Bad Data Hits Automated Workflows Instantly. Clearout Moves Qualification Upstream

By: James Vance – SeaPRwire – Automation moves fast. Bad contact data moves faster. Once an invalid email or unreachable number enters a CRM it starts feeding campaigns, routing rules, enrichment tools and sales sequences. Periodic cleanups arrive too late. Clearout is pushing qualification earlier, right at capture and at the moment records hit the CRM.

Clearout announced the expansion on 23 September 2026. The platform now includes Data Pulse and advanced Form Guard features. Data Pulse brings continuous qualification inside CRM workflows. When contacts arrive from forms, imports or integrations it evaluates email, phone and name fields. Validation and enrichment results sync back to the record. Teams see usable versus problematic data without exports or spreadsheet cycles. More than 6,000 CRM accounts are already monitored this way. Form Guard protects over 200,000 forms. It began as real-time validation that blocks invalid emails, phones, gibberish names and fake submissions before they reach downstream systems. New layers add Form Analytics, Form Forensics and Lost Lead Recovery. Analytics shows allowed and blocked submissions, trends and page-level quality patterns. Forensics drills into individual interactions with verdicts, reasons, timestamps, URLs and field details that can be filtered and exported. Lost Lead Recovery surfaces verified contact details entered on abandoned forms so teams can decide on follow-up under their own policies. Deep Verify tackles catch-all emails. Instead of a generic risky label it applies deeper checks and returns a clearer Safe-to-Send signal. ClearoutPhone is advancing from basic validation toward fuller phone qualification that includes reachability, carrier, line type, channel availability, risk indicators and suggested outreach actions. Founder Gnanaprakash Rathinam said real-time quality is paramount once automation and AI sit in almost every GTM workflow. Businesses need confidence the data comes from a trusted source before any workflow, campaign or sales rep acts on it. SVP of Marketing Nida Mohsin framed the core question. Most teams invest heavily in generating, enriching and activating data. The underlying issue remains whether that data can actually be trusted and acted on. Form Guard qualifies what happens before a lead enters the system. Data Pulse continues the work once contacts reach the CRM. Together they give marketing, sales and RevOps better control over the data powering the GTM engine. The company is trusted by more than 100,000 businesses. It carries GDPR, SOC 2 and ISO 27001:2022 practices. The wider platform still covers email verification, phone validation, Email Finder, APIs, CRM integrations, prospecting and bulk workflows.

The commercial loop is now continuous rather than periodic. Qualification sits between capture and activation. Bad records are stopped or flagged before they poison automated sequences. Catch-all and phone grey areas become more actionable. Abandoned form data can be recovered instead of lost. Teams no longer wait for the next cleanup cycle. The practical step is direct. Turn on Form Guard on the highest-volume landing pages. Enable Data Pulse on the CRM accounts that feed the most campaigns. Measure the drop in invalid records that reach sales sequences. That is the only metric that shows whether the upstream layer is working.

Author bio: James Vance, senior commentator for international technology weeklies who has covered data quality, CRM infrastructure and go-to-market automation for more than a decade.

source https://newsroom.seaprwire.com/press-releases/technologies/bad-data-hits-automated-workflows-instantly-clearout-moves-qualification-upstream/

Most Job Seekers Still Spray Applications. Placify’s Engine Tries to Stop the Waste

By: Robert Sterling – SeaPRwire – Job search still runs on volume for most people. Candidates fire off applications and hope something sticks. Recruiters drown in noise. The real gap sits between the moment a role opens and the moment a relevant candidate even sees it. Placify Solutions is trying to close that gap with a monitoring system it calls the Job Alert Engine. The claim is simple. Find the right openings closer to the time they appear. Then let humans decide the next move.

