LOS ANGELES, Dec. 2, 2025 /PRNewswire/ — Phenimax, a specialty tea retailer devoted to premium organic Japanese teas, is proud to announce a significant achievement. Its flagship organic Temomicha (Hand-rolled Japanese Tea), “Marishi Fuji,” has received the Grand Gold Prize, the highest honor at the World Green Tea Contest 2025 in Shizuoka, Japan.

This prestigious recognition reaffirms the unparalleled quality of Marishi Fuji, a premium hand-rolled Japanese tea crafted from organic Marishi leaves. Earlier this year, it achieved the highest bidding price at Japan’s first green tea auction of the season in May, earning significant acclaim both domestically and internationally. Phenimax also submitted Marishi Fuji to leading international competitions, including the Japanese Tea Selection Paris in France (currently under review).

Phenimax will release a Marishi Fuji Temomicha Set, an exquisite, limited-edition that unites the award-winning Marishi Fuji, a bespoke Arita ware tea set, and traditional Wasanbon confectionery. With only ten sets available, each represents a rare opportunity to experience Japan’s finest artistry. Pricing is available upon individual inquiry, and the set serves as a truly distinguished gift for special occasions.

For details on the “Marishi Fuji Temomicha Set”: https://phenimax.com/pages/world-green-tea-contest-2025-entry

For “Marishi Fuji Temomicha Set” Inquiry: https://phenimax.com/pages/marishi-fuji-purchase-inquiry

Preserving a 400-Year Tradition: Temomicha (Hand-rolled Japanese Tea)

Phenimax is not merely a purveyor of organic teas. We are devoted to preserving and sharing with the world the most exquisite and rare premium green teas, meticulously crafted using the Temomi (hand-rolling) method. This traditional technique, with a history of more than 400 years, was recognized as a National Intangible Cultural Heritage of Japan in 2024. Each batch is hand-rolled for over eight hours after harvest, resulting in a tea of remarkable depth and refinement. Among our offerings is the award-winning Marishi Fuji, part of a collection produced only in limited quantities.

The Secret Behind the Legendary Marishi Cultivar

The Marishi Fuji tea, honored with the Grand Gold Prize, offers a once-in-a-lifetime experience. It is crafted from the elusive Marishi cultivar, a legendary and exceptionally rare strain cherished by connoisseurs.

Unlike the neatly trimmed, dome-shaped rows found in most commercial tea fields, the Marishi tea plants grow freely in a gentle, tree-like form. This natural growth allows sunlight to reach every leaf evenly, nurturing the development of leaves of exceptional quality. Each leaf is cultivated organically and carefully hand-picked, one by one. Only the tender new bud and the two young leaves that have just opened—known as Ichishin Niyo (“one bud, two leaves”)—are selected.

In contrast, most teas on the market are machine-harvested, often including stems and tougher leaves. The meticulous hand-picking process used for Marishi Fuji ensures unparalleled flavor and refinement. These uncompromising standards in cultivation and harvesting are key reasons the tea achieved the highest bidding price and widespread acclaim at this year’s first tea auction.

“Wholefood” Organic Matcha (Under the “Unicross” Brand)

Phenimax is also expanding its offerings with globally rare and innovative organic matcha products. Phenimax has commenced pre-orders for its Japanese Wholefood Organic Matcha. In today’s global market, over 90% of matcha is produced using chemical fertilizers and pesticides, artificially creating a vibrant green color. Phenimax challenges this norm by offering matcha that is not only organic but also Wholefood. Typical matcha sold worldwide removes the leaf veins, stripping away most of the nutrients. Phenimax’s proprietary technology finely grinds the entire leaf, including veins, down to a silky powder, delivering the complete nutritional profile. Additionally, Phenimax has developed the world’s only Japanese Wholefood Organic GABA Matcha (as of October 2025), which boasts an elevated GABA content through special technology. Pre-orders for both are now available.

