Technology News
TTSSL Receives 2026 Global Recognition Award for AI-Powered Traffic System Sets New Safety Benchmark
Trinity Technologies and Software Solutions Pvt Ltd (TTSSL) has received a 2026 Global Recognition Award , an international distinction presented to organizations that demonstrate exceptional, measurable contributions to their respective industries. The award recognizes TTSSL's deployment of an AI-powered intelligent traffic management system on the Bengaluru–Mysuru Expressway, a project that achieved one of the most significant road-safety outcomes recorded on a national corridor in South Asia. Fatal accidents on the expressway dropped by 85%, a result that represents thousands of lives protected through deliberate and sustained technological execution. The Bengaluru–Mysuru Expressway presents one of the most operationally demanding environments for a traffic management deployment, with high daily volumes across multiple jurisdictions and round-the-clock enforcement coordination requirements. TTSSL's platform unified real-time traffic monitoring, Automatic Number Plate Recognition (ANPR), Red Light Violation Detection (RLVD), speed violation detection, incident detection, surveillance analytics, and centralized command-and-control operations into a single corridor management system. The outcome was not an incremental gain but a structural transformation in how safety is enforced and maintained along the corridor. A System Built for Real-World Conditions The deployment's significance lies not only in its technical scope but in the organizational discipline required to manage complex stakeholder relationships across government authorities, system integrators, enforcement agencies, and operational teams simultaneously. Edge AI components within the platform enabled real-time analytics without dependence on centralized processing, which proved critical in environments where incident response time directly affects safety outcomes. Enforcement teams gained the ability to detect violations, flag incidents, and act on reliable data in real time, improving both response speed and the quality of decisions made on the ground. The platform also produced a sustained shift in driver behavior, as consistent and data-driven enforcement changed how drivers approached the corridor over an extended period of operation. Achieving this behavioral change at scale required sustained system performance and reliable data output across varying traffic conditions, weather patterns, and enforcement scenarios, all of which TTSSL demonstrated throughout the deployment. The 85% reduction in fatal accidents reflects a durable transformation in public safety outcomes rather than a temporary or localized improvement. Innovation Grounded in Public Safety Global Recognition Awards evaluates applicants across multiple dimensions, including leadership, service, research, innovation, and technological advancement, assigning scores on a scale of 1 to 5, with 5 representing exceptional or world-class performance. Shortlisted nominations are assessed using the Rasch model, which constructs a linear measurement scale that allows fair comparisons across applicants who may excel in different areas. TTSSL scored highest across all innovation criteria, including novelty and originality, market impact, addressing global challenges, adoption rate, and disruption of existing paradigms. Rather than adapting an existing foreign system to local conditions, TTSSL built and deployed a platform specifically designed for the demands of Indian expressway infrastructure, enforcement protocols, and government coordination requirements. Developing technology that performs reliably within real institutional and environmental constraints is considerably more difficult than achieving results in a controlled setting, and TTSSL met that standard at a national scale. The platform's performance across ANPR, RLVD, and incident detection functions demonstrated technical soundness, operational resilience, and high accuracy across the full length of a high-volume, high-demand expressway corridor. TTSSL's commitment to advancing transportation safety is further demonstrated through its intellectual property portfolio, which includes a granted Indian patent for an enforcement device and a published patent application for a pedestrian safety system. These innovations reflect the company's ongoing investment in developing practical technologies that strengthen road safety and support the evolution of intelligent transportation systems. Final Words “TTSSL represents exactly what this award recognizes, because the company took advanced technology, deployed it under demanding real-world conditions, and produced outcomes that directly saved lives, and that combination of technical excellence and operational execution is what sets truly exceptional organizations apart,” said Alex Sterling, spokesperson for Global Recognition Awards. TTSSL's recognition reflects a broader shift in how infrastructure safety is being addressed across South Asia, where governments face mounting pressure to reduce road fatalities and technology providers are assessed not only on product capability but on their ability to deliver outcomes in complex, multi-agency environments. By reducing fatalities on a high-traffic national corridor by a margin that most road safety programs take years to achieve, Trinity Technologies and Software Solutions Pvt Ltd has set a clear and replicable standard for what intelligent transportation systems can accomplish. This recognition marks not only an acknowledgment of past achievement but a clear signal of the direction that impactful infrastructure technology is headed across the region and beyond. About Global Recognition Awards Global Recognition Awards is an international organization that recognizes exceptional companies and individuals who have significantly contributed to their industry.
