Technology News
AirBrush Releases Enhanced Background Remover Tool for Streamlined Image Editing
AirBrush announces the release of an enhanced background remover tool designed to support efficient image editing through automated processing and expanded visual adjustment capabilities. The update reflects continued development within AI-assisted creative software, where demand has increased for tools that reduce manual editing time while maintaining visual accuracy. The enhanced image background remover integrates updated artificial intelligence models capable of detecting foreground subjects with greater precision across a wide range of image types. The release also aligns with broader trends in digital content creation, where speed, consistency, and accessibility have become central technical requirements. Context of AI-Assisted Image Editing Image editing workflows have evolved rapidly with the integration of artificial intelligence. Automated tools now play a central role in tasks previously dependent on manual selection, masking, and retouching. Background removal represents one of the most widely adopted AI-powered editing functions, particularly across e-commerce, marketing, social media, and professional design environments. AirBrush positions the enhanced background remover within this evolving context, focusing on functional improvements rather than feature expansion alone. The update is structured to support consistent output across diverse image resolutions, lighting conditions, and subject compositions. Image Background Remover Functionality The enhanced image background remover processes uploaded images by identifying primary subjects and separating them from surrounding visual elements. The system applies edge detection, depth estimation, and object recognition techniques to generate clean subject cutouts without requiring manual input. Improved handling of complex elements such as hair, shadows, transparent materials, and overlapping objects is included in the update. These refinements address common challenges associated with automated background removal, particularly in portraits and product photography. Output images are generated with transparent or customizable backgrounds, enabling further use in design layouts, presentations, or digital storefronts. Integration of AI Expand Image Capabilities Alongside background removal improvements, the updated tool supports AI expand image functionality. This capability allows images to be extended beyond original boundaries by generating visually consistent background content that aligns with existing textures, lighting, and perspective. AI expand image processing supports use cases where resized or reformatted visuals are required for different platforms. Content creators working across multiple aspect ratios can extend images without distortion or repetition artifacts commonly associated with traditional resizing methods. The integration of AI expand image features complements background removal workflows by enabling additional layout flexibility after subject isolation. Use Case Applications The enhanced image background remover supports a range of professional and practical use cases. E-commerce operations rely on clean product imagery to meet marketplace standards and maintain visual consistency. Automated background removal simplifies bulk image preparation and reduces post-processing requirements. Marketing teams and content creators use background removal to adapt visuals for campaigns, advertisements, and branded materials. The ability to isolate subjects and reposition elements supports faster iteration cycles and content variation. Professional designers and photographers benefit from time-saving automation during early-stage editing, allowing greater focus on compositional and stylistic decisions rather than technical masking tasks. Workflow Efficiency and Accessibility Automation within image editing tools has reduced dependency on advanced design software and technical expertise. The enhanced AirBrush image background remover operates through a streamlined interface designed for rapid processing and minimal configuration. Images can be processed individually or in sequence, supporting both casual and production-level workflows. The system emphasizes predictable results, allowing users to incorporate background removal into standardized editing pipelines. By lowering technical barriers, AI-assisted tools expand access to image editing capabilities across broader user groups, including small businesses and independent creators. Accuracy and Visual Consistency Accuracy remains a key performance metric for AI-driven image background remover tools. The enhanced release incorporates updated training data and model refinement aimed at improving subject recognition across varied image types. Visual consistency is addressed through stable edge handling and uniform background transitions. Reduced artifacts around subject boundaries contribute to cleaner results suitable for professional use. These refinements support use cases where visual quality directly influences perception, such as product listings, corporate materials, and portfolio presentations. Data Handling and Processing Considerations Image processing workflows involve the handling of user-provided visual data. The enhanced tool operates within defined processing parameters designed to support reliable performance without unnecessary data retention. Processing operations focus on task execution rather than data analysis beyond functional requirements. This approach aligns with industry expectations around responsible handling of creative content within AI-powered tools. Role of AI in Modern Creative Tools AI expand image and image background remover technologies represent broader shifts in creative software development. Rather than replacing creative decision-making, these tools automate repetitive technical tasks, enabling faster execution of established visual objectives. As AI models continue to improve, image editing tools increasingly support adaptive workflows where output can be refined through iterative adjustments rather than manual reconstruction. AirBrush positions the enhanced release as part of this ongoing transition toward AI-supported creative efficiency. Compatibility With Content Platforms Modern content distribution requires visual assets adapted to multiple formats, resolutions, and platform guidelines. The enhanced image background remover supports output suitable for web, social media, presentations, and digital commerce environments. AI expand image capabilities assist with resizing requirements by generating expanded backgrounds that preserve visual coherence. This reduces the need for multiple source images or extensive redesign efforts. Such compatibility supports consistent brand presentation across channels without increasing production complexity. Technical Development Perspective The release reflects continued investment in model optimization and user workflow analysis. Improvements focus on reliability, processing speed, and adaptability rather than introducing isolated features. By refining existing tools such as the image background remover and AI expand image functions, AirBrush emphasizes incremental improvement aligned with practical usage patterns. This development approach prioritizes stability and usability over experimental functionality. Summary AirBrush releases an enhanced background remover tool designed to support streamlined image editing through improved AI processing and integrated expand image capabilities. The update addresses accuracy, efficiency, and workflow flexibility within modern creative environments. By combining image background remover functionality with AI expand image support, the release provides a structured solution for content creators, businesses, and professionals managing visual assets across multiple platforms. The enhanced tool reflects ongoing developments in AI-assisted image editing focused on accessibility, consistency, and practical application.