Organic 100% Uji Matcha – The Rarest of the Rare

For true connoisseurs of ceremonial-grade matcha, Phenimax proudly presents an exceptional creation: organic matcha made exclusively from tea leaves grown in the historic Uji region of Kyoto.

Uji has long been celebrated as the birthplace of Japan’s finest tea, yet it now accounts for only about 4% of the nation’s total production. Under the official definition of Uji teas in Japan, teas blended with leaves from neighboring prefectures such as Mie, Nara, or Gifu may still be sold as “Uji matcha.” As a result, nearly all so-called “Uji” matcha on the market is blended.

Phenimax’s matcha is different. Ours is a true organic 100% Uji matcha—pure, authentic, and almost impossible to find, even in Japan. Limited quantities are now available.

Learn more about our Organic Matcha here: https://phenimax.com/pages/the-hidden-truth-about-matcha

Phenimax – Redefining the Future of Japanese Tea

From one-of-a-kind hand-rolled teas like Marishi Fuji to our collection of organic 100% Uji matcha, wholefood organic matcha, and wholefood organic GABA matcha, Phenimax unites centuries of Japanese craftsmanship with contemporary refinement. Each creation embodies the spirit of purity, patience, and perfection that defines authentic Japanese tea.
Experience the art of tea at its highest form. available through our official website and private inquiry.

Website: https://phenimax.com

The Indonesian driver previously claimed the TGR Asia Esports GT Championship title in 2023

BANGKOK, Dec. 2, 2025 /PRNewswire/ — The TOYOTA GAZOO Racing (TGR) Asia Esports GT Championship 2025 concluded at Toyota Alive Space, Bangkok, where fifteen of Asia’s top sim drivers from Indonesia, Malaysia, the Philippines, Singapore, and Thailand competed across three high-intensity races in Gran Turismo 7.

The championship kicked off with five striking livery designs, each representing the participating countries, bringing vibrancy and identity to the track.

In the individual category, Indonesia’s Andika Rama claimed the top podium spot with a total of 74 points, demonstrating precision, focus, and adherence to his race strategy. First runner-up Moreno Pratama, also from Indonesia, finished with 62 points, while Malaysia’s Chong Kai Chang secured second runner-up with 59 points.

With two drivers on the podium, Indonesia accumulated 169 points across Andika Rama, Farizi Pramaditya, and Moreno Pratama, clinching the Country Championship. Malaysia and Singapore followed in second and third place, earning 151 and 93 points respectively, highlighting consistent performance and strong teamwork over the three races.

Race Highlights

The Suzuka circuit set the tone for an electrifying opening race, with drivers pushing the GR Yaris through its iconic bends and high-speed straights. As the only circuit with wet conditions, the race difficulty was further elevated when an unexpectedly heavy downpour hit the track, turning every lap into a test of reflexes and composure. Drivers had to carefully select and manage their tire compounds, balancing grip and durability to navigate the slippery surfaces, while timing their pit stops strategically to maintain pace without losing precious seconds.

Malaysian frontrunner Taj Aiman seized an early lead, but the spotlight soon shifted to a fierce three-way battle as Andika Rama with Malaysia’s Chong Kai Chang and Iqbal Suji, fought for the podium positions. Spectators were kept on edge as the trio fought corner-to-corner in the slick conditions.

In the final laps, Andika Rama executed a decisive charge to claim victory. Following closely behind were compatriot Moreno Pratama and Chong Kai Chang in second and third place respectively. Despite leading six out of seven laps, Taj Aiman slipped to fourth position after grappling with unfortunate tire issues, marking a dramatic Malaysian-to-Indonesian shift at the top of the results.

The Interlagos leg — the longest circuit yet at 21 laps, nearly three times the length of Suzuka — unfolded under a dramatic day-to-night transition, adding endurance-style complexity to the competition. This was also the first time in the Championship’s history that a full team format race was introduced.

Each team fielded three drivers in the GR010 Hybrid and had to execute two compulsory driver swaps at any point in the race.

This flexible open format placed immense pressure on real-time calls: pitstop strategies, tire management, energy conservation, and maintaining pace as track conditions shifted.