Amasty Announces Comparative Analysis Identifying Six Managed Security Partners for Website Protection and Compliance
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HarnessRouter Open-Sources the World’s First Unified Interface for Agent Harnesses and the Unified Harness Protocol
- August 14, 2026Technology
Lyca Mobile Launches New US Prepaid Offer: 18 GB 5G Data, Hotspot and More for just $7.50
Lyca Mobile’s latest prepaid plan becomes one of the cheapest in the USA. Lyca Mobile, a leading mobile virtual network provider (MVNO), has introduced a new mobile plan, expanding its portfolio of affordable prepaid phone plans . The prepaid plan, the $33 High Data Plan , will be available to new users at a discounted price. Instead of $33 per month, users will only have to pay the promotional price of $7.50 for the first 6 months. The promotional price makes it one of the cheapest prepaid plans in the US. The promotional prepaid plan is expected to stir up the competition among the US telecom operators, especially among MVNOs, where prepaid plans are available at extremely competitive prices. Like other prepaid plans in Lyca Mobile’s lineup, users don’t have to pass a credit check when purchasing the $33 High Data Plan. This is particularly beneficial for those with poor or no credit history. The company stated that the plan will meet the call, text, and data needs of the budget-conscious mobile user, especially those looking for a prepaid plan with international calling and hotspot data under $10. With the launch of the new promotional prepaid plan, Lyca Mobile has increased its number of prepaid plans to 7. It currently has 3 plans in the sub-$20 range, 2 plans in the sub-$30 range, and 1 plan in the sub-$40 range, all across numerous data tiers. The $33 High Data Plan solves another issue of add-ons. Instead of paying a base price for a prepaid plan and then purchasing extras for the features they need, users will pay the promotional price of $7.50 for a fixed set of benefits, which include: 18 GB 5G data 10 GB Hotspot data Unlimited national calls and SMS Unlimited international calls and SMS to 100 countries $5 International roaming credit These features are intended to benefit a broad category of users, especially those who have just landed in the US and need a reliable and affordable mode of connectivity. The generous amounts of international minutes and the number of countries included may appeal to the immigrant population, especially those from European and Asian countries. Another advantageous aspect of the plan is the BYOD (Bring Your Own Device) model. Like other Lyca Mobile plans, users can get the plan for any compatible smartphone or tablet. The MVNO, which has been a part of the US telecom market for over a decade now, also allows users to bring their existing phone number to Lyca Mobile while purchasing this plan. This way, they can take advantage of the plan without going through the hassle of getting a new number. The $33 High Data Plan is available for purchase on the official Lyca Mobile website. Users also get the option to choose between a physical SIM card and an eSIM with this plan, both of which are available at zero additional cost. For more information about available prepaid eSIM plans , please visit https://www.lycamobile.us/en/ About Lyca Mobile US Lyca Mobile US is a mobile virtual network operator providing prepaid telecommunications services across the United States. The company offers a range of contract-free mobile plans that include data, voice, and messaging services, along with international calling options. Lyca Mobile US focuses on delivering accessible and flexible mobile solutions designed to meet the needs of diverse user segments, including individuals with cross-border communication requirements.
- August 14, 2026Technology
eAvio Flying Club Software Announces Flight Management Platform Acquisition
eAvio has recently acquired the FlightSnap platform along with its existing customer base. This strategic expansion consolidates capabilities for worldwide flight clubs and flight schools, combining FlightSnap's established features with eAvio's flexible aviation management infrastructure. For more information, visit: https://eavio.aero/ With a planned finalization and integrated platform launch date of Q1 2027, the acquisition addresses a critical need among aviation operators. eAvio now looks to provide scalable systems that streamline aircraft scheduling, pilot logbooks, and maintenance tracking without sacrificing reliability. By merging FlightSnap's proven feature set with eAvio's adaptable environment, then, the combined platform is primed to deliver functionality tailored to diverse operational requirements. Existing FlightSnap customers will retain access to their preferred tools while gaining the benefits of eAvio's expanded ecosystem once the two platforms join fully. This approach prioritizes business continuity, explains the company - allowing operators to plan confidently without disruption to their daily workflows. The transition timeline also provides ample opportunity for users to familiarize themselves with eAvio's interface and support infrastructure before the complete integration takes effect. eAvio distinguishes itself in the aviation management software market through direct customer engagement and personalized support. Clients receive 24/7 assistance with specific operational challenges or software customization requests. Such accessibility now extends to the FlightSnap customer base - replacing impersonal ticketing systems with responsive, human-centered help that adapts to individual organizational needs. The company’s broader footprint spans flight schools, flying clubs, and flight tour operators, reflecting its platform's ability to scale from single-user environments to complex, multi-aircraft operations. The upcoming integration will leverage this breadth of experience to deliver solutions that address a full spectrum of aviation management requirements, suggests eAvio - with the move already positioning its team to support two of the biggest tour operators in The Netherlands. “We are very happy about the development - and we’re excited to bring state-of-the-art aviation management solutions,” says a company spokesperson. “Be it standalone user, flight school, flight club, or tour operator, we are providing the best possible combinations of features to tailor to every need.” As such, both eAvio and FlightSnap users are set to experience expanded feature lists designed to meet their own operational models. eAvio envisions the integrated platform as a toolset for modern aircraft management - offering sought-after answers across the recreational and smaller commercial aero industries. Interested parties can find further details at: https://eavio.aero
- August 14, 2026Technology
Securafy Launches AI University to Turn Workplace AI Access Into Practical Capability