Placify Solutions LLC is a Wyoming-registered company. It supplies career-support services to professionals looking for work in the United States and globally. The model combines candidate positioning, resume and LinkedIn development, structured job-search support, recruiter outreach, targeted opportunity monitoring, interview preparation and ongoing strategy review. Growth Officer Ansh R put the objective in plain terms. The goal is not simply to raise the number of applications. It is to understand where a candidate can compete, how the market should read their experience, and how the search itself can run in a more structured way. The Job Alert Engine sits at the center of that workflow. It is configured around each candidate’s target roles, industry, experience and location preferences. The system does not watch every employer. It watches publicly accessible sources that match the candidate’s strategy. Those sources include targeted startup career sites, selected employer career pages, major job boards, university and government job pages, and other hiring channels judged relevant. Priority employers can also be named as part of the plan. When a possible match appears, the opportunity is surfaced to the Placify team member supporting that candidate. Human review stays in the loop. The team looks at the job description, the candidate’s background, the target role, the resume version in play, location and other requirements. Any application or outreach decision is based on information the candidate provides or approves and is carried out only with the candidate’s authorization. The technology is meant to improve discovery, not to replace judgment.

Support begins with a review of education, professional history, technical skills, work authorization, preferred locations, target positions and longer-term direction. Different resume variants and role strategies can be built so existing experience is clearer to employers. Services can include resume and LinkedIn positioning, help with application execution, recruiter outreach, employer research, project-readiness guidance, mock interviews, behavioral preparation and technical interview preparation. Market feedback is reviewed throughout the engagement. If one set of roles starts drawing stronger recruiter responses, or one positioning approach looks more effective, the search plan can be adjusted instead of staying fixed. Placify describes the work as a continuous cycle of positioning, execution, feedback and adjustment. Responsibilities are kept separate. Placify can help with profile development, opportunity identification, search execution and interview preparation. Candidates stay responsible for providing accurate information, completing required assessments, taking part in agreed preparation, attending interviews and showing their qualifications directly to employers. The company states it does not control hiring decisions. It does not invent employment histories, send someone else to interviews or assessments, or give immigration or legal advice. Written program terms are supplied before enrollment. Those terms set out the services, candidate responsibilities and commercial conditions for that engagement. Duration, continuation, refund rules and other protections are governed by the written agreement. Candidates are encouraged to read the terms and ask questions before any financial commitment. As of September 2026 the company’s LinkedIn page has more than 5,600 followers, giving outsiders a public place to check updates and team activity.

The market will sort the serious operators from the rest. Services that keep responsibilities clear and keep human judgment in the decision loop will last. Those that push volume without structure will keep wasting time on both sides. The practical test is direct. Ask for the written terms first. Confirm that every application still needs your approval. Then watch whether the opportunities that surface actually match the roles you can compete for. That is the only measure that matters.

Author bio: Robert Sterling, veteran operator and investor with decades of experience building and scaling service businesses across recruitment and professional career markets.

source https://newsroom.seaprwire.com/press-releases/finance/most-job-seekers-still-spray-applications-placifys-engine-tries-to-stop-the-waste/

The Router Isn’t the Hard Part: Why Industrial 5G Still Trips on Legacy Gear and Silent Failovers

By: James Vance  – SeaPRwire – Most industrial connectivity projects start with the wrong question. Teams ask how fast the 5G radio is. They count Ethernet ports. They ignore the serial devices still running the plant and the cellular links that drop without warning. That mismatch is the real friction.

InHand Networks put the IR624 forward as a working example of how to close those gaps. The router is not presented as a universal fix. It is a concrete reference for five practical layers that decide whether field gear actually stays online and usable.

Start with the interfaces the plant already owns. Sites mix PLCs, meters, controllers and sensors from different decades. Some speak Ethernet. Others still run RS-232, RS-485 or Modbus RTU. Swapping every box just to reach the cloud adds cost and risk. The IR624 keeps those assets in place. It carries four Gigabit Ethernet ports, one RS-232 port and one RS-485 port. It supports TCP and UDP transparent transmission plus a Modbus RTU-to-TCP bridge. The design question is not whether the ports exist. It is whether the full data path has been tested with the real devices and the upstream application that will consume the data.