Malaysia, led by opening driver Taj Aiman, established an early advantage, with Singapore’s Fadtris Isa and the Indonesian team trailing close behind. Indonesia and Singapore demonstrated exceptional tire management, stretching their stints and minimising pitstops, while Malaysia, the Philippines, and Thailand cycled through more sets of tires — a choice that would shape the race’s mid-section.

As dusk settled over the Interlagos at Lap 15, Malaysia seized the pit-stop window: Iqbal Suji, the team’s third driver, rejoined the track just as Singapore and Indonesia pitted, reclaiming the lead. By Lap 16, the differing strategies had created a 17-second gap between Singapore and Malaysia.

Malaysia’s carefully timed swaps and teamwork allowed them to extend their advantage in the final laps, ultimately securing first place. Indonesia’s strategy and consistency through evolving conditions earned them second place, while Singapore held strong to claim third.

The final showdown at Watkins Glen unfolded over 14 intense laps, demanding razor-sharp precision and split-second decision-making. Racing in the GR Supra Race Car ’19, Indonesia and Malaysia set the early pace, with Andika Rama continuing his momentum from Suzuka. The field remained incredibly tight, with nearly all drivers separated by less than a second from each other.

A bold early pitstop by the Malaysian team propelled them into the top three by Lap 9. But their strategy came at a cost — rapid tire degradation on the soft compounds forced an additional stop just three laps later to switch onto mediums, opening the door for Indonesia to fight their way back to leading positions.

Singapore’s Fadtris Isa delivered one of the race’s standout moments, climbing into second place and closing in on race leader Andika Rama. His charge briefly reshuffled the leaderboard and kept both Indonesia and Malaysia on alert.

In the final laps, Andika Rama’s precise racecraft and disciplined strategy secured his second individual win of the night, with teammate Moreno Pratama crossing the line in second. Malaysia’s Chong Kai Chang staged an impressive comeback of his own, climbing from seventh to third after his second pit stop — overtaking four competitors in a decisive late-race push to claim the final podium spot at Watkins Glen.

“This year’s TOYOTA GAZOO Racing Asia Esports GT Championship showcased exactly what the TGR philosophy stands for,” said Jaja Ishibashi, General Manager of Toyota Motor Asia. “Every racer pushed their limits, refined their approach, and demonstrated remarkable composure across changing conditions. Beyond the results, what stood out most was the collective commitment to improvement and teamwork. These are values that continue to drive GAZOO Racing forward.”

Responding to his win at the championships — his second TGR Asia Esports GT Championship title since 2023, Andika Rama commented, “Winning the 2025 TOYOTA GAZOO Racing Asia Esports GT Championship is the result of months of preparation and sticking to our race strategies, even as other teams pushed hard and made aggressive pit calls. We focused on refining our approach lap by lap, adjusting in real time while remaining true to our plan. Each corner, each tire change, and each overtaking decision was an opportunity to improve. Seeing our strategy pay off and being crowned Asia’s champion again gives us an incredible sense of pride.”

Echoing Andika Rama’s sentiments, first runner-up Moreno Pratama added, “Competing against the top drivers in Asia was definitely a challenge. Every race tested my focus, adaptability, and determination. Teamwork was evident in every lap for every one of us. In such races, it is not just about speed, but about evolving and supporting one another. I’m proud to have pushed myself to the limit and to have earned a podium finish at the Asia Finals.”

Following his strong performance, second runner-up Chong Kai Chang shared, “Finishing third is bittersweet. I came in aiming for the championship, but earning my first podium spot at the Asia Finals is still a meaningful achievement. Racing against Asia’s best pushes me to keep improving, and I look forward to better accomplishments in my next races.”

Special awards were also given in recognition of drivers’ exceptional performances, with Andika Rama clinching Driver of the Day, Malaysia’s Chong Kai Chang taking home Best Racecraft Driver and Singapore’s Fadtris Isa winning Fastest Race Pace.