KAKScorp Launches ISO 1 Product to Address Global Compliance and Scalability Challenge
Geniatech Unveils Its Full-Stack Tech Vision at CES 2026, Driving Industry Advancement with E-Paper, Edge AI, and ARM Solutions for a Digital and Sustainable Future.
UniFi Nerds Launches “UniFi as a Service” (UNaaS): The Next Generation of Enterprise Networking
- January 9, 2026Technology
MellinTech Releases Comprehensive CTO Checklist for Multi-Site IT Cutovers
MellinTech announced the release of a practical checklist designed to help chief technology officers and operations leaders plan and execute multi site IT cutovers with speed, consistency, and reduced risk. The guide consolidates steps proven during nationwide rollouts and complex enterprise transitions. Interested parties can find more information at https://mellintech.com/technology-solutions/it-cutover-checklist The publication organizes work into pre cutover, cutover, and post cutover phases that can be adapted for mergers and acquisitions, DeNovo openings, and refresh programs. It details how to structure runbooks, align partners, and standardize configurations so parallel locations can move from planning to activation without unnecessary rework. Technical sections cover inventory baselining, golden image preparation, SD WAN and core network readiness, Wi Fi survey and validation, and endpoint deployment. The checklist also addresses AV and CCTV considerations that often appear in distributed environments. Each stage includes acceptance criteria for throughput, latency, voice readiness, and roaming, along with test plans that confirm site readiness before go live. Governance and risk controls are positioned as essential program elements. The guide outlines change window design, back out procedures, RACI ownership, and communication cadences that keep regional teams, general contractors, and third party providers aligned. It highlights compliance touchpoints that frequently surface in multi site operations, including HIPAA aligned safeguards and PCI considerations when card present transactions are in scope. Quality gates are framed as measurable thresholds rather than general advice. Recommendations include heatmap driven WLAN validation, standardized bills of materials, templated configurations, and early life monitoring thresholds that surface anomalies quickly after activation. Closeout expectations such as device inventories, as builts, and knowledge transfer are structured to accelerate future moves, adds, and changes. Field execution requirements are reflected throughout. The resource calls out OSHA outreach training, MEWP competency for lift use, and electrical safety practices that are commonly required by landlords and general contractors. It also encourages the use of repeatable documentation and change records to support auditability in regulated settings. MellinTech presents the checklist as a pragmatic tool for leaders accountable for first time right outcomes at scale. By translating lessons from nationwide rollouts into a single reference, the company aims to help organizations reduce risk, compress timelines, and improve operational resilience during high stakes technology transitions. Additional details, including the full checklist, are available at the link above or at mellintech.com .
