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Trusted voices, peer validation, and relatable customer situations drive commercial and brand success in B2B campaigns

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WARC LinkedIn
  • Buyability gives marketers a seven-signal framework to turn creative attention into buyer confidence and business growth
  • The 3Rs that make B2B brands more buyable: Recommendations, Relationships and Relatability
  • Buyability is underused: Most B2B campaigns are deploying fewer than two Buyability principles today
  • High Buyability campaigns are 63% more likely to report increased ROI and 2.1x as likely to report increased incremental revenue

New WARC X LinkedIn X LIONS Advisory research: How to build more Buyable brands: How Recommendations, Relatability and Relationships drive campaign success

15 September 2026 – B2B buying has changed. Cycles now stretch 272 days with 22 stakeholders, and decisions are driven by social and emotional factors. Additionally, AI is changing how B2B buyers discover, research, and validate brands, with research finding that 94% of B2B buyers used LLMs during their buying journey in 2025.

 




 
 

New research from WARC, LinkedIn, and LIONS Advisory reveals that the most effective B2B creative does more than build awareness, it strategically builds decision defensibility. An analysis of more than 700 best-in-class B2B campaigns found that the strongest performers consistently helped buyers feel more confident choosing a brand.

The research leverages LinkedIn and Bain & Company’s existing body of work on Buyability, showing how creative influences purchase decisions. It identifies seven Buyability signals including trusted recommendations, peer validation and relatable customer situations or the 3Rs — Recommendations, Relatability, and Relationships. The findings provide marketers with a practical playbook for creating campaigns that drive both brand impact and business outcomes.

The 3Rs of Buyability: Recommendations, Relationships and Relatability

In B2B buying, first-hand experience and trusted recommendations drive vendor selection far more than performance or price, and ‘similar customer’ messaging outperforms ‘market leader’ claims.

The three main levers of Buyability (the 3Rs) that consistently increase buyer group confidence, drive commercial impact and should be a CMO’s top priority are:

Recommendations: The proof and validation from customers, peers, experts or trusted voices.
Relationships: Signals of wanting long-term partnership, existing familiarity.
Relatability: Real customer situations, use of cases and experiences that buyers can recognise.

Brands that can credibly demonstrate peer validation, customer relevance and risk reduction are more likely to appear in LLM shortlists and more likely to be deemed highly buyable by B2B purchasing organisations.

Imaad Ahmed, Thought Leadership Director, LIONS Advisory and WARC, says: “The Buyability model has gained strong support from across the B2B industry. This new work seeks to demonstrate the impact Buyability has in real case scenarios, and what proof points exist. The objective of our research was to measure how frequently Buyability signals appear in B2B campaigns, and whether more signals drive better results. As we discovered, the intentional use of Buyability signals is still an area of opportunity for B2B marketers. When well-stacked within a campaign, Buyability signals can make revenue, ROI and brand health uplifts far more likely.”

Mimi Turner, Head of Marketplace Innovation, LinkedIn, says: “Buyability gives us a seven signal framework that marketers can use to strategically enhance campaign outcomes because it is built on insights into what helps buying groups feel confident to buy. The campaigns that win are the ones that make buying decisions easy to defend by focusing on areas that customers can relate to and experiences and voices they can trust.”

Introducing the seven signal Buyability framework – a new roadmap for B2B marketers

The Buyability framework outlines seven signals for future campaigns that are mapped back to one of the 3Rs, and that make brands discoverable in AI models, are credible across diverse stakeholders, and defensible as the no-risk option. This all helps marketers build buyer confidence strategically.

It is no longer sufficient for B2B marketing to increase awareness and consideration. It needs to prove that it directly generates sales. Brands are recommended to strategically and intentionally build more Buyability signals into their communication programmes.

Messaging that leverages the 3Rs increases brand discoverability, grows brand credibility and helps buyers justify and feel confident in their decisions.