The positions were determined from cumulative points earned through finishing positions across all three races, with bonus points for the fastest laps in each of the three races. The top three individuals and teams each received a cash prize of USD 8,000, USD 4,500 and USD 3,000 respectively.

To re-watch the TOYOTA GAZOO Racing Asia Esports GT Championship 2025, please click here.

Hi-res images of event and livery may be downloaded here. 

Appendix

Winners & Prizes

Drivers

Point System of TOYOTA GAZOO Racing Asia Esports GT Championship

Races 

Beyond the main championship, the 2025 Asia Finals weekend delivered a full spectrum of high-octane racing, featuring special exhibition events and fan activations that celebrate the diversity and spirit of the TGR community. 

1. Pro-Am Exhibition Race (Media & Asia Finalists)  

Circuit: Deep Forest Raceway
Car: GR Yaris 

This unique format paired together media representatives from each market with Asia Finalists, blending journalistic curiosity with professional-level racing skill. Media participants will set qualifying times to determine grid positions, setting the stage for a thrilling collaboration between drivers and reporters. 

2. Asia Esports Team Exhibition Race   

Circuit: Race – Road Atlanta 
Car: GR Supra Race Car’19  

This exhibition race brought together 15 esports drivers from five leading Thai esports teams for an intense individual showdown on the virtual Road Atlanta circuit.

3. Time Attack Challenge   

Fans on-site also had the opportunity to experience the racing simulators, setting their best lap times across multiple attempts for a taste of competitive virtual racing.

About the TOYOTA GAZOO Racing Asia Esports GT Championship 2025 

The TOYOTA GAZOO Racing Asia Esports GT Championship 2025 is a regional online race, bringing together the region’s top sim racers to pit their skills against each other in Gran Turismo 7 on PlayStation®41 (PS4®) and PlayStation®51 (PS5®), using a curated line-up of Toyota GR performance models. As a premier regional esports tournament, it showcases the highest level of virtual racing talent across Asia.

Aligned with TOYOTA GAZOO Racing’s global vision, e-Motorsports has become a core pillar of TGR’s motorsport activities — expanding the spirit of racing beyond the physical track. The championship serves as a platform to make motorsports more accessible, inclusive, and engaging for a broader audience, allowing fans and aspiring racers alike to experience the thrill, discipline, and Kaizen-driven mindset that define GAZOO Racing.

About TOYOTA GAZOO Racing (TGR)

TOYOTA GAZOO Racing (TGR) is TOYOTA’s racing company where motorsports activities are a key pursuit of product development. Its ethos builds on a heritage of more than 60 years of excellence in “making ever-better cars”. With this aim, the company takes into account feedback and learnings gained on tough racing roads under harsh environments to create the thrill and joy of racing Toyota GR cars for everyone.

About Toyota Motor Asia

Toyota Gazoo Racing Asia is the motorsports arm at Toyota Motor Asia [TMA], the regional corporate headquarters and subsidiary of Toyota Motor Corporation. TMA leads and supports the Asia region in sales and marketing activities, service parts, accessories and customer services, thus contributing to the overall development of auto industry and the growing economies in the region.

Toyota envisions the future mobility society to bring freedom of movement to all. Moving forward, Toyota will provide a diverse range of mobility services and transportation solutions to people around the world as we transform Toyota into a mobility company.

Eight oral presentations and six posters demonstrate advances in mammography, DBT performance, and density-informed risk modeling

SEOUL, South Korea, Dec. 2, 2025 /PRNewswire/ — Lunit, a leading provider of AI for cancer diagnostics and precision oncology, today announced it will present 14 studies at the Radiological Society of North America (RSNA) 2025 Annual Meeting. Spanning screening mammography, digital breast tomosynthesis (DBT), breast density science, and risk modeling, this year’s program represents one of the company’s most extensive evidence portfolios to date. Lunit will exhibit at South Hall, Booth #4100, and host expert-led sessions in the Lunit Education Room #1252 throughout the meeting.