- January 9, 2026Technology
Ivan Battimiello Receives 2025 Global Recognition Award For Secure Systems Leadership And High-Impact Engineering
Ivan Battimiello has received a 2025 Global Recognition Award in recognition of sustained excellence in technical leadership, secure systems design, and team development at an international level. The distinction reflects a record of delivering complex backend and cloud infrastructure projects that support high-traffic, security-critical platforms in the fintech, public administration, and digital media sectors, where resilience and compliance are central to long-term service continuity. Photo Courtesy of Ivan Battimiello His profile was strengthened by achieving perfect evaluation scores in vision and strategy implementation, demonstrating the ability to inspire and motivate others, and exhibiting ethical decision-making and integrity, as well as encouraging innovation and creativity. The assessment highlighted that he consistently connects system design with organizational objectives, ensuring that performance, reliability, and security outcomes remain aligned with client and stakeholder expectations. Technical Leadership And Strategic Implementation Ivan Battimiello's career includes more than nine years of full-stack development, with a focus on backend engineering, as well as several years as a DevOps engineer and technical leader responsible for aligning architecture, performance, and reliability with business goals. Professional experience covers roles as a game developer, senior full-stack developer, devops engineer, team leader, and tech leader for European and American clients, where he has operated exclusively in English in international environments for over three years. His work as technical lead at Lasting Dynamics from January 2023 to September 2024 showed a consistent ability to connect strategy with execution, as he supervised an eight-member cross-functional team while ensuring all deliverables met PCI-DSS compliance requirements for payment processing. He led customer meetings in which technical requirements were clarified, and he defined technology stacks and architectural trade-offs to ensure projects remained secure, performant, and compatible with delivery timelines agreed upon with clients. Secure Systems Design And Infrastructure Within that leadership role, his technical contributions ranged from building new features in Go and PostgreSQL to integrating payment providers such as Worldpay and RS2, designed to maintain consistency of user experience while preserving strict security controls. He designed RESTful services that adhered to OWASP Top 10 security principles, thereby limiting exposure to common web vulnerabilities and helping maintain trust in platforms that process financial transactions and personal information. Infrastructure responsibilities included managing AWS-hosted environments using Kubernetes, Kustomize, and FluxCD, which enabled services to scale as deployment complexity increased while maintaining uptime and reliability within target thresholds. He improved observability and protection by implementing CloudWatch and CloudTrail for centralized logging and monitoring, configuring web application firewall rules for threat mitigation, and adopting image scanning, which collectively reduced the risk of unnoticed configuration drift. Innovation And Cross-Functional Impact As a senior backend and DevOps engineer at Lasting Dynamics from September 2021 to January 2023, Battimiello combined engineering depth with measurable outcomes by leading the development of a manga community platform serving over 2 million users, utilizing Node.js, TypeScript, PostgreSQL, and Docker. He designed and implemented a Kubernetes-based e-commerce shop generator using Kustomize and FluxCD, built on PHP, Laravel, PostgreSQL, and Docker. The platform integrated Klarna and maintained full support for PayPal and Stripe, enabling faster merchant onboarding and offering customers greater flexibility during checkout. Additional projects confirmed his ability to move between different domains while maintaining performance and reliability, as seen in a support website for neuroscientists built with Python, Flask, Celery, PostgreSQL, and S3, where upload speed improved by 83 percent. Earlier roles at Netcom Group further illustrate the continuity of his leadership approach. He served as the development team lead from October 2020 to September 2021, mentoring cross-functional teams while working to resolve bottlenecks, refine workflows, and meet demanding project milestones. He guided the design and implementation of an apprenticeship management application using Java, Spring Framework, Angular, and MySQL, which featured secure JWT-based authentication and enhanced interactive mapping, enabling users to access relevant information more clearly. His earlier experience as a full-stack developer at Netcom Group, from November 2017 to October 2020, encompassed public administration, healthcare, and cultural projects. During this time, he developed a dashboard for automated test results, which increased error identification by 62 percent through improved visibility into test performance. His portfolio also includes native Android applications for museums, developed using Java and TensorFlow, along with an admin panel that manages visitor check-ins and tablet battery monitoring in real-time via WebSocket technologies. Final Words Alex Sterling, spokesperson for Global Recognition Awards, reflected on the award decision and said, "Ivan Battimiello represents a high level of technical mastery and leadership, and the consistency of his record over many years was a key factor in the panel's judgment. His ability to build secure, scalable systems while guiding teams across international environments explains why he has earned this recognition." About Global Recognition Awards The Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have made significant contributions to their respective industries.
- January 9, 2026Technology
AIOZ Network Featured by MIT Technology Review and TechCrunch Following Strong 2025 Product Momentum
AIOZ Network , the people‑powered infrastructure for media and AI, was recently featured in MIT Technology Review and TechCrunch , underscoring growing recognition from leading Web2 media for the network’s approach to unifying decentralized storage, streaming/CDN, and AI compute in a blockchain‑agnostic network. The publications explored how AIOZ Network’s Decentralized Physical Infrastructure Network (DePIN) model integrates storage, streaming, and compute into one blockchain-agnostic ecosystem, advancing what founder Erman Tjiputra calls a “people-powered internet.” “Our mission is simple: build a people‑powered internet where anyone can contribute storage, bandwidth, and compute, and where developers and creators can build sustainable businesses on top. This recent recognition validates the market is ready for an integrated media-and-AI infrastructure that’s distributed at its core yet seamless to use.”, said Erman Tjiputra, Founder of AIOZ Network. 2025 was a landmark year for AIOZ Network, marked by the rollout of two pillar products redefining how AI and media run on decentralized infrastructure. AIOZ AI, launched in May 2025, is a decentralized computing infrastructure supporting AI model inference and monetization, with a vision for AI model deployment and training processes. AIOZ AI enables developers and teams to publish models with usage‑based access, power tasks across distributed GPUs, and convert model traction into revenue, bringing a “monetize and tokenize” path to the open AI ecosystem. AIOZ Stream launched in September 2025, expanded AIOZ Network’s media stack with a peer‑powered streaming platform for live and on-demand audio/video content. By harnessing the spare resources of DePIN, it enables creators to reach audiences directly with lower costs, higher reliability, and a seamless Web2-grade experience. Following these launches in the previous year, 2026 will see AIOZ Network continue to enhance AIOZ AI with richer model monetization features, collaborative datasets, and developer tooling, while expanding AIOZ Stream’s creator workflows and partner integrations. Developers can explore documentation and start building today at aioz.network . About AIOZ Network: Web3 Infrastructure Powered by DePIN AIOZ Network is shaping the future of Web3 by advancing DePIN innovation across AI compute, media delivery, and distributed storage. AIOZ DePIN powers AI model inference and training, high-performance content streaming, and secure data storage through a global peer-to-peer network. The AIOZ ecosystem includes: AIOZ AI , a decentralized AI Compute infrastructure and collaborative AI marketplace; AIOZ Stream , a media infrastructure for live and on-demand video and audio; AIOZ Storage , an S3-compatible decentralized storage solution; and AIOZ Pin , an IPFS pinning service.