Cellular access is the next layer, and it is not the same as service continuity. 5G can deliver higher bandwidth and lower latency than older generations. Industrial sites still face variable signal, coverage holes, SIM problems, handovers, interference and upstream outages. For unattended locations the router must detect a failed or degraded path and execute a defined recovery. Dual-SIM failover, cellular-to-wired backup, heartbeat detection with automatic redial and an embedded watchdog are the tools listed for the IR624. These mechanisms improve resilience. They do not guarantee uninterrupted service. Recovery thresholds and failover behavior still need testing against the application’s tolerance for delay and packet loss.

Remote access has to be bounded before the first unit ships. Once operational equipment sits on a wide-area link, exposure changes. Engineers, cloud services and supervisory systems may need entry, yet only the required users, services and traffic flows should be allowed. The IR624 supplies firewall filtering, access-control lists, policy-based routing, 802.1X and VPN options that include IPsec, L2TP, OpenVPN and WireGuard. Those features form a toolbox, not a finished security architecture. The organization still owns the risk assessment, the segmentation model and the policies that decide what is permitted.

Fleet operations demand more than a successful pilot. A configuration process that works for one router rarely scales to dozens or hundreds of sites. Consistent configuration, status visibility, alerts, logs, firmware control and repeatable troubleshooting become mandatory. The IR624 can link to InHand DeviceLive for remote and batch management. Cloud management is not a convenience add-on. It is part of the operating model for distributed infrastructure. Its value appears only when monitoring, change control and incident response are already embedded in existing processes.

Physical and lifecycle realities close the list. Network functions matter only if the hardware survives the installation environment. Input power, grounding, temperature, humidity, vibration, electromagnetic compatibility, enclosure protection, antenna placement and mounting space all need evaluation. The IR624 uses a fanless metal case, DIN-rail mounting and a 9-to-48 VDC input. Published ratings include IP30 protection and operating-temperature options that vary by configuration. IP30 offers no outdoor weather protection, so exposed sites require an additional enclosure and a site-specific environmental review. Carrier compatibility, regional certifications, firmware policy, spare units and the service life of connected equipment also shape whether a pilot can move into sustained production.

These five layers form a single path from field device to cloud. Field devices connect through Ethernet or serial interfaces. Edge adaptation moves selected legacy data into IP systems via transparent transmission or protocol conversion. Wide-area access supplies cellular and wired links plus SIM strategy and failover rules. Secure connection limits and protects traffic with VPNs, firewalls, access controls, routing and authentication. Operations covers monitoring, alerts, logs, configuration and firmware across the installed base. Viewing the system this way clarifies responsibility boundaries and test points. It also stops teams from treating the router as an isolated box whose behavior somehow leaves field equipment, carrier services, security controls and business applications untouched.

Before any industrial 5G router is selected or deployed, five concrete questions remain useful. Which physical interfaces and protocols does the installed equipment actually use? What outage duration can the application tolerate, and how will failover be tested? Which users and services require remote access, and what traffic must be denied? How will configurations, firmware, alerts and logs be managed across the entire fleet? Does the chosen hardware match the site’s power, temperature, enclosure and compliance requirements? Those questions move the conversation from feature checklists to end-to-end engineering review. A device such as the IR624 can combine several of the required functions in one unit. Successful deployment still rests on system design, validation and operational discipline.

The practical takeaway is straightforward. Treat the router as one component inside a larger, tested path rather than as the solution itself. Validate every interface, recovery rule and management process against the real plant and the real application. That is the only way the link stays useful after the pilot ends.