Among the highlighted research, real-world results from Capio S:t Göran Hospital in Sweden evaluated more than 193,000 screening examinations before and after the introduction of Lunit INSIGHT MMG. When AI was paired with a single radiologist, the screening program achieved higher invasive cancer detection, greater positive predictive value, and fewer unnecessary recalls compared to human-only double reading—reinforcing findings from the ScreenTrustCAD interventional trial and demonstrating that AI-integrated single reading can maintain or improve accuracy while alleviating workforce pressure.

New evidence from Massachusetts General Hospital assessed AI performance on screening DBT using 1,000 retrospective examinations, showing that Lunit INSIGHT DBT correctly localized 84.4% of true-positive cancers, with particularly strong performance for mass-presenting and invasive ductal carcinoma cases. The study also detailed cancer subtypes less likely to be identified by AI, offering practical insight into the algorithm’s strengths and limitations as DBT adoption accelerates worldwide.

Further expanding the evidence base, two oral presentations from Elizabeth Wende Breast Care explored how volumetric breast density, as quantified by AI-powered algorithms, and family history influence risk stratification across leading models, and how density changes over time affect prediction consistency. In a cohort of 44,651 women, Tyrer-Cuzick classified substantially more women as high-risk than BOADICEA, driven by heavier weighting of density and family history inputs. A complementary longitudinal analysis of 335,000+ images demonstrated that incorporating volumetric breast density over time improved calibration and discrimination, while static or categorical density inputs consistently underestimated cancer incidence. Together, these findings strengthen the role of density-informed and longitudinal risk modeling in supporting risk-adapted screening strategies.

Lunit will also host a series of expert-led sessions in its Education Room #1252, offering deeper clinical and scientific perspectives on key themes presented at RSNA. Highlights include:

• Image-Based Risk (Nov 30, 1:30–2:00 PM CST)

  A cross-disciplinary discussion featuring Drs. Graham Colditz, Joy Jiang, and Hari Trivedi, exploring how image-based risk complements traditional models and what this means for more personalized, risk-adapted screening strategies.

• Interval Cancer Detection with AI (Dec 1, 11:30 AM–12:00 PM CST)

  Prof. Fiona Gilbert (University of Cambridge) will present new evidence on the ability of AI to identify interval breast cancers typically missed during routine screening, outlining how AI-supported detection could reduce missed cancers and improve population-level screening outcomes.

• Academic Leadership in AI Adoption (Dec 2, 10:30–11:00 AM CST)

  Drs. Liz Morris (UC Davis Health) and Elizabeth Burnside (University of Wisconsin–Madison) will compare two distinct approaches to implementing breast AI in academic environments. The session will examine evidence, ethics, and practical considerations for responsible adoption.

• Real-World DBT Performance (Dec 2, 4:30–5:00 PM CST)

  Dr. Manisha Bahl (Mass General) will share new clinical data on how Lunit INSIGHT DBT performs in digital breast tomosynthesis workflows, highlighting improvements in cancer detection, diagnostic consistency, and the potential to reduce interval cancer rates when integrated into routine practice.

“RSNA is where the field looks to understand whether AI is delivering measurable clinical value, and this year’s program reflects that momentum,” said Brandon Suh, CEO of Lunit. “Across mammography, DBT, and density-driven risk modeling, our studies highlight how rigorously validated AI can enhance screening performance, support radiologists, and strengthen the foundation for risk-adapted care. We remain committed to generating evidence that drives responsible and meaningful adoption in clinical practice.”

###

About Lunit

Founded in 2013, Lunit (KRX: 328130) is a global leader on a mission to conquer cancer through AI. Our clinically validated solutions span medical imaging, breast health, and biomarker analysis—empowering earlier detection, smarter treatment decisions, and more precise outcomes across the cancer care continuum.

Lunit offers a comprehensive suite spanning risk prediction and early detection to precision oncology. Our FDA-cleared Lunit INSIGHT suite and breast health solutions support cancer screening in thousands of medical institutions worldwide, while the Lunit SCOPE platform is used in research partnership with global pharma and laboratory leaders for biomarker research, and companion diagnostic development.