Key findings from the research are:

1. Buyability signals are underused: Buyability signals remain significantly under-leveraged in B2B campaigns, averaging just 1.6 overall. Nearly one-third (30%) of campaigns use only a single signal, while 22% use none at all. Less than a quarter of all campaigns deploy three or more signals. This gap presents a clear opportunity for B2B marketers to gain competitive advantage by adopting Buyability as a strategic framework.

2. Buyability signals drive brand performance: Campaigns with stronger Buyability signals are significantly more likely to improve meaningful brand metrics. High Buyability campaigns are 24% more likely to report improvements in brand awareness and 91% more likely to report improvements in mid-funnel brand metrics like consideration, preference and purchase intent.

3. Buyability signals drive commercial impact: Campaigns with more Buyability signals are more likely to generate ROI and incremental revenue. Compared to Low Buyability campaigns, High Buyability campaigns are 63% more likely to report increased ROI and 110% more likely to report increased incremental revenue to the business.

‘‘How to build more Buyable brands: How Recommendations, Relatability and Relationships drive campaign success’’ report is available to read in full here.

Methodology of the research

The research analysed 700 B2B campaigns from the WARC database from 2010 to 2025 – including entries and winners of the Cannes Lions B2B category, Effies and WARC Effectiveness awards – and across geographies and sectors. The dataset was independently ranked against the WARC, LIONS and B2B Institute B2B Effectiveness Ladder, and scored on Buyability signals. High Buyability campaigns (3-7 signals) were compared against Low Buyability (0-2 signals).
 




 

Tech

OPPO Find X10 Series Launches Globally with True-to-Life Imaging and All-Round Flagship Upgrades

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SHENZHEN, CHINA – Media OutReach Newswire – 22 October 2026 – Leading global smart device brand OPPO today announced the global launch of its latest flagship smartphones, Find X10 and Find X10 Pro Max. Built to be a “Hasselblad True-to-Life Camera,” Find X10 Series brings major advances in camera hardware and computational photography to deliver a more true-to-life imaging experience. Beyond imaging, the series introduces refined designs, upgraded displays, larger batteries, flagship performance and the new ColorOS 17.

 




 
 

“Find X Series has always been driven by our commitment to push mobile imaging forward and help people effortlessly capture the beauty of life,” said Pete Lau, SVP and Chief Product Officer at OPPO. “With Find X10 Series, we are making one of our biggest leaps yet in mobile imaging. From an industry-first Triple 200MP Camera System on Find X10 Pro Max to the next-generation LUMO True Image Engine, Find X10 Series is built to reproduce the world as you see it and keep every shot true to the moment.”

Industry-First Triple 200MP Camera System

Find X10 Series introduces a new-generation camera system co-developed with Hasselblad. Find X10 features a Dual 200MP Camera System, while Find X10 Pro Max pushes further with a Triple 200MP Camera System, bringing 200MP resolution across all three rear cameras.

On Find X10 Pro Max, the Hasselblad 200MP Ultra-Wide Camera features a large 1/1.56-inch sensor that captures twice as much light as the previous generation, paired with a 124° ultra-wide autofocus lens. The Hasselblad 200MP Ultra HDR Main Camera uses the new 1/1.28-inch ISOCELL HPC sensor, jointly developed by OPPO and Samsung and featuring DeepPix technology for breakthrough HDR performance. Completing the system, the Hasselblad 200MP Telephoto Camera combines an ultra-fast f/2.1 aperture with a 10cm minimum focusing distance, enabling cleaner low-light telephoto shots while also doubling as a telemacro camera.

Making this high-resolution hardware more practical for everyday use, Find X10 Series introduces industry-first 26MP default capture from ultra-wide through 9.9x. This delivers substantially more detail than conventional 12MP capture while keeping file sizes manageable. For maximum resolution, users can switch to Hasselblad Hi-Res Mode to capture 50MP or 200MP images on supported cameras.

