Author: Techtime

HP Indigo Signs Largest Deal in Its History Worth Hundreds of Millions of Shekels

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Israeli digital printing company HP Indigo has announced the largest deal in its history, signing an agreement worth hundreds of millions of shekels with U.S.-based Shutterfly. Under the deal, Shutterfly will upgrade its entire B2-format industrial print fleet to the HP Indigo 120K, the company’s fifth-generation press.

The agreement covers not only the printing systems themselves, but also the supply of consumables and services over a three-year period.

The deal was finalized during a sensitive period, after Shutterfly’s management canceled a planned visit to Israel due to the security situation. Despite this, both sides proceeded as scheduled—an outcome seen by industry observers as a vote of confidence in HP Indigo’s ability to deliver under uncertain conditions.

The upgrade is expected to significantly enhance Shutterfly’s production capabilities, particularly in terms of throughput, capacity, and print quality, while enabling it to better handle seasonal demand spikes. The 120K model is designed for high-volume, continuous industrial printing and has become a key growth driver for HP Indigo in recent years.

Founded in 1999, Shutterfly is a leading U.S. provider of personalized products and digital printing services. Its business is built around a print-on-demand model, allowing users to upload personal content and turn it into physical products ranging from photo books and albums to gifts and home décor. The company also operates a B2B division offering marketing and print solutions to enterprises, as well as a school photography arm through Lifetouch. Since 2019, Shutterfly has been privately held by Apollo Global Management.

The latest agreement builds on a long-standing relationship between the companies spanning roughly 25 years, dating back to the installation of Indigo’s first press at Shutterfly in the early 2000s. Over time, the partnership has evolved into a strategic collaboration, with Shutterfly consistently adopting HP Indigo’s latest technologies.

The deal follows another major agreement announced earlier this year with packaging company ePac, valued at approximately ₪150 million. In that case, ePac purchased 12 Indigo 200K presses along with consumables and services for three years. Compared to that transaction, the Shutterfly deal—defined as larger and involving a full fleet upgrade—suggests a significantly broader deployment, although the exact number of systems has not been disclosed.

HP Indigo is widely regarded as a global leader in digital printing, with an estimated market share of around 70% and more than 7,500 systems installed across over 115 countries. Its operations in Israel, including R&D and manufacturing in Ness Ziona and Kiryat Gat, represent a meaningful contribution to the local economy, accounting for roughly 0.5% of GDP and about 2% of high-tech exports.

[Image: HP Indigo 120K digital press. Credit: HP Indigo]

TSG Goes on Acquisition Spree to Build End-to-End Drone Interception System

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TSG, an Israeli company specializing in command-and-control (C2) systems, is accelerating its entry into the fast-growing counter-drone defense market, following a series of deals that signal a strategic shift in its business model.

In a filing to the Tel Aviv Stock Exchange on Monday, the company announced it had signed a binding agreement to acquire Mabat 3D Technologies, while also signing memoranda of understanding to invest in drone company Robotican and to acquire defense manufacturer Production Floor. According to TSG, all three companies align with its strategy to expand its footprint in the defense sector, with a focus on solutions for detecting and countering UAV and drone threats.

In a presentation released alongside its annual results, TSG framed these moves as part of a broader plan to build a comprehensive drone interception system—an integrated solution combining AI-based command-and-control software, connections to radars and sensors, and interceptor and capture drones.

Sensing, effectors, and manufacturing

The acquisition of Mabat adds a sensing and mapping layer to TSG’s capabilities. Based in Herzliya, Mabat specializes in 3D mapping and documentation using LiDAR technologies and provides solutions to defense customers. TSG says these capabilities will support the creation of precise spatial situational awareness, enabling improved detection, analysis, and operational planning in counter-drone systems.

Mabat generated approximately NIS 17.8 million in revenue in 2025, with operating profit of about NIS 4 million. The upfront consideration stands at roughly NIS 14.4 million, with contingent payments that could bring the total deal value to around NIS 45 million.

The planned investment in Robotican adds the effector layer. Under the terms of the MOU, TSG intends to invest $9 million for a 26% stake. Robotican, based in Omer, develops autonomous aerial and ground systems for intelligence and interception missions, including drones designed to capture hostile UAVs.

The move highlights TSG’s adoption of a growing concept in modern warfare: drones intercepting drones. This approach is gaining traction as it offers a more precise and cost-effective response to low-cost threats, reducing reliance on expensive missile-based interception systems.