- January 9, 2026Technology
Syed Asif Ali Scales Digital Media Operations In The United Arab Emirates Through Point Media And Pointika
The digital media landscape in the United Arab Emirates continues to witness a significant shift as Syed Asif Ali , a recognized expert in identity engineering and media strategy, accelerates the expansion of his dual-agency ecosystem. Through Point Media and Pointika , Ali provides a structured framework designed to establish long-term digital authority for high-profile individuals and corporate entities. Operating from key hubs in Dubai and Ajman , Syed Asif Ali has developed a methodology that bridges the gap between traditional professional values and modern technological advancements. The founder’s approach centers on the concept of "Digital Ecosystems," ensuring that an entity’s presence is not merely visible but verified across global databases and news archives. Strategic Identity Engineering Point Media , the strategic arm of Ali’s operations, focuses on the analytical aspects of brand building. The agency specializes in high-authority media placement and the creation of structured data paths that align with global search engine standards. By securing placements in international news outlets, the agency ensures that clients transition from basic digital profiles to recognized, verified entities within the global knowledge graph . "The objective is to move beyond temporary social media engagement and focus on permanent digital legacies ," stated Syed Asif Ali during the announcement. "In a contemporary market where trust is the primary currency, the emphasis must remain on third-party validation and technical transparency. Verification serves as the foundation for any sustainable digital presence." Advancing Visual Excellence Complementing the strategic focus of Point Media is Pointika , an agency dedicated to elite visual storytelling and professional aesthetics. Recognizing that visual representation is a critical component of brand perception , Pointika provides creative direction and high-end visual assets tailored for influencers and executive leadership . The integration of Point Media’s strategic logic with Pointika’s visual expertise creates a comprehensive solution for brands seeking a holistic digital identity . This dual-agency model addresses the necessity for brands to maintain both technical authority and aesthetic professionalism simultaneously. A Vision for Global Connectivity The expansion of these operations comes at a time when the UAE is cementing its position as a global center for digital innovation . Syed Asif Ali’s vision includes creating a bridge for international entrepreneurs to access Middle Eastern markets with verified credibility. The expansion plans include the integration of advanced data analytics and strategic media tools to further enhance the speed and accuracy of identity verification processes. Syed Asif Ali , born in 1997 , represents a new generation of founders who prioritize structured data and authentic documentation over conventional promotional tactics. His career reflects a commitment to precision, starting from foundational business principles and evolving into the management of complex digital media networks . About Point Media Point Media is a premier digital media agency based in the UAE , specializing in strategic media placement, brand authority , and digital ecosystem management. Led by Syed Asif Ali , the agency assists global leaders in securing verified digital footprints . About Pointika Pointika is a creative agency focused on high-end visual storytelling and brand aesthetics. It provides elite creative solutions that complement the technical authority established by its sister agency, Point Media .