To reach even further, the OPPO Hasselblad Teleconverter extends the capabilities of the 200MP telephoto camera on both Find X10 and Find X10 Pro Max. With 3.28x optical magnification, it opens up new possibilities for capturing distant subjects, from concerts and cityscapes to wildlife.

LUMO True Image Engine: True-to-Life Imaging

Building on its breakthrough camera hardware, Find X10 Series debuts OPPO’s next-generation computational photography solution, LUMO True Image Engine. By combining OPPO’s latest imaging expertise with a more natural approach to image processing, LUMO True Image Engine is designed to preserve true-to-life color, tone and detail, helping photos stay faithful to the original scene.

Accurately reproducing color can be especially challenging under complex or mixed lighting. Find X10 Series features a New-Generation True Color Camera to capture richer multispectral color information from the surrounding environment. With this additional data, LUMO True Image Engine can reproduce colors more accurately across different lighting conditions, from subtle landscape tones to natural-looking skin tones.

For tonal rendering, LUMO True Image Engine brings the distinctive tonal approach of Hasselblad Master Mode into the default Photo mode. Rather than aggressively brightening every part of an image, it preserves the natural relationship between light and shadow, helping retain depth and atmosphere in challenging scenes such as backlit portraits.

LUMO True Image Engine also takes a more restrained approach to detail processing. By reducing excessive sharpening, noise reduction and AI-generated detail, it preserves more of the genuine texture and optical detail captured by the camera.

Combining LUMO True Image Engine with the 200MP camera system, which captures richer optical information at the source, Find X10 Series delivers images that stay true not only to the scene itself, but to the richness of the moment as it was experienced.

Professional Video Across Every Focal Length

Find X10 Series brings major upgrades to video. Find X10 supports 4K 60fps recording across all rear cameras, with its 200MP main and telephoto cameras additionally supporting 4K 120fps and 8K 30fps. Find X10 Pro Max takes this further, with all three 200MP rear cameras supporting 4K 60fps, 4K 120fps and 8K 30fps, delivering consistently high-quality video across focal lengths.

On Find X10 Pro Max, DeepPix technology on the 200MP main camera enables up to 17 stops of dynamic range, preserving more information across highlights and shadows in demanding scenes. Whether shooting a backlit portrait, illuminated signs in a city nightscape or fireworks against a dark sky, creators can retain more detail across both the brightest and darkest parts of the frame.

For more advanced production workflows, Find X10 Series supports Dolby Vision, ACES-certified O-Log2 and, for the first time on an OPPO smartphone, Open Gate Capture. Open Gate uses the full imaging area of the sensor to capture more of the original frame, giving creators greater flexibility to crop and reframe the same footage for different aspect ratios during post-production.

OPPO has also worked closely with Blackmagic Design to bring key Find X10 Series capabilities directly into Blackmagic Camera[1], including Dolby Vision, O-Log2 and Open Gate Capture, giving creators greater flexibility within a familiar professional shooting workflow.

For Find X10 Pro Max, the dedicated Tilta Khronos Creator Kit further extends its capabilities for professional shooting. The kit includes an additional handle, a 67mm filter adapter, an adapter for the OPPO Hasselblad Teleconverter, and an active cooling fan to help manage device temperature during extended video recording. Together, these accessories better equip creators for longer and more demanding shoots.

OPPO has also worked closely with Meta to optimize the video-sharing experience on Instagram. With Find X10 Series, users can now enjoy near-lossless video quality from capture to share, helping preserve the detail, color and overall look of the original footage when shared on Instagram.

Refined Design with BT.2020 Displays

Find X10 Series carries forward the Find X Series’ clean and sophisticated design language. Its all-new Borderless Design features One-Piece Sculpted Glass that flows seamlessly into the camera module, softening the visual impact of the camera bump for a clean, cohesive look.

Find X10 will be available in Glacier Blue, Glow Coral and Mist Grey, with Find X10 Pro Max offered in Titanium Grey and Luna White. Inspired by classic cameras, Luna White combines a silver LUMO Camera Island, a signature matte orange accent ring on the camera module and a distinctive two-tone finish.