Author bio: James Vance, senior commentator for international technology weeklies who has covered industrial networking and edge systems for more than fifteen years.

source https://newsroom.seaprwire.com/press-releases/technologies/the-router-isnt-the-hard-part-why-industrial-5g-still-trips-on-legacy-gear-and-silent-failovers/

Irish Firm Puts the Retirement Checklist on the Table – No Magic, Just Homework

By: Logan Pierce – SeaPRwire – Most people put off the retirement conversation until the numbers feel urgent. LifePlan Investments just published a plain list of steps and invited clients to start there. The firm has been in Ireland since 1990. It works with people still working and those already retired. The message is simple. Begin with the life you want, then match the money to it. No complex product push in the opening lines.

Official guidance runs through familiar ground. Describe a typical week after work ends. Family time, travel, hobbies, volunteering or a slower exit from the job. Turn that picture into priorities. Build a household budget from housing, utilities, food and transport. Add healthcare, debt repayments, annual costs and larger occasional spends. Separate must-pay items from flexible ones. The CCPC retirement guidance is cited for estimating the income needed and checking actual bank statements instead of guesses. Work costs may drop. Leisure or home spending may rise. Collect every pension statement. Note provider contacts. Ask about unclear figures. Treat projected numbers as estimates based on assumptions the provider can explain. Check when each pot becomes payable. Establish State Pension entitlement and application rules. Compare expected income against planned spending. Any gap becomes the topic for a focused talk on priorities and timing. Allow for change. An unexpected repair, health shift or family need can alter the numbers. Keep some money easy to reach. Couples should talk expectations out loud. One may want long travel while the other stays near family. An agreed everyday picture gives the money talk a shared purpose. Review the plan each year and after any big life change. People already retired can use the same method with real experience instead of projections.

Commercial intent sits underneath the checklist. LifePlan is not tied to one bank, asset manager or investment house. Clients can look across providers. Discussions cover time horizon, access to cash, charges and risk alongside personal goals. An initial call can start with a few clear questions. Understanding income. Plans for existing savings. Review of arrangements left untouched for years. Much of the work happens by telephone. Offices sit in Limerick and at 77 Sir John Rogerson’s Quay in Dublin. Visits are by appointment. Enquiries from elsewhere in Europe are considered case by case. The firm places personal conversations at the centre. It helps clients link savings, pensions and investment priorities to the life they actually want. For a lump sum, extra income or longer-term planning, the service explores options and shows how they fit a wider plan. The press release ends with a direct invitation to email or visit the website for a consultation.

Local advice markets rarely reward firms that stay independent and still make the first step feel manageable. LifePlan is testing whether a clear checklist and phone access can pull people into the conversation before the numbers turn urgent. Practical next move is simple. Anyone reading the list can pull last month’s bank statements and one pension letter this week. That single action turns the general advice into a personal starting point.

Author bio: Logan Pierce, veteran operator and investor who has spent decades building and backing service businesses across Europe and beyond.

source https://newsroom.seaprwire.com/press-releases/finance/irish-firm-puts-the-retirement-checklist-on-the-table-no-magic-just-homework/

Latin American Credit Hits the Token Pipe – EX.IO and Oria Just Opened the Valve

By: Logan Pierce – SeaPRwire – Most emerging-market credit stays locked behind local banks and opaque funds. EX.IO Group and Oria just announced a way to turn that credit into tokens that can travel. The deal is dated 18 September 2026 out of Mexico City. It targets Latin American consumer-finance assets. The claim is simple. Tokenise the paper. Route it through a licensed Hong Kong platform. Let eligible investors outside the region buy in. That is the entire pitch.

Official numbers are public. The International Finance Corporation puts the MSME financing gap in emerging markets at USD 5.7 trillion. Private-credit yields there sit 150 to 300 basis points above developed-market levels. Latin American high-yield corporates show net debt-to-EBITDA around 2.8 times and interest coverage of 5.4 times. The US high-yield book sits near 5.5 times leverage and 4.5 times coverage. Oria brings the asset side. Its consumer-finance engine has a decade of origination, pricing and risk work. Cumulative disbursements already hit USD 2 billion. Platform assets under management reached nearly USD 3 million inside the first month. EX.IO Group brings the token rail. It already runs live mainnet RWA products, including EXCB-25, the first tokenised convertible promissory note. Its Hong Kong-licensed EX.IO platform lists more than thirty tokenised products. September 2026 sales of those products rose 200 percent year-on-year. Related trading volume jumped 800 percent. The two sides will source Latin American credit through Oria, then issue, offer, distribute and custody the tokens through EX.IO’s stack.