- January 8, 2026Technology
Hanchen Su Contributes to Advancing LLM-Friendly Knowledge Representation for Customer Support Automation
At the 31st International Conference on Computational Linguistics (COLING 2025), researchers affiliated with a leading Silicon Valley technology company presented a study titled “LLM-Friendly Knowledge Representation for Customer Support,” which explores a new framework designed to help Large Language Models (LLMs) interpret and apply enterprise workflows more effectively. The research introduces an approach that restructures complex operational processes to improve the scalability and performance of AI-driven support systems. A central contribution of the study is the Intent, Context, and Action (ICA) format, which restructures operational workflows into a pseudocode-style representation optimized for LLM comprehension. Experiments reported in the paper show that ICA improves model interpretability and enables more accurate action predictions, achieving up to a 25 percent accuracy gain and a 13 percent reduction in manual processing time. The findings show that the ICA methodology sets a new benchmark for its application in customer support and provides a foundation for extending business-knowledge reformatting to complex domains such as legal and finance. The study also addresses dataset limitations by introducing a synthetic data generation pipeline that supports supervised fine-tuning with minimal human involvement. The method produces training instances by simulating user queries, contextual conditions, and decision-tree structures, enabling LLMs to learn reasoning patterns aligned with real-world support scenarios. According to the experiments, this approach reduces training costs and allows smaller open-source models to approach the performance and latency of larger systems, representing a meaningful advancement in scalable enterprise AI development. Among the authors, Hanchen Su is a Staff Machine Learning Engineer whose work focuses on machine learning, natural language processing, and statistical learning. He holds an M.S. in Artificial Intelligence from Peking University and has contributed to projects involving intelligent customer service, pricing strategy, recommendation systems, and market intelligence during his tenure across different roles. His technical experience spans deep learning, Spark, SQL, Java, Python, and large-scale data processing tools such as Airflow, Bighead, and Bigqueue. Su previously worked as a Staff Data Scientist at the Beijing office of a leading Silicon Valley technology company, where he developed listing verification, pricing strategy, price suggestion, market intelligence, market understanding, and trending predictions, as well as search ranking and recommendation systems. His earlier roles include Senior Machine Learning Engineer at Meituan, Machine Learning Engineer at Yidianzixun, and Machine Learning Engineer at Sohu. He also co-founded Leappmusic as its Tech Lead, leading a team with 20+ engineers on the crawler, recommendation system, backend service, and content management service for a mobile app. The study concludes that the ICA methodology provides a replicable framework for integrating structured reasoning into LLM-based systems. By reformulating operational knowledge into a format optimized for machine interpretation, the research outlines a foundation for future AI applications capable of supporting complex decision-making with improved accuracy, transparency, and efficiency.
- January 8, 2026Technology
PowerDMARC Launches Hosted DKIM Analytics with DKIM Key Health Overview
PowerDMARC, a leading provider of email authentication and domain security solutions, announced the launch of Hosted DKIM Analytics , designed to help organizations gain deeper visibility into DKIM performance, key hygiene, and real-world email authentication outcomes across their domains. It’s a rare capability in the email authentication space, pairing DKIM performance analytics with DKIM key health visibility in one dashboard. Despite DKIM being a foundational component of email authentication, many organizations struggle to monitor how DKIM selectors, keys, and sending services perform over time. DKIM Analytics Reporting addresses this challenge by transforming DKIM data into actionable insights, enabling teams to proactively identify issues that may impact security or deliverability. The new feature provides centralized visibility into DKIM activity, including selector-level and sending-service performance, DKIM pass rates, signed versus unsigned email volume, flexible time-range analysis, and exportable reports for audits and internal reviews. A core component of DKIM Analytics is the DKIM Key Health Overview , which delivers visual insights into the state of DKIM keys across all monitored domains. This overview helps organizations quickly identify risks and maintain strong DKIM hygiene by highlighting: Key Length : to identify weak or non-compliant cryptographic keys Key Rotation : to assess whether DKIM keys are rotated within recommended timeframes Key Usage : to distinguish actively signing selectors from inactive or unused keys Commenting on the launch, Maitham Al Lawati, CEO of PowerDMARC , said: “DKIM issues often go unnoticed until they start affecting deliverability or security. With our advanced DKIM Analytics, we wanted to give organizations clear, practical visibility into how their DKIM configuration behaves in the real world - from selector performance to key health, so they can act early, stay compliant, and reduce operational risk.” By combining DKIM performance monitoring with key health visibility in a single dashboard, DKIM Analytics enables organizations to improve email authentication outcomes and minimize DKIM misconfigurations at scale.