Find X10 Series also offers comprehensive durability, with IP66, IP68 and IP69 water and dust resistance[2], alongside SGS Five-Star Drop Resistance Certification.

Both models feature flagship displays with ultra-thin symmetrical bezels. Find X10 combines a compact 6.59-inch display with an easy-to-hold form, while Find X10 Pro Max features a larger 6.78-inch display. Both support up to a 144Hz LTPO adaptive refresh rate and 3,600 nits peak brightness, with Dolby Vision certification. For more comfortable viewing in low light, the displays can dim to just 1 nit and support up to 3,840Hz high-frequency PWM dimming to help reduce visible flicker.

Thanks to a new generation of OLED light-emitting materials, Find X10 and Find X10 Pro Max are also among the first smartphones to support the BT.2020 color gamut. Compared with DCI-P3, BT.2020 covers around 40% more color space and is widely used in professional film production. When displaying HDR content, Find X10 Series can reproduce a broader range of colors, particularly in scenes with bright, saturated elements such as fireworks and vivid natural landscapes.

Massive Battery, Flagship Performance

Both Find X10 and Find X10 Pro Max feature up to an 8,000mAh OPPO Silicon-Carbon Battery[3], delivering a substantial upgrade in battery life. Whether capturing photos, recording video, gaming or simply getting through a busy day, the larger battery gives users greater confidence to keep going without constantly worrying about power.

Both models support 80W SUPERVOOC™ wired charging and 50W AIRVOOC™ wireless charging, enabling fast and convenient top-ups whenever needed.

Find X10 is powered by the 3nm MediaTek Dimensity 9600M. Find X10 Pro Max steps up to the flagship 2nm MediaTek Dimensity 9600 Pro. Both are paired with advanced vapor chamber cooling to help sustain performance under demanding workloads. The result is fast, sustained performance across imaging, AI, gaming and everyday multitasking.

ColorOS 17: Silky Smooth. Flow with AI

Find X10 Series debuts ColorOS 17, delivering a new level of smoothness alongside more intelligent, system-level AI capabilities.

The new Living Flow Design makes interactions feel more natural, continuous and responsive across the system. Luminous Effect adds softer visuals and greater depth, Fluid Motion enables interface elements to move and transform seamlessly, while Flexible Feedback makes controls respond more naturally to touch.

Powering this ultra-smooth experience, the Luminous Rendering Engine improves rendering efficiency, while the Laminar Flow Engine intelligently coordinates system resources to maintain fast and responsive performance. Compared with ColorOS 16, app launch stability improves by 55%, Gallery thumbnails load up to 50% faster on first launch, and ColorOS 17 can keep over 25% more apps running in the background for smoother multitasking[4].

ColorOS 17 also brings more capable system-level AI experiences. AI Mind Pilot with Agent Mode allows users to ask AI to work directly with photos and files stored on the device, search across information and coordinate multiple steps to complete more complex tasks, from organizing files and planning trips to creating presentations and webpages. Through OPPO’s collaboration with Manus, AI Mind Pilot with Agent Mode combines Manus’ agentic capabilities with ColorOS 17’s system-level integration.

AI Photo Agent makes advanced photo editing more intuitive while staying true to the natural look of the original scene. It can analyze a photo and recommend suitable adjustments based on the scene and subject, apply targeted edits through natural-language instructions, or use Style Match to understand the color palette, tone and overall mood of a reference image before applying a similar look to the user’s own photo[5].

Privacy and security remain at the core of ColorOS 17. AI Call Guard uses on-device AI to detect emerging fraud risks such as synthetic voices and AI face swaps during calls[6]. OPPO’s Private Computing Cloud protects cloud-based AI processing with end-to-end encryption and new post-quantum security capabilities.