The third deal, a proposed $5 million acquisition of Production Floor, adds manufacturing and integration capabilities. The Tirat Carmel-based company provides end-to-end production services, including engineering, manufacturing, assembly, and integration of complex systems, primarily for defense customers. This layer is intended to give TSG greater control over delivering fully integrated operational systems—not just software.

The core: TSG’s C2 backbone

At the center of this strategy is TSG’s core expertise in command and control. The company develops systems used for managing national airspace pictures, naval C2, border protection, special operations, and intelligence applications. These systems integrate data from radars, satellites, RF sensors, and other sources, fusing them into a unified real-time operational picture. Among other uses, they support threat trajectory analysis in Israel’s Home Front Command alert system.

In a recent conversation with Techtime, TSG President Pini Yungman described the company’s transition from a provider of core subsystems—primarily C2—to a company aiming to deliver full operational solutions. He said the company is expanding its systems so they not only manage the air picture, but also activate effectors, including interceptor drones. “The company is evolving from managing the air picture to enabling systems that can detect, track, and execute interception as an integral part of the same architecture,” he said.

Yungman also emphasized that one of TSG’s key assets is the data accumulated through its C2 systems, which are embedded in operational environments, including air defense frameworks in Israel. This data includes large volumes of information related to detection, tracking, and interception of threats—particularly UAVs. “The company has a data repository that no other company possesses, built on operational activity and massive volumes of data collected in recent years,” he said, adding that “the systems fuse inputs from multiple sensors, filter noise, and generate accurate predictions—enabling AI to deliver real operational advantage.”

The company’s focus on AI is also reflected in its investor presentation, where it highlights accelerated development of AI capabilities built on its data fusion and C2 expertise, including a dedicated large language model for intelligence and operational systems. The combination of operational data, accumulated experience, and advanced algorithms is presented as a key competitive advantage.

Growth driven by defense momentum

TSG’s strategic push comes on the back of strong financial performance. In 2025, the company reported revenue of approximately NIS 430.3 million, up 33.6% year-over-year. Operating profit reached NIS 37.2 million, net profit totaled NIS 16.3 million, and adjusted EBITDA stood at NIS 63.8 million. The defense segment accounted for NIS 336.5 million, or roughly 78% of total revenue.

The company also highlighted additional business developments in its presentation, including initial deliveries of low-altitude air defense licenses for the U.S. Army, expanded activity in Europe through defense partnerships, entry into markets in Asia and Africa, and new AI-related orders. Together, these moves suggest that TSG sees counter-drone and low-altitude defense not just as a technological direction, but as a major global growth engine.

TAT Continues to Grow, but Supply Chain Disruptions Weigh on Momentum

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[Image: TAT CEO Igal Zamir alongside power modules supplied by the company for F-16 aircraft]

TAT Technologies reported record results for 2025, continuing its growth trajectory in revenue, profitability, and backlog — but also warned that ongoing and worsening supply chain disruptions could weigh on near-term performance.

According to the company’s annual report released last week, fourth-quarter revenue reached $46.5 million, up 13% year-over-year. For the full year, revenue grew 17% to $178 million, alongside a sharp improvement in profitability: net income rose by about 50% to $16.8 million, while adjusted EBITDA reached $25.5 million, representing 14.3% of revenue.

Demand trends remained strong. The company’s backlog and long-term agreements increased to approximately $550 million, up from $429 million at the end of 2024. Management noted that the growth in backlog was driven בעיקר by new contracts and long-term agreements, rather than deferred work.

At the same time, TAT continues to shift toward maintenance, repair, and overhaul (MRO) services, which now account for more than 71% of revenue. This reflects broader industry dynamics, including extended aircraft lifecycles and delays in new aircraft deliveries, which are driving sustained demand for maintenance services.

The Bottleneck: Supply Chain Constraints

Beneath the strong financial performance, however, lies a significant operational challenge. During the earnings call, management emphasized that supply chain disruptions — which had shown signs of improvement earlier in 2025 — worsened again in the fourth quarter and continue into 2026.

According to CEO Igal Zamir, the impact is most pronounced in two key areas: auxiliary power units (APUs) and landing gear — both complex systems that depend on the availability of numerous components and sub-parts.

“In the last quarter, it completely reversed,” Zamir said. “All of a sudden, we are facing challenges again, especially in APUs and landing gear, with dramatically extended lead times and no advance warning.”