Trusted by over 10,000 sites in more than 65 countries, Lunit combines deep medical expertise with continuously evolving datasets to deliver measurable impact—for patients, clinicians, and researchers alike. Headquartered in Seoul with global offices, Lunit is driving the worldwide fight against cancer. Learn more at lunit.io/en.

Appendix – Lunit RSNA 2025 Full Study List

Oral Presentations (8)

• #1 T3-SSBR05, COMPARING FOUR COMMERCIAL AI ALGORITHMS FOR STANDALONE BREAST CANCER DETECTION ON DIGITAL BREAST TOMOSYNTHESIS IN A DUTCH POPULATION-BASED SCREENING COHORT—Sarah D. Verboom, MSc, Radboud university medical center
• #2 T3-SSBR05, MAMMOGRAPHY BREAST CANCER SCREENING TRIAGE USING DEEP LEARNING: RETROSPECTIVE COMPARISON OF 7 COMMERCIAL AI ALGORITHMS—Joshua Rothwell, University of Cambridge
• #3 W2-SPBR, EXPLORING HOW AI INFLUENCES HUMAN DECISION MAKING AND GAZE BEHAVIOUR DURING MAMMOGRAPHY INTERPRETATION—Yan Chen, PhD, Nottingham University
• #4 W3-SSER02, COMPARISON OF THE ACCURACY OF ARTIFICIAL INTELLIGENCE SOFTWARE FOR THE DETECTION OF PNEUMOTHORAX ON CHEST RADIOGRAPHS—Katrina Nash, MBChB, Oxford University Hospital
• #5 M7-SSBR04, EVOLUTION OF BREAST CANCER SCREENING: FROM HUMAN-ONLY DOUBLE READING VIA AI-INTEGRATED DOUBLE READING TO AI-INTEGRATED SINGLE READING—Karin Dembrower, MD, PhD, Karolinska Institute
• #6 S5-SSBR02, COMPARING HIGH RISK ESTIMATIONS USING VOLUMETRIC BREAST DENSITY WITH TYRER-CUZICK AND BOADICEA RISK MODELS—Stamatia V. Destounis, MD, Elizabeth Wende Breast Care
• #7 M7-SSBR03, IMPACT OF BREAST DENSITY CHANGE OVER TIME ON RISK MODEL CALIBRATION AND PREDICTION ACCURACY—Stamatia V. Destounis, MD, Elizabeth Wende Breast Care
• #8 M7-SSBR04, COMPARISON OF BREAST DENSITY AND AJCC BREAST CANCER PATHOLOGICAL PROGNOSTIC STAGE IN SCREEN DETECTED AND INTERVAL CANCERS IN A UK PROGRAMME—Fleur Kilburn-Toppin, MBBChir, MA, University of Cambridge

Poster Presentations (6)

• #1 R5B-SPBR, OPTIMIZING AI POSITIVE FINDINGS ON PRIOR NEGATIVE MAMMOGRAMS FOR CONTRALATERAL BREAST CANCER DETECTION AFTER BREAST CANCER SURGERY: DISTINGUISHING TRUE FROM FALSE POSITIVES—Eun Kyung Park, MD, PhD, Seoul National University
• #2 S3A-SPBR, WHAT AI SEES – AND WHAT IT DOESN’T: EVALUATING THE DETECTION OF BREAST CANCER SUBTYPES ON SCREENING DIGITAL BREAST TOMOSYNTHESIS—Manisha Bahl, MD, MPH, Massachusetts General Hospital
• #3 M5A-SPBR, A BIOPHYSICS-BASED COMPUTATIONAL APPROACH BOTH OUTPERFORMS AND SYNERGIZES WITH A COMMERCIAL MAMMOGRAPHIC DENSITY ASSESSMENT SOFTWARE FOR BREAST CANCER PREDICTION—Andre Khalil, PhD, MS, University of Maine
• #4 M5A-SPBR, ARTIFICIAL INTELLIGENCE-DERIVED MAMMOGRAPHY SCORES CAN PREDICT ONCOTYPE DX RISK SCORES IN ESTROGEN RECEPTOR POSITIVE BREAST CANCERS—Jung-Oh Lee, MD, MSc, Seoul National University
• #5 T5A-SPBR, AI-BASED MAMMOGRAPHY SCORES FOR PREDICTING PATHOLOGIC AXILLARY METASTASIS AFTER NEOADJUVANT CHEMOTHERAPY IN BREAST CANCER PATIENTS—Na Lae Eun, MD, PhD, Severance Hospital
• #6 T5A-SPBR, ARTIFICIAL INTELLIGENCE (AI)-BASED MAMMOGRAPHY SCORES FOR PREDICTING PATHOLOGIC COMPLETE RESPONSE IN BREAST CANCER PATIENTS RECEIVING NEOADJUVANT CHEMOTHERAPY—Na Lae Eun, MD, PhD, Severance Hospital