Securafy today announced the official launch of AI University, a learning platform created to help professionals and organizations turn access to artificial intelligence into practical capability, useful work, and better judgment. AI tools have entered the workplace faster than many people have learned how to apply them safely and productively. Employees can now draft content, analyze information, automate repetitive tasks, accelerate research, and move ideas toward working first versions. Access to those tools, however, does not automatically show someone where AI will genuinely help, how it applies to a specific role, or where human review remains necessary. AI University was created to address that gap. The platform provides role-based learning paths for individual professionals, business leaders, teams, builders, and developers. Rather than treating AI as a single general-purpose subject, the learning experience connects instruction to the responsibilities, workflows, and decisions people encounter in their actual work. A marketing professional and a finance professional may use the same underlying technology, but they do not use it for the same reasons. A company leader evaluating AI adoption faces different questions than a developer building an agent or automation. AI University reflects those differences through learning paths designed around the work each audience is responsible for completing. “ Most people do not need another explanation of why AI matters. They need help using it for the work already in front of them, ” said Randy Hall, CEO of Securafy. “ AI University was built to help people develop a real capability, create something useful, and make better decisions about how AI fits into their work. ” Learning Built Around Useful Work AI University focuses on application rather than passive exposure to information. Depending on the selected path, learners can work toward creating repeatable workflows, useful automations, working projects, stronger role-specific skills, and more informed processes for reviewing AI-generated output. The purpose is not to leave learners with another folder of notes. It is to help them understand where AI can reduce repetitive work, support higher-value decisions, and move a useful first version from idea to reality sooner. AI can materially compress parts of research, drafting, development, analysis, and iteration. The platform teaches learners how to identify those opportunities while maintaining realistic expectations about what the technology can and cannot do. The full selection of available learning paths can be reviewed through the AI University course catalog . Guidance That Continues Beyond the Lesson An AI coach is available within paid lessons to support questions and help learners apply the material. This guided model is designed to reduce the distance between understanding a concept and using it in a practical setting. Learners can ask for clarification, work through an application, and continue exploring how the lesson relates to their responsibilities. The AI coach does not replace the learner’s judgment or complete the work on the learner’s behalf. It provides another layer of guidance as the learner moves from instruction into application. That distinction is central to the platform’s approach. AI University is not designed around passive attendance or the assumption that completing a lesson automatically creates expertise. Progress is connected to participation, application, and the work required within the selected learning path. Learners can explore account options and enter the learning platform at learn.securafyai.com . Security and Judgment From the Beginning AI University was developed by a cybersecurity company because the ability to use AI effectively cannot be separated from the responsibility to use it carefully. Many employees began using public AI tools before their organizations had established clear guidance about company information, confidential data, output review, or acceptable use. A written policy may establish boundaries, but a policy alone does not teach someone how to apply AI to the job. Security instruction is therefore incorporated into the learning process rather than added as an isolated warning at the end. Learners receive guidance on handling information, evaluating AI-generated output, recognizing appropriate boundaries, and understanding when human oversight remains necessary. The objective is not to create fear around AI adoption. It is to help people work more confidently because they understand both the opportunities and the limits. This approach reflects Securafy’s experience helping organizations adopt technology while managing cybersecurity, compliance, privacy, and operational risk. AI University extends that security-first perspective into practical AI learning for individuals and teams. Different Paths for Individuals and Organizations Individual learners can select paths that reflect the work they perform or the capabilities they want to develop. The platform is intended for people who want to apply AI to their current responsibilities, expand their professional skills, build projects, or better understand how modern AI tools can support their work. Company learning addresses a different need. Many organizations already have employees experimenting with AI, but usage may vary widely across departments. Some employees are developing useful workflows while others remain uncertain about which tools to use, what information can be shared, or how to evaluate the results. AI University gives organizations a way to develop capability across different roles while maintaining a clearer foundation for responsible use. Leaders, marketing teams, sales teams, finance teams, operations teams, builders, developers, and other employees can follow learning paths relevant to their work rather than receiving one generic lesson about AI. The goal is not simply to increase AI activity. It is to help organizations develop people who can use the technology with greater purpose, consistency, and judgment. Progress Connected to Applied Capability AI University also connects progress and eligible credentials to completed work. Credentials are intended to represent required learning and application rather than attendance alone. Depending on the learning path, a learner may leave with a useful workflow, a working project, a stronger role-specific skill, or earned proof of applied capability. This gives learners something more meaningful to carry forward than a completion screen from a multiple-choice exercise. Credential language and availability remain tied to the requirements and functionality of the live platform. AI University does not describe its certificates as accredited, officially recognized, endorsed, or validated by an outside institution. From Early Access to Public Launch AI University opened for early access on August 11, giving initial learners an opportunity to explore the platform before its official public launch on September 1. The early-access period also allowed Securafy to introduce the platform through a deliberate sequence: why it was created, who it was created for, why practical AI capability matters, how the learning experience works, and what learners and teams can reasonably expect to build or demonstrate. With the public launch, AI University is now available to professionals and organizations seeking a more practical path from AI access to useful application. Information about the platform, learning experience, individual access, and company options is available at securafyai.com . About Securafy Securafy provides managed IT, cybersecurity, cloud, compliance, and AI services to businesses that require consistent protection and performance. The company works with business leaders across Ohio and regulated industries nationwide to reduce risk, improve resilience, and align technology with measurable business outcomes. AI University extends Securafy’s security-first approach into professional and organizational AI learning. The platform is built around practical application, role relevance, responsible information handling, human judgment, and useful outcomes.
