensation expenses of US$29 thousand.

General and administrative expenses in the second quarter of 2026 were US$15.1 million, compared to US$15.0 million in the first quarter of 2026 and US$16.4 million in the same period of 2025. General and administrative expenses remained stable sequentially. The year-over-year decrease was mainly due to a decrease of US$1.8 million in professional service fees, a decrease of US$0.9 million in share-based compensation expenses, and a decrease of US$0.6 million in staff costs, partially offset by an increase of US$2.6 million in credit loss expense. General and administrative expenses in the second quarter of 2026 also included share-based compensation expenses of US$3.8 million.

Impairment on property, equipment and software in the second quarter of 2026 was US$9.2 million, compared to nil in the first quarter of 2026 and nil in the same period of 2025.

New partnership highlights the importance of finding cancer earlier through Caris Detect, a multi-cancer early detection blood test now available nationwide

IRVING, Texas, Sept. 8, 2026 /PRNewswire/ -- Caris Life Sciences® (NASDAQ: CAI), a leading TechBio company, today announced the launch of its new national campaign titled, "Math," featuring the iconic, award-winning actor, producer and director, Kevin Costner. The partnership is designed to raise awareness of the critical importance of early cancer detection and introduce a national audience to Caris Detect™, Caris' groundbreaking multi-cancer early detection (MCED) blood test.

At the heart of the "Math" campaign is a simple but powerful promise: when cancer is found earlier, patients may have more treatment options and better outcomes. Caris Detect is designed to help individuals gain earlier insight into their health through advanced blood-based testing powered by molecular science and artificial intelligence. By providing information that may help identify cancer-associated signals before symptoms appear, Caris Detect empowers people to take a more proactive role in their healthcare.

Caris Detect is a multi-cancer early detection blood test designed to identify cancer-associated molecular signals in the bloodstream. The test combines ultra-deep Whole Genome Sequencing (WGS), Whole Transcriptome Sequencing (WTS), and advanced artificial intelligence to analyze a broad range of biological signals associated with cancer. Caris Detect analyzes the entire genome and transcriptome to provide a more comprehensive view of molecular patterns associated with cancer compared to approaches that evaluate only a limited subset of biomarkers.

"Early detection remains one of the greatest opportunities to save lives-," said David Dean Halbert, Founder, Chairman and Chief Executive Officer of Caris Life Sciences. "With Caris Detect, we are applying decades of leadership in molecular science and artificial intelligence to help create a future where cancer may be detected earlier, when treatment options are broader and survival rates are improved. Kevin's authenticity, credibility, and ability to connect with people across generations will inspire more people to take a proactive approach to their health."

Costner partnered with Caris because of the company's mission to transform healthcare through earlier detection and advanced molecular science. The campaign highlights a simple belief: when people have access to better information earlier, they can make more informed healthcare decisions.

"Cancer has touched so many families, including people I know and care about," said Kevin Costner, award-winning actor, director and producer. "What attracted me to a partnership with Caris was their commitment to helping people get information earlier and its belief that science and technology can help change what's possible. If a conversation about early detection encourages even one person to become more proactive about their health, that's meaningful. Get the test."

Individuals interested in learning more about Caris Detect may visit CarisDetect.com.

About Caris Detect™

Caris Detect™ is a multi-cancer early detection blood test designed to identify cancer-associated molecular signals using ultra-deep Whole Genome Sequencing, Whole Transcriptome Sequencing and advanced artificial intelligence. The test analyzes a broad range of molecular information to help support earlier detection and more informed healthcare conversations. Caris Detect is designed to complement routine cancer screening and is now available nationwide.

About Caris Life Sciences 

Caris Life Sciences® (Caris) is a leading TechBio company actively developing and commercializing innovative solutions to transform healthcare. Through comprehensive molecular profiling (Whole Genome, Whole Exome and Whole Transcriptome Sequencing), advanced AI and machine learning, Caris has created the large-scale, multimodal clinico-genomic database and computing capability needed to analyze and further unravel the molecular complexity of disease. This convergence of next-generation sequencing, AI and machine learning technologies and high-performance computing provides a differentiated platform for developing the latest generation of advanced precision medicine diagnostic solutions for early detection, diagnosis, monitoring, therapy selection and drug development.

Caris was founded with a vision to realize the potential of precision medicine to improve the human condition. Headquartered in Irving, Texas, Caris has offices in Phoenix, New York, Cambridge (MA), Tokyo, Japan and Basel, Switzerland. Caris or its distributor partners provide services in the U.S. and other international markets.

Forward Looking Statements

This press release contains forward-looking statements, within the meaning of the Private Securities Litigation Reform Act of 1995 and other federal securities laws. All statements other than statements of historical facts contained in this press release are forward-looking statements, including statements regarding our business, solutions, plans, objectives, goals, industry trends, financial outlook and guidance. In some cases forward-looking statements can be identified by words such as "may," "will," "should," "would," "expect," "plan," "anticipate," "could," "intend," "target," "project," "potential," "contemplate," "believe," "estimate," "predict," or "continue" or similar expressions.