Commercial intent sits in the pilot already finished. Oria completed institutional onboarding on the EX.IO platform. It executed a first subscription to a tokenised product using USD stablecoins. That single trade ran the full path: stablecoin in, conversion on a licensed venue, subscription to the token. Oria also plans to buy selected existing RWA products from the EX.IO shelf for its own book. The partnership therefore runs both directions. Fresh Latin American credit moves outward as tokens. Existing tokens move inward to Oria’s investors. Danny Xu, Oria’s chief executive, calls it a two-way channel for assets and capital. Toya Zhang, deputy chief executive of EX.IO Group, frames it as bringing hard-to-reach emerging-market credit into Asia’s compliant digital infrastructure. Each side keeps its lane. EX.IO handles issuance. The licensed platform handles offering and custody. Oria extends distribution into its network. No new capital raise is announced. No joint venture vehicle is named. The work is incremental expansion of rails already in production.

Local credit markets rarely open clean cross-border pipes. This one tries. The practical test is volume. Watch whether the next tokens clear and settle at scale. Watch whether the Hong Kong licence keeps every step inside the regulated perimeter. Until those numbers appear the partnership remains a working prototype with a clear map. Operators who can keep the map honest will set the pace.

Author bio: Logan Pierce, veteran operator and investor who has spent decades building and backing physical and digital service businesses across multiple markets.

source https://newsroom.seaprwire.com/press-releases/finance/latin-american-credit-hits-the-token-pipe-ex-io-and-oria-just-opened-the-valve/

Linz Beauty Studio Doubles Down on Training While Clients Still Book the Chair

By: Robert Sterling – SeaPRwire – Most beauty shops in secondary European cities talk a good game about “full-service” while quietly outsourcing the hard skills. Starlife Beauty in Linz just put the opposite claim on the table. They run the treatments and the classrooms under the same roof at Freistädterstraße 25. That combination is rarer than the press release makes it sound. Clients walk in for permanent make-up or nail work. Students walk in for the exact same techniques, taught one-on-one. The overlap is deliberate. It keeps the instructors current and the service menu honest.

Official announcement lists permanent make-up as a core pillar. Consultations cover form, color and technique before any pigment goes in. The menu includes Powder Brows, classic microblading, lip contouring and shading, lash-line enhancement, eyeliner, camouflage, areola pigmentation and scalp pigmentation. Nail design, eyelash extensions and hair extensions sit alongside. Training tracks mirror the service list: permanent make-up, microblading, eyelash extensions, nail modeling, hair extensions. Courses are described as intensive individual sessions that mix theory with supervised practice. Topics include hygiene, materials, application methods, client consultation and workplace habits. Nail training specifically covers skin and nail knowledge, gel and acrylic systems, tips and forms, filing, refills, manicure, hand care and tool handling. Everything stays inside one address in Linz. Appointments by arrangement. Website carries both service pages and course details.

Commercial reality behind the list is simpler. A studio that only sells treatments eventually hits a ceiling on chair time. Adding structured training creates a second revenue stream that does not compete for the same hour. Students pay for instruction. The same instructors keep their hands in daily client work, so the methods stay market-tested. Clients get a wider menu without the studio needing separate specialists for every niche. The dual model also functions as soft recruitment. A student who finishes a microblading course already knows the studio’s standards and product choices. Some will stay as freelancers or part-time operators. Others will open their own chairs elsewhere and still refer complex cases back. None of this requires new capital announcements or partnership deals. It only requires keeping the training schedule tight and the service quality consistent enough that students do not walk out embarrassed.