- August 14, 2026Technology
touchpoint.systems highlights the hidden cost of disconnected marketing stacks for Australian businesses
PRESS RELEASE FOR IMMEDIATE RELEASE touchpoint.systems ________________________________________________________________________________ BRISBANE, Australia — 30 July 2026 touchpoint.systems highlights the hidden cost of disconnected marketing stacks for Australian businesses touchpoint.systems, a Brisbane-based marketing systems company, has drawn attention to industry research showing that fragmented marketing technology stacks are causing significant, measurable revenue losses for Australian businesses — losses that remain largely invisible without end-to-end attribution. touchpoint.systems, a Brisbane-based integrated marketing systems company, has highlighted research indicating that the fragmentation of marketing technology (MarTech) stacks is costing businesses between 20 and 30 percent of annual revenue — a loss that typically goes undetected because the disconnected systems generating it are also the ones responsible for measuring performance. The scale of the problem has grown alongside the MarTech industry itself. The number of distinct marketing technology solutions available globally has expanded from approximately 150 in 2011 to 15,384 in 2025, according to industry analysts. Despite that proliferation, marketing teams report actively using only 49 percent of their stack's capabilities on average, and only 23 percent of business-to-business (B2B) marketers report having fully integrated data flows that operate without manual intervention. The operational consequences are material. Research indicates that 65.7 percent of marketers identify data integration as the leading barrier to achieving value from their technology investment. Marketing teams in fragmented environments spend a disproportionate share of their time manually reconciling data between systems — time that comes directly at the expense of strategic and revenue-generating activity. For a business turning over $10 million annually, a 20 to 30 percent revenue impact from disconnected sales and marketing data equates to between $2 million and $3 million in foregone income each year. For Australian businesses in particular, the stakes are amplified. Australian small and medium enterprises (SMEs) allocate an average of only two to three percent of total revenue to marketing, according to local industry data — leaving substantially less margin for inefficiency than their larger counterparts. In that environment, undetected waste in marketing spend is not a minor operational issue; it is a constraint on growth. "The core problem is that disconnected tools produce disconnected data, and disconnected data makes it impossible to see what is actually driving revenue," said Tony Gavin, founder and director of touchpoint.systems . "Businesses often know their marketing isn't working as well as it should, but they can't pinpoint why, because the system they'd use to investigate the problem is the same fragmented system causing it." touchpoint.systems addresses the issue through stack interoperability , connecting a business's existing CRM (customer relationship management) platform, advertising tools, analytics systems, email, social media, and sales data into a single integrated environment. Attribution modelling is applied across every customer touchpoint, with outputs delivered through custom data visualisation dashboards that give business owners and their teams a unified view of what is driving enquiries and sales. The company's approach is platform-agnostic: rather than replacing a client's existing tools with new technology, touchpoint.systems works with what is already in place, resolving the integration failures that prevent those tools from delivering their full value. Gavin, who brings more than 20 years of experience in digital marketing to the company, including 14 years as founder and chief executive of ROI Media, a Hong-Kong based digital marketing agency, said the pattern of fragmentation-driven waste had been consistent across the businesses he had worked with throughout his career. "The businesses that have the clearest view of their marketing, where every tool talks to every other tool and every dollar of spend is traceable, are the ones that grow most predictably. Connectivity is the foundation everything else is built on." touchpoint.systems launched in Brisbane in 2026. Further information is available at https://touchpoint.systems/ . ________________________________________________________________________________ Media Contact Name: Tony Gavin Company: touchpoint.systems Email: tony@touchpoint.ltd Phone: +61 406 764 555 Address: 2 Benson Street, Toowong QLD 4066, Australia Media Room: https://media.touchpoint.systems/ ###
- August 13, 2026Technology
Shaip scales single Physical AI collection program to 5,000 valid hours per month
New York, NY — Aug 13, 2026 — Shaip, a provider of AI training data collection and annotation services, has scaled a single ongoing Physical AI data collection program to 5,000 valid hours of egocentric virtual reality (VR) motion capture per month. The program supports a humanoid robotics developer building sim-to-real systems, in which models trained in simulation transfer to physical robots, and runs on a recurring monthly cycle rather than a one-time collection. Physical AI refers to artificial intelligence that acts in the physical world through robots and other embodied hardware rather than in software alone. Training it requires recorded human demonstrations of physical tasks, captured with consistent calibration and quality control so developers can segment and evaluate each episode. Shaip Physical AI collection Each cycle draws on 1,500 to 2,500 participants and covers 300 to 400 customer-defined tasks spanning locomotion, object manipulation, household and office interaction, and multi-step physical workflows. Capture uses a VR headset paired with five body-mounted motion trackers, producing full-body motion data rather than video alone. Recording takes place across more than 50 distinct capture settings — individual locations such as a factory assembly bench, an office conference room, a pharmaceutical packaging line, a café espresso station, a warehouse picking aisle or a home kitchen — grouped under six environment types. Setting-level variation matters because a policy trained on one representative room degrades when object placement, lighting and layout differ. Teams developing vision-language-action (VLA) models need continuous data supply across successive training runs, and pipelines that perform at pilot scale often fail to hold accuracy at recurring high volume. The monthly figure is output on one program, not the limit of available capacity. "Physical AI programs fail on operational consistency more often than on volume," said Utsav Shah, SVP and Business Head at Shaip . "The task library and the calibration discipline are what let a 5,000-hour monthly cycle stay comparable across thousands of participants and more than 50 capture settings." Consistency is maintained through a standardised pipeline. Each location is documented with wide-angle photography, configured in an administrative system, submitted for customer review and exported as a scene reference for object placement. QR-linked mapping ties each setting to its recording context. Before every session, all five trackers are paired and validated, and calibration is mandatory for each participant, covering avatar alignment, floor adjustment and boundary setup. Participants rehearse tasks before recording. Moderators observe through browser-based screencasting and advance to live capture only once sensor behaviour and participant movement meet defined thresholds. Sessions are reviewed for motion clarity, task correctness, scene alignment and sensor accuracy, with unusable recordings retaken before