OPPO Find X10 and Find X10 Pro Max Availability

OPPO Find X10 and Find X10 Pro Max will be available globally beginning in late October. The devices will be offered through official OPPO stores, authorized retailers and partner carriers across global markets. For detailed information about pre-orders and launch promotions, visit oppo.com/global or follow OPPO’s official social media channels.

[1] The version of Blackmagic Camera optimized in collaboration with OPPO is scheduled to be available in November.

[2] This product is water-resistant and dust-resistant under normal usage conditions. Under controlled laboratory conditions, it has been tested to achieve IP66, IP68, and IP69 ratings in accordance with GB/T 4208-2017 (China) / IEC 60529-2013 (International) standards.

IP66 test conditions: (i) nozzle inner diameter: 12.5 mm; (ii) water flow: (100±5) L/min; (iii) water pressure: adjusted per specified flow; (iv) main water flow center: circular area of approx. 120 mm diameter at 2.5 m from nozzle; (v) nozzle-to-enclosure distance: 2.5–3 m; (vi) test duration: 3 minutes; (vii) water temperature difference from sample ≤ 5K.

IP68 test conditions: (i) still fresh water, depth 1.5 m; (ii) test duration: 30 minutes; (iii) water temperature difference from device ≤ 5 °C.

IP69 test conditions: (i) turntable speed: (5±1) r/min; (ii) nozzle angles: 0°, 30°, 60°, 90°; (iii) flow rate: (15±1) L/min; (iv) water temperature: (80±5) °C; (v) test duration: 30 seconds per position; (vi) device placement: horizontal, screen facing upward.

Do not charge the phone while wet. Real-life scenarios differ from laboratory conditions; do not immerse the phone in water or expose it to seawater, beverages, or other liquids. After rain, immersion, or splashing, liquid may block the microphone, earpiece, or speaker, causing abnormal sound performance. Drying naturally after shaking off excess water may restore functionality. Water and dust resistance may decrease due to normal wear and tear.

[3] Battery capacity varies by country and region. In certain markets, Find X10 Series comes with a dual-cell 7,150mAh battery.

[4] Data from OPPO Lab.

[5] AI Photo Agent will roll out gradually across multiple countries. Monthly usage limits apply and vary by country or region. This feature supports static images only.

[6] Available in Indonesia, India and Thailand.

  




 

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Business

Cassava Artificial Intelligence (AI) deploys NVIDIA Nemotron to accelerate agentic AI adoption across its markets

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Cassava is deploying NVIDIA Nemotron models as a locally hosted, managed inference service through the Cassava AI Multi-Model Exchange (CAIMEx)

BERLIN, Germany, October 21, 2026/APO Group/ –Cassava Technologies (www.CassavaTechnologies.com), a global technology leader, has announced the expansion of its AI Factory capabilities with NVIDIA Nemotron open models, helping enterprises and service providers to grow and innovate with AI more effectively and affordably.

 




  

Cassava is deploying NVIDIA Nemotron (https://apo-opa.co/4dRrqnx) models as a locally hosted, managed inference service through the Cassava AI Multi-Model Exchange (CAIMEx) (https://apo-opa.co/4i0dw5a). By making open models available as APIs on Cassava’s AI Factory, CAIMEx gives enterprises greater flexibility to choose the right mix of models for their applications without having to build and operate their own model-serving infrastructure.

“Expanding our AI Factory across our markets is about creating the capacity and economics needed for businesses to build and deploy AI solutions at scale. By bringing NVIDIA Nemotron into CAIMEx, improving the efficiency of every GPU cycle and introducing flexible token offerings, we are giving enterprises and service providers more choice in how they access and deliver these capabilities to their customers,” said Ahmed El Beheiry, Group Chief Technology & AI Officer, Cassava Technologies.

Expanding our AI Factory across our markets is about creating the capacity and economics needed for businesses to build and deploy AI solutions at scale

NVIDIA Nemotron brings efficient reasoning and tool-use capabilities to CAIMEx, helping customers build AI agents that can work through complex tasks and interact with business tools. Its open model weights, training data and recipes also give developers a customizable foundation that they can fine-tune to build specialised agents tailored to their applications.