He added that the issue is not necessarily a broad shortage, but rather the unavailability of specific parts — which can delay entire systems:

“When it comes to an engine, there are hundreds of different parts that we need… all it takes is one bolt or one seal or one screw that we need to replace, and we cannot send the engine.”

The implications are both operational and financial. In some cases, the company is forced to procure parts on the open market at higher prices than under contractual terms, putting pressure on margins. Longer turnaround times can also delay revenue recognition.

In addition, management pointed to another structural constraint: a shortage of teardown aircraft, which typically supply used serviceable material (USM). These refurbished components are a key element in the economics of APU maintenance. As airlines continue to keep older aircraft in service, the supply of such parts remains limited.

Looking Ahead: Strong Demand, Supply-Dependent Execution

Despite these challenges, TAT remains optimistic about 2026. The company reported strong intake levels at the start of the year, with demand for MRO services continuing to grow.

The outlook is supported by several factors: a record backlog, newly signed long-term agreements, and a global aviation market that continues to expand while relying more heavily on existing fleets. In addition, TAT’s financial position — including over $50 million in cash and low debt — provides flexibility to invest in growth and pursue acquisitions.

However, management made clear that while demand is not a constraint, execution remains closely tied to supply chain conditions.

“We do not yet see a broad recovery in overall supply chain performance,” Zamir said, adding that the company nonetheless enters 2026 “from a position of strength.”

Shahaf PY Expands into Concrete 3D Printing Manufacturing

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By Yohai Schweiger

Shahaf PY, a company based in Kibbutz Moran and active in 3D concrete printing for the construction industry, is looking to expand its business model beyond supplying printing systems and build a full manufacturing operation — from service bureaus for prototyping and production runs to the future deployment of robots on construction sites and in defense applications.

According to founder and CEO Eran Carmi, speaking with Techtime, the move is driven by growing demand in the construction sector for solutions that can shorten processes, reduce dependence on manpower, and enable greater design freedom. “There is a shortage of labor in construction, while demand for building continues to rise. Younger generations are less interested in entering construction work, while projects themselves are becoming more complex. This is exactly the space where automation and concrete printing can create real value.”

“Concrete is a living material”

The company’s roots lie in the world of complex architectural projects. About five years ago, it decided to enter the field of printed architecture after identifying a gap between the design vision of architects and engineers and the production capabilities available in the market.

“We went out into the world looking for printers capable of producing facades and complex architectural elements, and realized there were no printers truly designed for architecture, design, and construction,” Carmi said. “The challenge was both scale and raw material, and that is where we realized our advantage would be in concrete printing.”

Shahaf’s system is based on proprietary mixing and feeding systems, printheads, and software developed by the company for large-scale 3D concrete printing in complex geometries. The printing method is FDM — layered printing — but its application in concrete presents very different challenges from those known in plastics or metals. For the physical execution of the print movement, the system is integrated with robotic arms from KUKA and ABB, fitted with printing components developed by Shahaf.

According to Carmi, the core of the technology is not only the machine itself, but the ability to manage a material that changes in real time. “Concrete is a living material. From the moment it meets water, chemical processes begin and its properties change dynamically. That means there must be a very strong connection between the hardware, the software, and the material. You need to precisely control print speed, geometry, and material behavior.”

To address this challenge, the company has also developed software that manages the printing process, plans work paths, supports BIM integration, and aims to translate complex design into industrial execution.

From thermal-management walls in data centers to fortifications

According to Carmi, the technology’s main advantage is its ability to break free from the constraints of traditional formwork and molds. Instead of producing each component according to a rigid قالب, different and complex shapes can be printed in customized form, with relatively fast transitions between versions and products.

“Architects today do not want to remain loyal to a mold,” he said. “Partly because AI tools now allow designs to be generated very quickly, there is a growing need for much more flexible execution.” In his view, the combination of digital planning, robotic printing, and material control opens a new space for formal freedom alongside functional manufacturing.

That capability is not intended only for aesthetics. Shahaf is targeting applications in which geometry itself creates engineering or economic value. These may include walls with internal cavities that can help manage heat in data centers, acoustic walls whose tailored internal structure can significantly reduce the amount of concrete required, complex concrete molds, landscape architecture elements, infrastructure components, roads, large industrial tanks, as well as solutions for marine architecture and underwater systems.