counting toward valid hours. Delivery details are documented in the Shaip case study . Task selection draws on a standing library of more than 1,400 documented scenarios across industrial, hospitality, retail, office, residential, agriculture, automotive and construction environments. Each specifies task goal, guidelines, objects, initial setup, expected outcome, duration, difficulty tier, tool use and safety notes, with episodes running 0.5 to 10 minutes. Standardised scenarios give consistent initial states and comparable success criteria across participants and cycles — properties VLA and imitation-learning pipelines need for episode segmentation. Clients select from the library or commission new scenarios, as described on the Physical AI data catalog page. About Shaip Shaip is a leading AI data platform and services provider specializing in the sourcing, creation, licensing, and transformation of high-quality, ethical, and domain-specific data for AI and machine learning applications. Shaip supports Physical AI, Healthcare AI, Computer Vision, Generative AI, and Conversational AI use cases for leading AI labs and enterprise customers worldwide. Learn more at shaip.com Media Contact Anubhav Saraf: Director - Marketing, Shaip marketing@shaip.com www.shaip.com
- August 13, 2026Technology
Ghost Surface LLC Launches The Hidden Workspace Kit: A Workspace Architecture Designed to Cure Digital Fatigue and Restore Focus
FOR IMMEDIATE RELEASE Modern professionals are facing a quiet crisis: the collapse of deep concentration. Visual clutter, tangled charging cables, and relentless screen time drain the cognitive reserves required for high-level, sustained work. To combat this modern epidemic, Ghost Surface LLC has officially launched its premium workspace collection, curated specifically to cure desk-induced mental strain and optimize the environment for peak productivity. The brand rejects the idea that a workspace needs more gadgets. Instead, Ghost Surface LLC focuses on an "invisible" and psychological approach to desk architecture, offering solutions that actively clear the mind by first clearing the physical space. “Most professionals operate under a dangerous illusion, confusing a chaotic desk with actual productivity,” said Dilanka Jayananda, Founder of Ghost Surface LLC. “We curated this collection to solve the concentration problem at its root. With full FCC, CE, and RoHS safety certifications—backed by an integrated multi-protection system that actively prevents over-heating, over-voltage, and short circuits—this is not just an aesthetic upgrade; it is a reliable, frictionless environment built for deep work.” The Complete Solution for Cognitive Strain To solve the friction of the modern workday, Ghost Surface LLC has launched its flagship setup, featuring two core items designed to work in tandem: * The Sub-Surface Charger (The Decluttering Agent): Cords create subconscious stress and steal valuable desk real estate. This charging unit mounts completely out of sight beneath the desk, utilizing advanced technology to power devices through up to 28mm (1-1/8") of solid wood or glass. By removing the charger from the visual field entirely, it eliminates cable chaos and reclaims the physical space necessary for a clear, uncluttered mind. * The Kinetic Sphere (The Focus Anchor): To solve the inevitable onset of digital fatigue and brain fog, the Kinetic Sphere acts as a physical reset button for the brain. Crafted from solid aerospace-grade metal, this gravity-defying kinetic sculpture creates a silent, hypnotic optical illusion. When a professional hits a mental wall or screen strain sets in, a quick spin provides an essential, screen-free short break. It channels nervous energy into sharp, sustained focus and instantly restores concentration. Together, these items form The Hidden Workspace Kit, a comprehensive solution that transforms an ordinary, stress-inducing desk into a distraction-free zone optimized for flow states. About Ghost Surface LLC Ghost Surface LLC is a registered direct-to-consumer brand dedicated to high-end, minimalist workspace architecture. Backed by a 1-Year Premium Replacement Warranty, the company provides the ultimate foundation for a distraction-free, highly focused professional life. Ghost Surface LLC operates as a subsidiary of 333 Trimora LLC, headquartered in Sheridan, Wyoming. The collection is currently available for individual consumers, corporate gifting, and commercial office upgrades. To explore the collection and upgrade your workspace, visit theghostsurface.com. Media Contact: Ghost Surface LLC Press Team hi@theghostsurface.com https://theghostsurface.com
- August 13, 2026Technology
30 Data-Collection Robots Deployed at Yibin Embodied AI Training Center with SEER Robotics’ “Robot Brain”
Thirty high-performance, multi-form data-collection robots are being deployed at the Yibin Humanoid Intelligent Robot Training Center in Yibin, China, bringing SEER Robotics’ “Robot Brain” technology into a multi-robot embodied AI training environment. Some units have already been delivered to the facility, supporting multimodal and multi-condition data collection. According to publicly available information, the training center project includes 30 high-performance, multi-form data-collection robot platforms and supporting teleoperation equipment. The center is being developed around data collection, model training, skill training, scenario applications and data transactions, providing infrastructure for robot training optimization, real-world applications and broader embodied AI development. The robots are supplied by LingYu Robotics. Unlike single-robot testing, multi-robot training environments must accommodate different robotic forms, hardware configurations and operating conditions. SEER Robotics’ “Robot Brain” provides a control layer between robotic hardware and higher-level applications, connecting hardware, sensors and actuators while supporting the development, integration and deployment of different robotic systems. The robot controller technology behind the “Robot Brain” received the 2026 IEEE Robotics and Automation Product Innovation Award, making SEER Robotics the first Chinese robotics company to receive the honor. The technology is backed by more than a decade of development in robot control. Since 2015, SEER Robotics has developed robot controllers and related software systems integrating different LiDARs, motor drives, battery communication protocols and industrial interfaces into a common control architecture. By the end of 2025, more than 50,000 core robot controllers had been deployed across more than 2,100 companies, with SEER Robotics ranking first globally in intelligent robot controller shipments for three consecutive years, according to China Insights Consultancy (CIC). As embodied AI moves from individual-system validation toward multi-robot training and larger-scale deployment, competition is increasingly extending beyond individual robots and AI models to the underlying control and systems infrastructure. Standardized and reusable robot control technologies could therefore become an important layer of the infrastructure required to scale embodied AI across different robot platforms and application environments. About SEER Robotics SEER Robotics is a globally leading robotics company specializing in Robot Brain technologies and intelligent robots, ranked No. 1 in global intelligent robot controller shipments for three consecutive years. Headquartered in Shanghai, the company operates globally with subsidiaries and offices in Hong Kong, Germany and Japan. At the core of the company is its Robot Brain technology, which enables the development, deployment, and management of diverse robot systems through a unified platform. SEER Robotics serves 2,100+ customers across 70+ countries and regions and 20+ industries, enabling the scalable deployment of intelligent robots worldwide.