As businesses mature and the AI agents take on longer-running tasks and access business systems, security and guardrails become critical requirements. These need to be built into the infrastructure, and Cassava is using NVIDIA OpenShell to bring model compute, governed agent execution and independent security enforcement together for customers’ agentic workloads to its AI Factory.

The CAIMEx Token Optimiser is designed to improve the economics of generative and agentic AI by identifying information that has already been processed and, where appropriate, reusing it rather than processing the same content again. This reduces computing requirements and helps customers use their AI tokens more efficiently. The approach applies to both Cassava-hosted and third-party AI models, helping enterprises reduce unnecessary processing as their AI usage scales.

The expansion is the latest step in Cassava’s development of an integrated AI ecosystem, giving businesses access to locally hosted infrastructure, models, and services, fostering trust and confidence in data security and control while supporting their growth.

Distributed by APO Group on behalf of Cassava Technologies.

 

 




 

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Events

Wuzhen Summit Puts Spotlight on Tongxiang’s Expanding AI Industry

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Wuzhen Summit

TONGXIANG, CHINA – Media OutReach Newswire – 20 October 2026 – The 2026 World Internet Conference Wuzhen Summit will open on Nov. 2, bringing technology leaders, researchers and companies to the historic water town as Tongxiang firms expand AI applications from commercial cleaning and autonomous delivery to industrial control and data-center cooling.

For Tongxiang, long associated with the annual internet conference, the summit is also a chance to demonstrate how local companies are commercializing AI technologies for customers at home and abroad.
 




 

Ahead of the event, reporters visited seven Tongxiang-based companies working in robotics, intelligent vehicles, synthetic data, industrial automation, logistics and computing infrastructure.

Singapore Changi Airport earlier this year placed a fourth order for commercial cleaning robots from CenoBots, a Tongxiang-based company whose machines are used in airports, supermarkets, hospitals, factories and warehouses.

CenoBots has sold products in more than 40 countries and regions. Its customers include Changi Airport, British retailer Tesco, the University of Minnesota and pharmaceutical company Novo Nordisk. This year, the company supplied about 600 autonomous cleaning robots for Tesco Express stores across the United Kingdom.

“Cleaning robots are appearing in more and more settings,” said Shen Jizhong, CenoBots’ co-founder and vice president. “It is much like electric vehicles becoming a familiar sight on the roads — a trend that is gathering pace.”

The company’s machines are adapted to different settings. Hospital robots must move through busy corridors without disrupting patient care, while those used in supermarkets navigate around shoppers and carts. Factory robots operate near forklifts, and airport models must handle both fine debris in carpeted areas and small obstacles on smooth floors.

CenoBots continues to refine its robots through real-world testing, focusing on reliable operation and consistent cleaning performance across diverse environments. The company has expanded its research, development and production facilities in Tongxiang from approximately 3,000 square meters in its early years to more than 20,000 square meters. Local malls, hospitals and sports venues have also served as long-term testing sites.

While CenoBots focuses on service robots, TEEMO is developing the vehicle platforms that support autonomous mobility. The company makes drive-by-wire skateboard chassis and core components for autonomous vehicles used in last-mile delivery, patrols and logistics.

Its standardized chassis can be equipped with different vehicle bodies and hardware for specific uses. One of TEEMO’s strategic customers, autonomous delivery-vehicle maker Zelos, was selected for all lots in China Post’s centralized procurement program for 7,000 autonomous delivery vehicles.

TEEMO’s customers already span the United States, the Middle East, India and Russia, said Zhang Yongjian, the company’s director of operations.

“In some overseas markets, distances are long, populations are dispersed and last-mile delivery is difficult to staff,” Zhang said. “Autonomous delivery vehicles have strong potential there, and overseas business will become an important growth driver for us.”