“We are not enslaved to the mold,” Carmi said, “which means we can rethink not only the shape of an element, but also its function.”

This direction aligns with broader needs in the global construction market. The sector faces a chronic labor shortage, rising costs, long schedules, and growing demands for efficiency as well as lower waste and emissions. The cement industry is also one of the most polluting in the world, so any solution that enables structural optimization, reduced material use, and less dependence on manual formwork attracts increasing attention.

For Shahaf, this is not only a technological opportunity but also a business opportunity: offering the construction sector a way to produce complex components faster, with greater flexibility, and with more precise use of material.

A full platform, from AI-based design to on-site printing

Against this backdrop, the company is trying to build a broader business model than system sales alone. One of its main directions is the establishment of robot farms that would serve as service bureaus for concrete printing. In such a model, customers could bring in a design, order a prototype, and later produce small batches or complex components without having to build a full manufacturing operation of their own.

“In my opinion, the major breakthrough between prototype manufacturing and serial production will happen דווקא in concrete,” Carmi said.

Alongside its civilian activity, Shahaf also sees potential in the defense market. According to Carmi, work in this sector began after October 7, with the rapid printing of fortifications for communities. Since then, the company has also been examining ballistic protection applications and direct field printing.

His longer-term vision is a system that could move on a tracked platform, connect to a concrete source, and print in the field according to the required geometry, with as high a level of autonomy as possible. “The goal is for the end user to be able to do everything in the field,” he said.

Looking ahead, Carmi sees Shahaf as a company that connects digital design, AI, and industrial manufacturing. One of the capabilities the company is developing is software that can convert a design generated in AI tools into a plan that is adapted for execution by the printer.

If that direction matures, Shahaf will seek to position itself not only as a supplier of printing systems, but as a manufacturing platform for printed concrete — one that links architecture, engineering, robotics, and materials, and is aimed at serving the construction, infrastructure, and defense markets.

[Main image: Shahaf PY]

Rafael-Elron Partnership Shifts Gears: RDC to Explore Acquisitions of Defense-Tech Companies

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[Photo above: Lisya Bahar Manoah, Chairperson, Elron Ventures & Managing Partner, Arieli Group & Yaniv Schneider, CEO, Elron Ventures]

As part of the publication of its 2025 annual report, Elron Ventures announced a strategic shift in its joint activity with RDC, its long-running partnership with Rafael. The company said that, alongside its role as an investor in early-stage technology companies, it now intends to expand RDC’s activity into mergers and acquisitions, with a particular focus on examining controlling stakes in early-stage defense-tech companies. According to Elron, the move has been approved by the boards of Elron and RDC, and remains subject to approval by Rafael’s board as well as the required regulatory clearances. Elron also said it expects to complete between one and three exit transactions from its portfolio over the next 12 months, including secondary deals.

RDC is a joint venture between Elron and Rafael that has been operating for more than three decades. According to the company, Elron holds 50.1% of RDC and Rafael holds 49.9%. The partnership was designed to combine Elron’s investment and venture-building capabilities with Rafael’s technological, engineering and industrial strengths. Over the years, RDC has served as a platform for launching ventures, investing in technology companies and commercializing Rafael technologies in civilian markets. The company says RDC also holds rights to commercialize Rafael technologies in civilian markets, and that the partnership benefits from access to Rafael experts for technology due diligence, joint development with portfolio companies, and in some cases connections to first customers or defense markets with high barriers to entry.

In practice, each side contributes a different layer to the partnership. Elron brings the investment platform, company-building support, work with entrepreneurs, board involvement and portfolio management. Rafael contributes engineering know-how, expertise in areas such as defense systems, sensing, autonomy, software and infrastructure, as well as the ability to help evaluate technologies and open doors to defense and government markets. Over the years, a range of companies have grown out of RDC or with its support, and the current portfolio includes, among others, CyberRidge, Wonder Robotics, Red Access, Tamnoon and OpenLegacy.

The strategic shift now announced by Elron marks a move away from an emphasis on minority stakes toward a model that may also include controlling holdings. According to the company, the rationale is that in defense tech, where development cycles can be long, markets are sensitive and barriers to entry are high, control can enable deeper company-building and value creation than a small financial stake. The move also fits the broader market backdrop: rising global defense budgets, growing venture capital investment in defense technologies, and increased M&A activity in the sector. From Elron’s perspective, the change is meant to add a new growth engine to the partnership with Rafael, rather than limiting it to sourcing companies and participating in funding rounds.