- August 13, 2026Technology
AssistRing Launches ARIS, Bringing 100% AI Quality Assurance to Customer Service Outsourcing
AssistRing, a managed customer service BPO founded in 2024, today announced the launch of ARIS, its proprietary AI suite for customer support operations. ARIS comprises four products developed by the company's own engineering team: Sage for full-coverage quality assurance, Edith for real-time call translation, Agent Copilot for live in-conversation guidance, and VOX for autonomous voice and chat handling. The suite is being made available to clients as part of AssistRing's managed service rather than sold as standalone software. The Measurement Gap ARIS Was Built to Close For decades, outsourced call center and customer support operations have relied on manual quality assurance sampling, because reviewing every interaction was not operationally practical. A quality analyst scores a limited set of calls, and managers use that sample to identify trends. Industry practice commonly puts that sample at 1 to 3 percent of conversations. The method gives brands some visibility, but it leaves the large majority of customer conversations unreviewed and unused for improvement. Sage is built to remove that limitation. The evaluator scores 100 percent of customer conversations against each client's own scorecard, giving support leaders account-level visibility into recurring policy gaps, coaching needs, escalation patterns, and service risks. Instead of extrapolating from a handful of reviewed calls, clients can see patterns across the full conversation set. "Every BPO in the world will tell you they care about quality, then show you a report built on two percent of the calls. We built Sage because that never sat right with me. If you are only listening to two percent, you are not measuring quality, you are guessing at it and hoping the sample was representative. We score every conversation, we show clients the full picture including the parts that make us look bad, and we fix what the data actually says is broken," said Arsalan Kamran, CEO and Co-Founder of AssistRing. ARIS Points AI at Measurement and Agent Capability Alongside Sage, the ARIS suite includes three further products. Edith provides real-time call translation across more than 60 languages, allowing a trained agent to serve customers in multiple markets without a separate language team for each one. Agent Copilot surfaces the relevant standard operating procedure, policy, or answer during a live interaction, which is intended to shorten new-agent ramp time and reduce escalations caused by knowledge gaps. VOX handles high-volume repetitive voice and chat contacts autonomously and transfers to a human agent when a conversation requires judgment or exception handling. All four products operate within AssistRing's human-in-the-loop model. AI is assigned to measurement, translation, repetitive contacts, and real-time agent assistance, while trained agents remain responsible for interactions involving exceptions, retention risk, complex troubleshooting, or emotional context. "The industry got the AI question backwards. Everyone is racing to automate the conversation and leaving the measurement manual. We did the opposite. Automate the measurement, give agents better tools in the moment, and protect the human on the calls that decide whether a customer stays or leaves," said Kamran. Language Coverage for Market Entry Edith addresses a second constraint common in multilingual customer support outsourcing. Traditional multilingual support requires separate recruiting, training, and management for every language team, which makes simultaneous market entry slow and expensive. Real-time translation lets one trained agent hold a live conversation across language markets, changing market entry from a hiring problem into a configuration one. AssistRing supports e-commerce, SaaS, hospitality, retail, real estate, and healthcare-adjacent businesses, with engagements ranging from small pilot pods to fully managed departments. Services include tier one and tier two support, order and returns management, appointment scheduling, client intake and scheduling, technical troubleshooting, email, live chat, social support, back office workflows, and after-hours coverage. "Language should not be the reason a good company cannot enter a market. Before Edith, serving customers in a new country meant recruiting a whole new team in that language. Now it means turning it on," said Kamran. Managed BPO Structure Keeps Accountability With One Provider AssistRing is the legal employer of the agents assigned to client accounts. The company is not a staffing agency, employer of record intermediary, freelancer marketplace, virtual assistant service, or standalone AI software vendor. It is responsible for hiring, training, account management, quality, and performance, rather than passing accountability across multiple vendors. AssistRing maintains registered corporate entities in the United States and Germany for local contracting and client-facing account management, including German-language leadership for DACH accounts. Service delivery runs from the company's operations center in Karachi, Pakistan, where more than 100 agents provide 24/7 coverage across voice, email, live chat, social, and back office workflows. The structure gives clients in-market accountability and cost efficiency through a single managed provider. Track Record Since 2024 AssistRing has grown since its 2024 founding to support clients including Royal Nawaab in UK hospitality, AmazeWholesale in e-commerce and wellness, and Locum Smart in UK healthcare staffing. Verified client feedback on Clutch documents outcomes including a call drop rate reduced from 40 percent to under 3 percent, tens of thousands of inbound calls handled monthly, and 24/7 coverage maintained 365 days a year. AssistRing holds a verified 5.0 rating on Clutch and is recognized among leading BPO and customer support providers in Pakistan. Case studies, including work with Royal Nawaab and AmazeWholesale, are available through the company's portfolio. Company updates and operational announcements are published through AssistRing's LinkedIn channel. The company can be contacted at info@assistring.com . Data Handling and Account Readiness AssistRing