Local beauty markets rarely reward pure ambition. They reward operators who can fill both the appointment book and the training calendar without diluting either. Starlife Beauty is testing that balance in Linz right now. The next practical move is simple: publish clear completion rates and post-course placement numbers so prospective students can judge the claim against results, not just course outlines.

Author bio: Robert Sterling, veteran operator and investor who has spent decades building and backing physical service businesses across Europe and North America.

source https://newsroom.seaprwire.com/press-releases/finance/linz-beauty-studio-doubles-down-on-training-while-clients-still-book-the-chair/

Agentic AI Pilots Look Great—Until You Try to Run Them in Production

By: Alex Mercer – SeaPRwire – Tamar Toledano just named the problem most teams already feel. Agentic AI works in the pilot. It often fails when the same system hits real infrastructure. The gap is no longer about whether the model can complete a task. It is about whether the agent can run every day inside messy business systems and still show measurable value. That is the point she is driving.

 

Official statements from the Silicon Valley release lay out the mechanics. Agentic systems differ from earlier AI because they take action. They pull changing information, decide, start workflows, and adjust based on results. A controlled demo can look strong. Production adds data issues, infrastructure friction, security limits, governance rules, monitoring needs, integration work and accountability questions that pilots rarely surface. Toledano said an AI system can perform well in a pilot and still hit major problems once it enters a live business environment. The supporting framework must be built separately from the experiment itself. Integration is one hard layer. Most companies run a mix of legacy platforms, cloud apps, proprietary databases and third-party tools. An agent that works in isolation can stall when it has to cross those boundaries. Production requires work on APIs, data pipelines, permissions, system architecture and workflow design. Data quality is another. Autonomous systems need accurate, structured information. Inconsistent, outdated or poorly governed data can break the logic even when the model is sophisticated. Security and governance tighten once the system can act. Companies need access limits, authorization boundaries, activity monitoring and clear intervention paths, especially when the agent touches financial, customer or operational processes.

Measurement closes the loop. Organizations should set performance indicators before they scale. Those markers can include operating costs, processing times, error rates, employee productivity or customer outcomes tied directly to the business goal. Toledano put it plainly. Scaling AI is not about installing the most advanced system. It is about building something reliable, measurable, governable and economically useful in the actual environment. The pilot-to-production gap will matter more as companies chase larger agentic applications. Treating the move as an operational transformation rather than a software install positions teams better. The technology will keep advancing. Success still depends on infrastructure, processes, controls and organizational capacity.

The differentiator is now clear. Companies that only show demos will stay in the pilot lane. Companies that build the full operating layer around the agent will convert the same technology into sustained value. Readiness criteria before production is the practical next step.

Author bio: Alex Mercer, a Silicon Valley technical director and geek analyst who tracks agentic systems and the practical barriers between AI experiments and production scale.

source https://newsroom.seaprwire.com/press-releases/technologies/agentic-ai-pilots-look-great-until-you-try-to-run-them-in-production/

Independent Grocers Just Got Their Own AI Layer—And the Data Stays Home

By: Alex Mercer – SeaPRwire – Breez AI just dropped the old name. Today it is EVERYAISLE. The move is not cosmetic. It marks a clear bet that independent and regional grocers can run full AI personalization without handing the customer over to someone else. The company now pushes a connected platform that covers the inbox, conversational shopping and a smart digital storefront. All of it sits under the retailer’s own brand. The customer relationship and the first-party data stay with the grocer. That is the core claim.