- January 8, 2026Technology
Spiritt Unveils Next Phase of AI-Powered App Creation to Democratize Software Development
Spiritt, an AI-assisted no-code app builder enabling entrepreneurs and businesses to build production-ready software without extensive technical skills, today announced a new strategic initiative aimed at expanding access to complex application building for early-stage founders and non-technical innovators. The announcement comes as demand for accessible app development accelerates in tandem with global startup growth and the widespread adoption of no-code and AI tools. Spiritt’s technology combines advanced generative AI with human-assisted design and development support to help users translate ideas described in plain language into fully functional web and mobile applications. The platform targets founders, small businesses, and startups looking to accelerate their digital product development without the traditional barriers of hiring extensive engineering teams or Addressing a Critical Gap in App Development While a surge of AI-powered no-code tools has transformed ideation and early prototyping, many founders still confront challenges when moving from prototype to scalable product. Spiritt positions itself uniquely in this evolving landscape by blending automation with expert oversight, delivering design, backend integration, deployment, and ongoing customization support in a single subscription-based solution. The gap between idea and execution is a persistent obstacle in the startup ecosystem, particularly for founders without access to traditional development resources. Spiritt’s model significantly reduces time-to-market by eliminating much of the overhead associated with traditional app creation — including engineering recruitment, multi-vendor coordination, and steep development costs. Expanding Access and Opportunity The platform supports a broad range of application types, from marketplaces and social networks to utility applications, booking systems, and more. Its subscription model includes hosting and ongoing updates, enabling users to tailor and scale their products as needs evolve. Spiritt’s approach also aligns with broader industry trends toward democratized technology creation. Tools that integrate AI with human expertise are gaining traction because they combine the speed of automation with the judgment and contextual decision-making of experienced developers. This hybrid methodology helps users overcome limitations often encountered with standalone AI generators or rigid template-based platforms, particularly for applications that require complex logic, integrations, customizable UI/UX, and production-grade reliability. Supporting the Modern Entrepreneur In addition to enabling application development, Spiritt’s platform offers educational resources and community support to help founders navigate the startup journey from idea validation through launch and growth. By lowering the technical barriers to entry, Spiritt aims to empower a broader range of innovators — including non-technical founders, small business owners, and creators — to enter software markets that were previously accessible only to well-funded technical teams. The timing of this announcement reflects a wider shift in the global technology landscape, where founders increasingly expect tools that balance ease of use with depth of capability. Spiritt’s AI-assisted methodology meets this need by offering an accessible yet comprehensive option for individuals and teams seeking to move beyond concept to viable product with confidence. About Spiritt Spiritt is a human-assisted AI platform that enables entrepreneurs and businesses to build complex, fully functional applications without the need for extensive technical expertise. Founded in 2020, the company combines generative artificial intelligence with expert design and development support to help users create scalable software products through a subscription-based model. Spiritt is backed by venture capital, including Square Peg Ventures and Disruptive AI, and its mission is to democratize access to software creation, empowering innovators around the world.
- January 8, 2026Technology
A to Z Dispatch Sets the Standard for White Label Dispatch Software for Small Limo and Chauffeur Operators
A to Z Dispatch, founded in 2018 by Anil Shrestha, continues to strengthen its position as a trusted provider of white-label dispatch software designed specifically for small limo and chauffeur operators. Built with real operational challenges in mind, the platform offers a complete dispatch solution that helps businesses run professionally, stay responsive, and scale without unnecessary complexity or long-term commitments. White-label dispatch software has become essential for operators who want their own brand front and center, not a third-party name. A to Z Dispatch delivers exactly that. The system allows limo and chauffeur companies to operate under their own branding while using a powerful backend that manages bookings, dispatching, driver communication, and customer coordination from a single dashboard. What this really means is control. Operators keep their identity, their customers, and their workflow fully under their name. A to Z Dispatch is best suited for small limo and chauffeur businesses that need reliability and clarity rather than bloated systems meant for large fleets. Whether managing one driver or a small team, operators can handle daily bookings, assign jobs efficiently, and track trip progress in real time. The included mobile app ensures drivers stay connected, receive trip details instantly, and manage their schedules without confusion. One of the strongest advantages of A to Z Dispatch is its risk-free entry point. New customers can access a 14-day free trial with no commitment. This allows operators to test the full white-label dispatch software in real-world conditions before making a decision. No contracts. No upfront pressure. Just a clear opportunity to see how the system fits their operation. Support is another area where A to Z Dispatch clearly stands apart. The company offers 24/7 availability via WhatsApp and email, understanding that transportation businesses don’t stop after business hours. Late-night airport pickups, early-morning corporate transfers, and last-minute booking changes are all part of the job. When support is needed, it’s there. That level of access is rare, especially for small operators who are often overlooked by larger software providers. After the trial period, pricing starts at $149 per month, making A to Z Dispatch one of the most accessible white-label dispatch software options on the market. The pricing structure is transparent and designed to grow with the business. Operators know exactly what they’re paying for, which helps with planning and long-term stability. A to Z Dispatch is headquartered at 1111B South Governors Avenue, Dover, DE 19904, United States. Sales inquiries can be directed to (718) 618-4363, while technical and operational support is available at (302) 499-1612 or via email at [email protected]. For operators looking to modernize their business with a reliable white-label dispatch software solution, A to Z Dispatch provides the right balance of flexibility, branding control, and hands-on support. More information is available at https://atozdispatch.com . Limo Operators can start their free trial at https://atozdispatch.com/signup and explore platform capabilities at https://atozdispatch.com/limo-dispatch-features-overview With a clear focus on small limo and chauffeur operators, A to Z Dispatch continues to prove that professional dispatch technology doesn’t need to be complicated, expensive, or locked behind long-term contracts.