maintains GDPR-compliant data handling processes for European and UK clients and HIPAA-ready workflows for healthcare-adjacent engagements. These workflows include access controls, agent training, and audit trails. The company does not present these workflows as certifications, but as operating processes designed for clients that require controlled handling of sensitive customer information. AssistRing treats its 2024 founding as an operational advantage. The company built its quality model around AI-enabled measurement from the start, rather than adding AI tools to a manual sampling process designed for an era when reviewing every conversation was impossible. For support leaders evaluating a customer support BPO, that produces a different question to ask a provider: how much of the customer experience can you actually see, evaluate, and act on. About AssistRing AssistRing is a managed customer service BPO founded in 2024 and serving clients across the United States, United Kingdom, and DACH region. The company is the legal employer of its agents and manages hiring, training, quality, and performance for client accounts. AssistRing maintains registered corporate entities in the United States and Germany for contracting and client-facing account management, while service delivery runs from its operations center in Karachi, Pakistan. Its more than 100 agents provide 24/7 support across voice, email, live chat, social, and back office services. AssistRing supports e-commerce, SaaS, hospitality, retail, real estate, and healthcare-adjacent businesses. Its proprietary ARIS suite includes Sage, Edith, Agent Copilot, and VOX, delivered as part of its managed service. The company maintains GDPR-compliant data handling processes for European and UK clients and HIPAA-ready workflows for healthcare-adjacent engagements. More information is available at assistring.com , including ARIS , Edith , Sage , and Agent Copilot . The company can be contacted at info@assistring.com .
- August 13, 2026Technology
Yihong Zou's CySecure Targets Cybersecurity Fragmentation with Integrated AI-Driven Platform
CySecure Innovations Inc., an AI-driven cybersecurity company, is developing an integrated platform designed to connect threat intelligence, cloud security assessment, and network monitoring. The system addresses a common challenge in enterprise security: critical signals are often spread across separate tools, databases, and reporting workflows, making it difficult for organizations to identify risks quickly and respond with the right context. CySecure was incorporated on June 23, 2026, and presented its approach four days later at “One-Person Unicorn: The Soloist's Ascent | 2026 Pitch Day” in New York City. The company received a Beta Selected Prize at the event. The company frames fragmentation as one of the key issues facing security teams. Threat intelligence is scattered across vulnerability databases, security reports, vendor feeds, and real-time logs. Cloud security assessments can be subjective and difficult to compare across providers. Monitoring tools often operate separately from threat intelligence and cloud risk scoring. CySecure's AI-driven approach is designed to structure this information into connected relationships that can support risk assessment, monitoring priorities, and response workflows. CySecure describes its system as a connected workflow that moves from threat intelligence to cloud risk assessment to monitoring and response. Its Cybersecurity Knowledge Graph Platform organizes threat intelligence into a structured graph of relationships among vulnerabilities, attack methods, malware, and affected systems. Its Cloud Computing Security Assessment System produces cloud security scores through a structured evaluation process that supports provider comparison and compliance review. Its Network Security Monitoring Toolkit detects intrusions, monitors performance anomalies, and supports real-time response. The cloud assessment component applies the analytic hierarchy process and fuzzy comprehensive evaluation to score cloud security more systematically. This technical direction is connected to the founder's research on cloud computing security assessment, which uses hierarchical analysis and fuzzy evaluation to turn multiple security factors into a more structured scoring model. The knowledge graph component is connected to related work on the construction and optimization of cybersecurity knowledge graphs using open information extraction and graph convolutional networks. The monitoring toolkit is also linked to his work on computer network security monitoring system design, where the focus is on detecting network behavior, identifying anomalies, and supporting timely security response. Together, these research areas form part of the technical foundation behind CySecure's assessment and monitoring components, while the commercial system remains in development. For its initial market, CySecure is looking at organizations that face complex security and compliance needs without always having the resources of large internal security teams. This includes small and mid-sized U.S. enterprises, government agencies and contractors, and larger enterprises in sectors such as healthcare, finance, and manufacturing. The company intends to begin with small and mid-sized enterprises and government contractors, where affordable tools aligned with U.S. compliance frameworks such as NIST and FedRAMP may be especially relevant. Yihong Zou, the founder of CySecure, brings a background across AI-driven cybersecurity, threat intelligence, cloud security assessment, and network monitoring. Trained in computer science at Carnegie Mellon University, he has published research on network security monitoring and cloud security assessment. This combination of security-focused research and technical training provides context for CySecure's effort to connect intelligence, assessment, monitoring, and response. CySecure remains in an early stage, and many of its broader plans are still goals rather than demonstrated market outcomes. As organizations look for security tools that connect intelligence, assessment, monitoring, and response, the company's work reflects an early effort to bring these functions into a more unified cybersecurity workflow.