Other Tongxiang companies are concentrating on the data and perception systems that allow machines to function in physical environments.

Dayan Technology, founded in Tongxiang in May 2025, provides synthetic-data and toolchain services for autonomous-driving and humanoid-robotics companies. It combines real-world data collection, digital twins and simulated training environments to help developers train robots before they are deployed.

Its wearable devices record human movement and interactions with objects. A haptic glove uses liquid-metal and pressure sensors to capture hand gestures, finger movements and contact force. A multi-camera headset records a user’s visual field, body posture, hand movements and the position of nearby objects.

Dayan said its tactile-perception model can process touch signals in milliseconds. The technology is intended to help robots do more than identify objects visually: They can learn how firmly to grip an item, recognize when it is slipping and apply force without causing damage.

Freetech is applying related sensing and decision-making capabilities to intelligent driving. The company develops intelligent-driving systems and 4D imaging radar for passenger and commercial vehicles, and said its technology has been selected for hundreds of vehicle programs.

Its ODIN AI platform supports products at different levels of driving automation. The radar is designed to complement cameras in heavy rain, fog, darkness and abrupt changes in light, including when vehicles enter or leave tunnels.

At its intelligent-manufacturing base in Wuzhen, Freetech is also using AI in production. An in-house system reads customer orders and calculates the components and materials needed for each production line before manufacturing begins. The company said the system has increased overall efficiency by more than 20%.

“Transportation combined with a specialized function will be an important direction for the future,” said Dr. Zhang Lin, Freetech’s founder and CEO.

Freetech sees potential applications beyond passenger vehicles, including robots, elder-care vehicles, mining equipment and agricultural machinery.

Beyond mobility, Tongxiang firms are using AI to address the complexity of industrial operations. Founded in 2019, Shuhan Technologies provides on-premises industrial AI for chemical plants, energy facilities and wastewater-treatment systems. Its AI-driven control layer continuously ingests data from central control systems and field sensors, identifies dynamic conditions and autonomously adjusts operating parameters in real time.

“Fundamentally, all industrial process challenges can be framed as control and optimization problems,” said Zhai Zhengjun, Shuhan’s Chief Technology Officer.

At a coal chemical plant with annual capacity of 1.2 million metric tons, Shuhan said its system reduced raw-material consumption by 6%. The company estimated that the deployment generated more than 176 million yuan, or about $26 million, in annualized economic benefits and reduced carbon emissions by more than 500,000 metric tons.

SENAD is targeting bottlenecks in logistics operations, including loading, unloading, sorting and pallet handling. It develops autonomous loading and unloading robots, as well as a multimodal logistics model called Robot Insight, for sectors including beverages, tobacco, consumer goods, pharmaceuticals and logistics.

Tongxiang’s AI sector also includes companies addressing the infrastructure needed to run increasingly powerful computing systems. SynthCool is tackling a basic constraint of the AI boom: heat.

SynthCool develops two-phase liquid-cooling systems to address the heat generated by increasingly powerful processors. Inadequate cooling can trigger thermal throttling, reducing performance and energy efficiency.

“Heat dissipation is infrastructure,” said Zhu Zhijiang, SynthCool’s general manager.

SynthCool’s two-phase cooling technology uses the latent heat of vaporization to remove heat from processors. The cooling fluid absorbs heat and boils into vapor, which is then condensed back into liquid and recirculated.

Depending on ambient conditions and system design, two-phase cooling can also support free cooling and reduce reliance on compressor-based refrigeration. Waste heat may be recovered where temperatures and local demand make reuse practical.

According to SynthCool, its technology supports heat dissipation of more than 3,000 watts per chip and heat flux above 250 watts per square centimeter. Under comparable cooling requirements, the system requires approximately one-third of the flow needed by conventional single-phase water-cooled cold plates, helping reduce piping requirements and pumping demand.

SynthCool’s portfolio includes two-phase direct-to-chip and immersion cooling solutions, along with distribution units and control systems for AI data centers.
 




 

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