New solution harnesses Solace’s market-leading real-time data platform to enable enterprises to build and orchestrate robust and reliable single and multi-agent AI applications

LAS VEGAS, Dec. 2, 2025 /PRNewswire/ — AWS re:Invent 2025, Booth # 1570 — Solace, the real-time data and agentic AI company, today announced general availability (GA) of Solace Agent Mesh Enterprise, an open agentic AI platform that enables organizations to build, deploy and operate intelligent and well-governed AI-powered applications – from simple single-agent to powerful multi-agent orchestrated solutions – that interact in real-time with enterprise applications and data.

Agentic AI promises greater productivity and increased competitiveness, with a recent industry report indicating it can accelerate business processes by up to 50 percent and reduce low-value work time by up to 40 percent, thanks to autonomous decision-making and continuous learning capabilities. Getting there remains a challenge, however, as organizations struggle to move agentic AI applications from experiments into production, providing access to enterprise applications and data while ensuring security, observability, and trust.

Additionally, IDC states: “Agentic AI will require event-driven data architectures to continuously provide high-quality, relevant, and contextual data products to support the dynamic nature of agentic business activities. Supporting agentic AI at scale demands use of autonomous agents within enterprise intelligence architectures, automating data management, governance, and synthesis functions.” *

Solace Agent Mesh addresses these challenges, providing the capabilities required to create, deploy and manage agentic AI solutions in a secure, governed and scalable way. Built on a proven event-driven platform, Solace Agent Mesh fundamentally transforms how agentic AI systems serve users, respond to business events and integrate with enterprise data, offering:

• Faster time to innovation: enterprises can rapidly innovate by integrating and orchestrating native and third-party AI agents, enabling faster experimentation, accelerated development, and quicker time-to-market
• Improved user experience: business users can talk with their data using their preferred user interfaces, with broad access to enterprise applications and data, whether real-time or static knowledge bases
• Greater scalability and reliability: Solace Agent Mesh uses parallel agent execution and asynchronous communication between all agents, enabling horizontal scaling to production levels while also providing a stronger level of resilience in response to system failures and implementing hot agent upgrades
• Increased operational efficiency: Solace Agent Mesh’s unique intelligent data management helps minimize LLM costs, while significantly improving performance and accuracy
• Comprehensive security: strong agent-based access control, SSO, action-level permissions, and user delegated access deliver the critical security, governance and compliance required for AI agent-driven solutions

“There are many challenges to overcome in relation to enabling AI agents to take automated actions and there is a case to be made for involving experts in inter-application communication,” said Matt Aslett, Director of Research, Analytics and Data, ISG Research. “Solace is well-placed to address this opportunity with Solace Agent Mesh, which provides the core capabilities required for communication between agents and will enable Solace customers and prospects to build on existing investments in microservices and EDA as they move towards agentic AI.”