You should not rely upon forward-looking statements as predictions of future events. Although we believe that the expectations reflected in these forward-looking statements are reasonable based on information currently available to us, we cannot guarantee that the future results, discoveries, levels of activity, performance or events and circumstances reflected in forward-looking statements will be achieved or occur. Forward-looking statements involve known and unknown risks and uncertainties, some of which are beyond our control. Risks and uncertainties that could cause our actual results to differ materially from those indicated or implied by the forward-looking statements in this press release include, among other things: our future financial performance, results of operations or other operational results or metrics; development, analytical and clinical validation, timing and performance of future solutions by us and our competitors; continued development, performance and commercialization of Caris Detect; commercial market acceptance for our solutions, including acceptance of preventive as well as diagnostic testing paradigms, and our ability to meet resulting demand; the rapidly evolving competitive environment in which we operate; third-party payer reimbursement and coverage decisions related to our solutions; risks related to data management, storage, and processing capabilities and our ability to integrate and deploy artificial intelligence and advanced data analytics technologies; our ability to protect and enhance our intellectual property; regulatory requirements, decisions or approvals (including the timing and conditions thereof) related to our solutions, including our application for New York State Department of Health approval for Caris Assure; reliance on third-party suppliers; risks related to data security, patient privacy, and compliance with healthcare data protection regulations as well as potential cybersecurity threats to our data platforms; our compliance with laws and regulations; the outcome of government investigations and litigation; risks related to our indebtedness; and our ability to hire and retain key personnel as well as risks, uncertainties; and other factors described in the section titled "Risk Factors" and elsewhere in our Annual Report on Form 10-K filed on March 3, 2026, and in our other filings we make with the SEC from time to time. We undertake no obligation to update any forward-looking statements to reflect changes in events, circumstances or our beliefs after the date of this press release, except as required by law.

Caris Life Sciences Media:

Corporate Communications

[email protected]

214.294.5606 

SOURCE Caris Life Sciences

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HOLIFERM & ORGANICA COMBINE TO ACCELERATE GLOBAL BIOTECH INNOVATION AND COMMERCIALISATION

BIRKENHEAD, England, Sept. 8, 2026 /PRNewswire/ -- Holiferm and Organica UK have announced a strategic combination, strengthened by a continued partnership with Sadorp. The transaction brings together Holiferm's biosurfactant innovation and manufacturing with Organica's formulation and finished-product capability, creating a combined business spanning ingredient development, advanced applications, product manufacturing, and commercialisation.

The transaction brings together two British leaders in biotechnology and bio-based production, combining deep science with commercial and finished product capability to accelerate biomanufacturing as one of the defining growth industries of the coming decade.

By coming together, Holiferm and Organica are demonstrating renewed strength for the sector, boosting the global availability of sustainable cost effective and high-performance alternatives to fossil-based chemistry.

The combination blends Organica's formulation of biodegradable and non-hazardous cleaning products with Holiferm's nature-derived biosurfactant technology to create an end-to-end platform that gives global customers access to science and ingredient innovation, and product development and manufacturing.

Holiferm develops and manufactures nature-derived biosurfactants using proprietary fermentation technology, with research, development, and commercial manufacturing in the North West of England. Organica formulates and manufactures biodegradable, non-hazardous household and cleaning products for established UK and international brands.

The two businesses have worked side by side since 2023 and will continue to operate from adjacent sites, giving them room to expand production, accelerate joint innovation, and pursue new growth opportunities together.

Sadorp remains an integral commercial partner to the combined business, bringing established retailer relationships and commercialisation expertise that strengthen the route from product to shelf.

Charles Dimmler, CEO of Holiferm, commented: "This is a milestone as we aim to build an iconic 21st century biochemical company that develops, manufactures and commercialises novel performance ingredients that are better for people and the planet. This strategic combination accelerates our path to profitability and expands our ability to serve customers and partners with real applications development capability. It shows the link between science, engineering and product development all the way through to store shelves. At a time like this, that's a signal I want the whole industry to see: we are very excited for the Holiferm, Organica and Sadorp teams to work even more closely, and we look forward to the innovation we'll deliver as a unified business."

Chris Arthur, Owner of Organica UK, added: "I am very proud of what we have built at Organica over the last 28 years, and this strategic combination marks an exciting new chapter for the business. Joining forces with Holiferm allows us to combine our heritage in high-quality formulation with their groundbreaking biomanufacturing technology. It is a natural partnership that provides our customers with even better, more sustainable cleaning solutions, while maintaining the trusted service and relationships they have come to expect."

Organica was advised by Debretts and Franklins; Holiferm was advised by Brown Rudnick.

Media contact: [email protected]

SOURCE Holiferm

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