- January 8, 2026Technology
ClickAway Managed IT Support Launches a Complimentary IT Health Check For Bay Area Businesses
Bay Area small and medium-sized businesses can now access a Complimentary IT Health Check from ClickAway Managed IT Support , aimed at helping organisations identify hidden risks, outdated systems and potential points of failure before they disrupt operations. The assessment, delivered as an On-Site Discovery or Network Evaluation, offers an in-depth review of infrastructure, security posture and workflow performance. The initiative responds to the costs associated with break-fix IT practices, which leave issues unattended until they escalate into urgent problems. Many businesses face unexpected emergency callout fees, lost productivity and prolonged downtime because unresolved glitches or vulnerabilities go unnoticed. ClickAway’s evaluation helps businesses understand how proactive IT support can reduce these risks and improve long-term continuity. The ClickAway team conducts the assessment in person, ensuring a clear view of each organisation’s environment and operational demands. With five Bay Area locations in Santa Cruz, Campbell , Los Altos , Almaden in San Jose and Sunnyvale , the company provides rapid, face-to-face assistance that remote-only providers cannot match. The review also offers businesses the opportunity to speak with independent managed IT experts about future-proofing, security improvements and strategic upgrades. “Many businesses only discover the true cost of downtime when an unmanaged issue becomes a critical failure,” said Thomas Sutherland, CEO of ClickAway. “A reactive break-fix model may seem convenient, but it exposes organisations to unnecessary risk. Our complimentary evaluation helps SMBs identify where vulnerabilities exist and shows how proactive IT management can provide stability, predictability and better financial outcomes.” ClickAway’s customer-focused approach has shaped its services for more than 22 years, with the company emphasising long-term partnerships and tailored advice. Its local presence gives the team firsthand insight into the challenges faced by Silicon Valley and Monterey Bay businesses, allowing recommendations to be aligned with each organisation’s sector, scale and growth plans. The complimentary evaluation is available to all businesses across the region, offering a clear starting point for those looking to modernise their systems, strengthen cybersecurity and prevent operational disruption. Read more about ClickAway Managed IT Support - ClickAway Santa Cruz IT Support Company Quoted as a Global Top Ten Rated Computer Repair Provider
- January 8, 2026Technology
XVision AI Revolutionizes Road Safety with a Unified Vision Platform for Modern Cities
For many years, road safety technology has been geared toward understanding what happened after the fact. Traffic cameras record collisions, enforcement systems capture violations, and analysts sift through reports to identify trends. Valuable as this is, it does little to intervene in the seconds and minutes when lives are actually at risk. As cities grow and streets become more complex, the need to move from reactive analysis to real-time prevention has become impossible to ignore. Photo Courtesy of: XVision AI XVision AI’s unified vision platform is built around this shift in mindset. At its heart is XVision EagleEye, an edge AI device that combines high‑resolution stereo vision with on‑device processing power. Rather than simply streaming video to a control centre, EagleEye continuously detects and classifies vehicles, pedestrians, cyclists, and other road users, tracks how they move through space, and identifies patterns that indicate heightened risk. Near misses, harsh braking, unsafe turning movements, and conflicts involving vulnerable road users can all be detected and quantified in real time. "Xvision is shifting road safety from 'lagging' to 'leading' indicators. Instead of waiting for a tragedy to justify an upgrade, it provides the data to prevent it." This constant, intelligent monitoring enables a different approach to safety. Instead of waiting for serious crashes to appear in statistics, cities can act on early warning signs. Operations teams can adjust signal timings at problematic approaches, add targeted enforcement, or redesign layouts armed with granular evidence of how people actually use the intersection. Over time, the network evolves based on real behaviour, not just historical crash records. One platform, many safety use cases A key advantage of a unified vision platform is its ability to support multiple safety and mobility scenarios through the same infrastructure. XVision EagleEye is designed to handle a broad spectrum of applications, from traditional tasks like stop‑bar detection and queue monitoring to more advanced functions such as conflict analysis, speed profiling, and vulnerable road user protection. Cities can start with a focused safety problem and expand into additional use cases without replacing hardware. Because the device integrates sensing, analytics, and connectivity, it can trigger local responses as well as feed centralised systems. At the intersection, EagleEye can support adaptive signal control, pedestrian priority phases, or warnings to connected infrastructure when risky situations are detected. At the network level, data from multiple sites can be aggregated into dashboards and reports that give safety teams a city‑wide view of risk, highlighting corridors where interventions will have the greatest impact. This flexibility is particularly valuable in modern cities where mobility patterns are changing rapidly. The rise of micromobility, new freight flows, and shifting commuting habits requires systems that can adapt quickly. With XVision AI’s platform, new detection logic and analytics can be rolled out via software updates, enabling cities to keep pace with real‑world change without fresh rounds of hardware procurement. Making safety scalable, affordable, and trustworthy Even when cities know what needs to be done, scaling road safety