The Forrester Wave™: Streaming Data Platforms, Q4 2025 notes: “Solace’s event-driven agents stand out: they help enterprises build responsive, real-time, event-driven applications and enable high-performance streaming for enterprise applications.” **

Secure, Scalable and Enterprise-grade functionality

Solace Agent Mesh was built from the ground up as an open, flexible platform designed to make it easy for enterprises to experiment with single or multi-agent systems to deliver on their agentic AI objectives, from simple uses cases to the most demanding distributed organization-wide production deployments.

Key features include:

• No-code Agent Builder: both pro-code agent building, as well as an AI-assisted, form-based interface for creating agents without writing code
• Dynamic Agent Orchestration: Solace Agent Mesh uses an intelligent orchestrator to break down inputs into tasks and assign them to the right agents in real time. It can also follow prescriptive workflows when it is critical to operate in specific ways
• Connectors: out-of-the-box SQL, API, and MCP connectors provide simple and broad connectivity to enterprise applications and data, both real-time and static knowledge bases
• Gateways: business users can use their preferred tools such as web chat, Slack or Microsoft Teams to interact with Agent Mesh, as well as set up Agentic Process Automation workflows invoked through events, enterprise application APIs and Webhook
• Governance and Access Control: gateways serve as controlled entry points into the framework, granting access to the agent ecosystem through different interfaces like events, APIs, web chat, Slack, and Microsoft Teams. Solace Agent Mesh offers single sign-on authentication as well as granular authorization and role-based access control, ensuring agents interact with applications and data with the permissions of the requesting user
• Intelligent Data Management: innovative intelligent data management helps reduce LLM compute costs and avoids hallucinations through in-platform data operations and passing only relevant information to the LLM
• Full Activity Observability: built-in workflow viewer and real-time observability tools enable comprehensive monitoring and tracking of LLM interactions, agent workflows, and system performance to build system trust and help debug
• Enterprise-scale Architecture: decoupled, asynchronous orchestration of agents supports efficient parallelization of operations, enabling agentic AI projects to easily scale from Proof-of-Concept to production

“Agentic AI has completely changed the face of business, and requires revolutionary solutions to continue to fuel its unprecedented growth. Solace Agent Mesh Enterprise is the net result of a bold vision on how organizations can better harness the power of agentic AI,” said Shawn McAllister, CPO and CTO at Solace. “Organizations can quickly go from experiments to full scale enterprise production with fast development, and secure access to enterprise context, all powered with the proven robustness of an event driven architecture. Agent Mesh is designed to meet the ever-evolving needs of increasingly connected, real-time, and intelligent enterprises.”

Prospective organizations can register to join the Solace Agent Mesh pilot program. In addition to Solace Agent Mesh Enterprise, Solace offers open-source Solace Agent Mesh Community available on GitHub, providing developers with an event-driven framework for seamlessly integrating AI agents with real-world data sources and systems. 

Learn more

• Connect with Solace for a personal demo at AWS re:Invent, Booth 1570, December 2-5, 2025
• Read our blog on the Solace Agent Mesh Enterprise launch
• Read our key takeaways on Gartner’s August 2025 report, Innovation Insight: AI Agent Development Frameworks, which lists Solace as one of eight representative vendors

Market Leadership

Over the past two decades, Solace has built a reputation for delivering real-time data solutions that are trusted by enterprises with the most demanding operational use cases. Today, Solace delivers real-time data orchestration across systems, clouds and AI agents for many of the top organizations spanning key industries, such as Bosch in manufacturing; Heineken in consumer goods; Schwarz Group in retail; RBC Capital Markets in financial services; and PSA Singapore in transportation & logistics.

* IDC Tech Buyer, Agentic AI Impact on Enterprises: From the Tech Stack to the Future of Work and Services, US53272524, April 2025
** Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. Read about Forrester’s objectivity here.

About Solace:

Solace helps organizations operate in real-time through the power of events. With its real-time data and agentic AI platform, Solace delivers scalable, event-driven capabilities to bring together agents, applications and data across legacy, cloud, and AI systems. Established enterprises worldwide trust Solace to enable intelligent, time-sensitive experiences; modernize their application and integration landscape; and create seamless digital journeys for their customers, partners and employees. Learn more at solace.com.

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