- August 13, 2026Technology
Xiangtian Hui Examines Machine Learning and Data Engineering Methods for Healthcare Data Systems and Cancer Informatics
As healthcare systems generate larger volumes of clinical, imaging, and administrative data, a persistent question is how that information can be organized and modeled to support medical decision-making. Records often accumulate faster than systems can standardize or connect them, creating a gap between raw data and usable information. A series of research papers examines this question across several stages of the healthcare data pipeline, from the databases that store medical records to the machine-learning methods built on top of them. In the 2026 paper Research on the Design and Optimization of Automated Data Collection and Visual Dashboard in the Medical Industry, published in the Journal of Computer, Signal, and System Research, automated data collection and visual dashboards are examined as methods for making medical data more accessible in operational settings. Much of the potential value of healthcare data is held in systems that are large, fragmented, and difficult to query, limiting how readily the information can support downstream analysis. This work treats data infrastructure as a starting point for healthcare AI, based on the premise that analytical models depend on the pipelines that supply their data. In the 2025 paper Utilize the Database Architecture to Enhance the Performance and Efficiency of Large-Scale Medical Data Processing, published in Artificial Intelligence and Digital Technology, database architecture is examined in relation to the performance and efficiency of large-scale medical data processing. A second strand of the research applies machine learning to cancer-related problems. The 2025 paper Research on the Application of Integrating Medical Data Intelligence and Machine Learning Algorithms in Cancer Diagnosis, published in the International Journal of Engineering Advances, examines how medical-data intelligence and machine-learning algorithms can be combined to support cancer diagnosis. A companion study, Research on Improving the Matching Efficiency between Cancer Patients and Clinical Trials Based on Machine Learning Algorithms, published in the Journal of Medicine and Life Sciences, considers the use of machine-learning methods to improve the process of matching cancer patients with potentially relevant clinical trials. A third strand addresses the unstructured text found in medical records, where information may appear in free-form notes rather than standardized fields. In Research on Medical Named Entity Recognition Technology Based on Prompt BioMRC Model for Deep NLP Algorithm, published in the International Journal of Big Data Intelligent Technology, a prompt-based model is examined for identifying medical entities in text. A related study, Medical Entity Recognition Based on Bidirectional LSTM-CRF and Natural Language Processing Technology and Its Application in Intelligent Consultation, applies a bidirectional LSTM-CRF approach to medical entity recognition and considers its application in intelligent consultation. Taken together, the studies can be read as addressing connected stages of healthcare data processing: the infrastructure used to collect and store information, the machine-learning methods applied to cancer diagnosis and clinical-trial matching, and the natural-language methods used to convert medical text into structured data. Each strand focuses on a different part of the process through which medical data may become usable within an analytical system. The author of this research, Xiangtian Hui, works across software engineering, machine learning, and healthcare data. His research includes medical data infrastructure, cancer informatics, and medical natural-language processing. This combination places his work at the intersection of software engineering and healthcare-related data analysis. By connecting data engineering, predictive modeling, and medical language processing, this body of work offers one view of how related stages of a healthcare data system can be studied together. The papers point toward a broader research direction in which data infrastructure, machine-learning methods, and language-processing systems are considered as connected components of healthcare AI. Developing and evaluating those connections remains an area of active research.
- August 13, 2026Technology
Hummingbird Development Fund A to Expand Residential Investment Opportunities Across Northern California
Christopher Duffy, Founder and CEO of Hummingbird Development , has announced the launch of Hummingbird Development Fund A, a private real estate investment fund created to expand the company's residential development efforts throughout Northern California. The launch of the new fund expands Hummingbird Development's investment offerings and supports its ongoing residential development activities in Northern California. The fund is designed to acquire, develop, and construct single-family homes through the company's integrated real estate platform and is available to accredited investors. Northern California continues to face one of the country's most persistent housing shortages, driven by strong job growth, limited inventory, and increasing demand for quality homes. Through Fund A, Hummingbird Development plans to address these market conditions by identifying high-potential residential projects, managing every stage of development in-house, and creating value through disciplined acquisitions, construction, and project execution. Hummingbird Development oversees multiple stages of the real estate development process, including property acquisition, entitlement, construction, sales, and marketing, through an integrated operating model. The company applies this approach across its residential development projects in Northern California. “The launch of Hummingbird Development Fund A represents the next chapter in our company's growth,” said Duffy. “We've spent years building a development platform designed to identify opportunities, execute efficiently, and create lasting value. This fund allows us to expand our impact by delivering much-needed housing while giving investors the opportunity to participate in Northern California's long-term growth story.” Real estate investment models traditionally rely heavily on third-party developers and contractors. Hummingbird Development manages each project through its own integrated team, granting its team greater operational efficiency, stronger oversight throughout construction, and a disciplined investment strategy focused on long-term success. Fund A is structured as a five-year private investment vehicle targeting a 10% preferred annual return with quarterly distributions. The fund is designed for accredited investors seeking exposure to residential real estate development in a region supported by strong economic fundamentals, high barriers to new construction, and sustained demand for single-family housing. As Hummingbird Development continues expanding its portfolio throughout Northern California, the launch of Fund A reinforces the company's long-term commitment to building communities, addressing housing demand, and creating sustainable value through thoughtful residential development. For more information about Hummingbird Development Fund A or to learn more about investment opportunities, please contact Janay Howard, Publicist at Otter PR, at janay.howard@otterpr.com . About Hummingbird Development HummingBird Development is a Northern California-based real estate development company focused on creating thoughtfully designed homes and innovative solutions for today’s evolving housing market. HummingBird Development specializes in residential projects, remodels, and strategic investments that help homeowners, buyers, and communities navigate the changing real estate landscape. Through a combination of market expertise, creative problem-solving, and a commitment to quality craftsmanship, HummingBird Development delivers projects designed to add long-term value and meet the needs of modern homeowners.
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