improvements has historically been difficult. Complex systems can be expensive to deploy, challenging to maintain, and hard to justify at every intersection. XVision AI addresses these barriers by making advanced safety intelligence both simpler and more economical to roll out. The all‑in‑one design of EagleEye reduces installation time and infrastructure demands, allowing integrators to complete more sites with the same resources. A single device replaces multiple legacy sensors and associated cabling, which not only lowers upfront cost but also reduces failure points over the life of the system. The ability to activate capabilities as needed and add new features over time turns road safety into an ongoing service rather than a one‑off spend, aligning better with how cities plan and budget. Trust is another essential ingredient. Citizens expect that safety technology will protect them without compromising privacy, and public agencies are increasingly scrutinised on how data is collected and used. XVision AI’s platform is engineered with strong privacy protections, allowing cities to capture the insight they need while respecting regulatory and community expectations. Data can be shared across departments and partners in a controlled way, ensuring that everyone from traffic engineers to policymakers works from the same evidence base. "There is a critical difference between smart infrastructure and surveillance. We built Xvision to stay strictly on the side of safety—ensuring cities can protect their roads without tracking their citizens." As more intersections adopt the unified vision platform, the benefits compound. Each site becomes safer and more efficient in its own right, while the network as a whole grows more intelligent with every additional data point. Over time, this can support ambitious “Zero Harm” or “Vision Zero” strategies, transforming road safety from a reactive, incident-driven process into a proactive, continuous improvement journey. In that transformation, XVision AI’s unified vision platform is more than another camera on a pole—it becomes a critical instrument in how modern cities protect their residents and shape safer streets for the future.
- January 8, 2026Technology
Mactores Cognition Inc. Recognized with AWS Agentic AI Specialization for Enterprise-Grade Autonomous AI Solutions
Mactores Cognition Inc. , building AI agents to solve complex industry and technology challenges with precision at one-third the cost and in one-fifth the time, announced that it has achieved the Amazon Web Services (AWS) Agentic AI Specialization, a new category launched within the AWS AI Competency. This specialization recognizes Mactores as an AWS Partner, which enables customers to deploy innovative, self-operating AI systems that can think, plan, and work independently to execute complex business processes. Photo Courtesy of Mactores Cognition Inc. The AWS AI Specialization in Agentic AI distinguishes Mactores as an AWS Partner with proven technical expertise and customer success in delivering production-ready autonomous AI systems that reason, plan, collaborate, utilize tools, and execute tasks, all the while continuing to improve. Mactores excels in implementing Amazon Bedrock Agents and other leading frameworks, enabling customers to move beyond AI experimentation to deploy autonomous systems that deliver tangible returns on investment. " Our customers don't just want AI that can generate content; they need AI agents that can securely take action in highly regulated environments, " said Bal Heroor, CEO at Mactores Cognition Inc. " This AWS Agentic AI Specialization validates our ability to architect responsible, auditable AI agents on AWS that automate decisions across complex workflows, while keeping humans in control and maintaining strict security, privacy, and compliance standards. ” Mactores designs and implements AWS-native Agentic AI systems that enable organizations to transition from experiments to production. Built on Amazon Bedrock and other AWS services, their multi-agent architectures coordinate specialized agents for retrieval, reasoning, and action, securely connecting to existing data platforms, applications, and APIs. Customers use these systems to automate complex, policy-driven workflows, reduce manual effort and cycle times, and gain consistent, auditable decisions with humans remaining in control. Across their AI Agent for Data Platforms, AI Agent for App & Database Modernization, and AI Agent for Intelligent Apps portfolios, they embed Agentic AI into existing technology stacks, delivering measurable impact such as 70–80% automation of manual workloads, 4–5x increases in operational throughput, processing latency reductions of up to 65%, and 38–42% cost reductions, while maintaining rigorous security, safety, and compliance standards. This Specialization ensures that customers can confidently select partners who demonstrate validated expertise in building and implementing enterprise-grade AI agents. These specialized partners help organizations deploy autonomous AI systems that can handle end-to-end business processes across diverse use cases, including enterprise knowledge operations, intelligent process automation, autonomous customer operations, financial operations automation, and supply chain optimization. This expansion of the AWS AI Specialization now includes partners that demonstrate advanced capabilities, delivering enterprise-ready generative AI and agentic AI systems to customers. About Mactores Cognition Inc. Mactores Cognition Inc. is a business consulting and data analytics firm that builds AI agents and modern data platforms to solve complex operational and technology challenges. As an AWS Partner with multiple AWS Competencies, including the new AWS AI Competency, Generative AI, Data & Analytics, Machine Learning, DevOps, and Migration Competencies, Mactores helps enterprises modernize their data systems, embed AI into business workflows, and deliver measurable outcomes that accelerate time to value and reduce costs.
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