Elron defines its current focus around defense tech, deep tech, cybersecurity, software, and to a lesser extent a legacy portfolio of medical device companies. Founded in 1961, the company says it has completed more than 20 exits with an aggregate value of over $2.8 billion since 2010. Today it holds, directly and indirectly, 26 portfolio companies, including through CyberFuture, the cybersecurity investment club it established with a group of global chief information security officers.

The annual report presents 2025 as a relatively positive year for the company. Elron posted net profit of about $9.3 million, following exits that generated roughly $40 million in proceeds. During the year, it made two new investments, in Addionics and CyberRidge, alongside seven follow-on investments. It also reported a new 2026 investment in cybersecurity company Raven. According to the figures presented by the company, its consolidated NAV stands at about $183.9 million, of which about $54.9 million was in liquid resources as of mid-March 2026. The company also returned about $15 million to shareholders during 2025 through dividends and share buybacks.

Looking ahead, Elron is trying to maintain several tracks at once: continuing to invest in growth companies across cybersecurity, deep tech and defense tech; pursuing exits from parts of the portfolio; and at the same time building a new layer with Rafael around acquiring and holding companies. The move still requires approvals and will need to prove itself in execution, but it clearly signals the new direction of the partnership between the two companies.

NVIDIA Brings the CPU Back to Center Stage — While Pushing Intel to the Margins

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NVIDIA yesterday unveiled, for the first time, the full architecture of its Vera Rubin platform at GTC — the company’s next-generation AI infrastructure designed for the era of agentic AI. Unlike previous generations built around discrete servers, Rubin is presented as a complete rack-scale system, where multiple specialized racks operate together as what NVIDIA describes as an “AI factory.”

The architecture consists of several types of racks, each responsible for a different layer of the system. GPU racks, powered by Rubin processors, handle the most compute-intensive workloads — training large models and running real-time inference. CPU racks manage environments, agents and orchestration logic. Storage racks handle memory and large-scale context management, while networking racks connect the system through high-speed interconnects. In addition, dedicated inference accelerators are integrated to optimize response generation.

The CPU Returns to Center Stage

One of the most notable innovations in the architecture is the Vera CPU rack — a dedicated system designed to address the emerging workloads of autonomous AI agents.

In traditional AI systems, GPUs handled most of the heavy lifting, while CPUs played a supporting role. In the agentic era, however, a growing share of the workload shifts to the CPU: running code, invoking tools, orchestrating workflows, validating outputs and managing simulations.

According to NVIDIA, each CPU rack can include up to 256 Vera processors, capable of running tens of thousands of independent CPU environments in parallel. The processor itself features 88 custom-designed cores, with a strong emphasis on single-thread performance and high memory bandwidth — reaching up to 1.2 TB/s — alongside significant gains in energy efficiency.

A key architectural element is the direct connection between CPU and GPU via NVLink, enabling far faster data exchange than traditional server interconnects. As a result, the CPU is no longer just coordinating GPU workloads — it becomes an integral part of the computation pipeline itself.

Meanwhile, Intel Remains — But in a Reduced Role

At the same time, Intel announced that its Xeon 6 processors have once again been selected as the host CPU for NVIDIA’s DGX Rubin NVL8 systems — servers equipped with eight GPUs that serve as a fundamental building block of the platform.

In these systems, Xeon continues to perform its traditional role: managing GPUs, scheduling workloads and handling data movement. Its strengths remain in large memory capacity, high I/O bandwidth and broad compatibility with existing infrastructure.

However, within the broader Rubin architecture, this role is becoming increasingly limited.

From Blackwell to Rubin: A Shift in Power

The transition from Blackwell to Rubin clearly illustrates the shift. In previous generations, AI infrastructure was largely built around DGX or HGX servers, each combining NVIDIA GPUs with CPUs — typically from Intel. In practice, Xeon processors were present in nearly every system.

With Rubin, the architecture evolves. Instead of uniform servers, the system becomes a heterogeneous, rack-scale infrastructure, where each component is purpose-built. The CPU takes on a more central role — but not necessarily through Intel.

The Vera CPU rack now serves as the layer responsible for running agents and orchestrating the system, while Xeon processors are largely confined to host roles within NVL8 systems. In other words, Intel remains inside the system — but no longer defines its foundation.

The Big Picture: Vertical Integration of AI Infrastructure

The broader picture is clear: NVIDIA is steadily moving toward full-stack control of AI infrastructure — from GPUs to CPUs, networking and storage.

While its partnership with Intel continues, NVIDIA is simultaneously building an internal alternative that strengthens its long-term position. Where the CPU once represented a critical external dependency, it is now becoming another layer under NVIDIA’s own control.

For the data center market, this marks a fundamental shift: from general-purpose servers to AI-native infrastructure — where even the CPU is purpose-built for the agentic era. The result could redefine the balance of power among chipmakers in the years ahead.

Advancing Smart Traffic Management with Edge AI

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This article is sponsored by Advantech.

As traffic congestion, urban expansion, and increasing safety expectations place growing pressure on transportation networks across the Middle East, governments are accelerating investment in intelligent mobility infrastructure. Intelligent transportation systems are emerging as a key priority to improve real-time traffic visibility, enhance incident response, and support long-term urban sustainability goals.

According to IDC, artificial intelligence spending across the Middle East, Turkey, and Africa is expected to grow from approximately USD 4.5 billion in 2024 to around USD 14.6 billion by 2028, highlighting strong regional momentum in digital infrastructure and smart city deployment. Within this transformation, traffic monitoring, incident detection, and real-time mobility management are increasingly viewed as critical applications.

Advantech, a global IoT leader, is supporting this shift through a comprehensive portfolio of edge AI computing platforms and industrial networking solutions designed specifically for transportation environments. Leveraging more than 40 years of experience in industrial automation and embedded computing, the company enables system integrators and city authorities to deploy scalable intelligent traffic architectures across roadside infrastructure, traffic control centers, railway systems, and connected vehicle applications.

Real-Time Traffic Intelligence Powered by Edge AI

Advantech’s edge computing platforms enable real-time processing of video streams and sensor data directly at the network edge. This capability helps transportation operators detect congestion patterns, identify safety incidents, and optimize traffic signal coordination with greater speed and accuracy.

Industry research from Grand View Research indicates that the global edge AI market is projected to grow from approximately USD 24.9 billion in 2025 to nearly USD 118.7 billion by 2033, reflecting increasing demand for localized analytics across data-intensive environments such as intelligent transportation systems.

To support these requirements, Advantech’s solutions provide high-performance GPU expansion options, ruggedized system design for outdoor deployment, and long-term reliability for continuous 24/7 traffic operations. By enabling distributed analytics alongside centralized monitoring integration, cities can build more responsive and resilient mobility infrastructures.

Real-World Intelligent Transportation Deployments

Advantech has supported wide range of intelligent transportation deployments worldwide. In one implementation, an AI-enabled video traffic monitoring platform was used to support adaptive traffic signal control, enabling authorities to improve congestion management and optimize signal timing during peak periods.

At major urban intersections, AI image detection technologies have been deployed to automatically recognize pedestrians and vehicles in real time, helping reduce waiting times while enhancing safety for both drivers and pedestrians.

In large-scale smart city projects, high-performance GPU servers have also been introduced to support intensive video analytics workloads, enabling continuous urban monitoring and faster incident response.

In addition, distributed digital video processing systems are supporting on-site traffic monitoring applications, improving situational awareness across transportation networks.

These real-world implementations demonstrate how edge AI technologies can help cities enhance mobility efficiency, strengthen safety outcomes, and support data-driven traffic management strategies.

Integrated Networking and Scalable Infrastructure for Smart Mobility

Beyond edge AI computing, Advantech provides industrial networking solutions that enable seamless connectivity across roadside cabinets, transportation hubs, and centralized control centers. Secure communication architectures support stable data transmission between field devices and monitoring platforms, helping cities coordinate responses to traffic disruptions and maintain operational continuity.

Research conducted by Seagate in collaboration with IDC suggests global data creation will reach approximately 175 zettabytes by 2025, with a significant proportion generated and processed at the edge. These trends are reinforcing the need for resilient computing platforms capable of supporting mission-critical transportation operations such as traffic monitoring, incident response, and urban safety coordination.

Join the Webinar: Discover Edge AI Innovations for Smart Traffic and Public Safety

To explore the latest intelligent transportation technologies and deployment strategies, Advantech will host a webinar focused on edge AI applications for smart traffic management and urban safety.

The session will feature industry experts and regional partners sharing implementation insights, infrastructure design considerations, and emerging opportunities in smart mobility development.