Official language from the Tampa announcement sets the boundaries. EVERYAISLE operates as an AI-native layer across loyalty programs, digital circulars, retail media, e-commerce and email. It can run standalone or as an overlay on existing systems. Grocers keep full ownership of shopper data. CEO Tal Zlotnitsky put it straight: independents should not have to surrender the customer relationship to join the AI future. Chairman David Smith, former president and CEO of Associated Wholesale Grocers, added that independents already know their communities better than anyone. The platform simply extends that knowledge online. CTO Louis Bardov noted the original meal-planning tool proved demand exists far beyond recipes. These statements are public. The subtext is sharper. The platform refuses to serve national chains or compete against its own customers. It is built only for the independent channel.

The product set and the numbers sit in the same release. AI Meal Planner runs as a white-label chat inside the retailer’s site. Shoppers get recipes matched to budget, diet or lifestyle, see coupons, and drop ingredients into the basket. AI Picks to Inbox sends proactive emails based on purchase history and preferences. Smart Store, due in October, turns the digital storefront into a personalized experience with restock reminders, trending items and Chat & Click. Chat & Click itself is available now as a standalone module that plugs into existing inventory and fulfillment. The measured results focus on the Meal Planner cohort. Those shoppers posted a 13.5 percent year-over-year rise in basket size while non-users saw a 2.9 percent drop. They completed 46.7 percent more transactions and carried baskets 54.3 percent larger. Email open rates hit 44.5 percent among Meal Planners versus an overall 26.5 percent. Conversion on recommended products reached 30.2 percent for that group. Lapsed shoppers who engaged with the emails visited stores at a 4.1 percent rate inside seven days, a 57.7 percent lift. Active engaged loyalty members spent 9.1 percent more and returned within a week at higher rates, climbing to 27.5 percent among Meal Planner users. The platform already covers hundreds of stores under nearly 100 independent brands. A recent capital raise is intended to fund the next wave of features.

The retail tech map just shifted for the independents. EVERYAISLE gives them white-label tools that match or exceed the digital reach of the big national players while leaving the data and the relationship where they started. The numbers on basket growth and win-back are the proof points already on the table. The next move belongs to the grocers who decide how far to push the layer.

Author bio: Alex Mercer, a Silicon Valley technical director and geek analyst who tracks AI infrastructure and retail technology platforms for independent operators.

source https://newsroom.seaprwire.com/press-releases/technologies/independent-grocers-just-got-their-own-ai-layer-and-the-data-stays-home/

Industrial Plants Are Drowning in Condition Data — Lumicent Turns It Into Ranked Decisions

By: James Vance – SeaPRwire – Industrial sites already collect more condition data than they can use. Sensors, inspections, SCADA, EAM and CMMS systems generate constant alerts. The missing piece is ranking. Which signal actually threatens production, safety or the balance sheet? Lumicent just launched a Decision Intelligence platform built to answer that question before the loss arrives. The company, formerly CoGo, now positions itself as the decision layer for physical risk.

The platform connects continuous asset-condition data with Physical AI and consequence-based scoring. It evaluates potential impact across six dimensions: operations, safety, financial, regulatory compliance, environmental and reputational. The same physical defect on a redundant low-impact asset may only need observation. The identical defect on a single point of failure can demand immediate action. Lumicent sits above existing systems rather than replacing them. It does not touch industrial control infrastructure. Agentic workflows help coordinate approved responses across people and processes while keeping human judgment in the loop. Priorities remain traceable to the underlying data so operations, engineering, risk, finance and executives share the same basis. Depending on environment and use case, deployments can support 30 to 50 percent reductions in unplanned downtime and up to 90 percent reductions in manual inspection requirements. The MA1 and AG condition-monitoring products carry FM Approval. Andy Pruett, co-founder and CEO, stated the core problem directly. Industry does not have a data problem. It has a decision problem. Warning signs often exist somewhere in the organization yet never become clear or urgent enough to change the outcome. David Hess, director of manufacturing supply chain at USA Rare Earth, said the platform helps identify issues before they disrupt commissioning or production and focuses people where impact is greatest. Natural-catastrophe insured losses reached an estimated 107 billion dollars worldwide in 2025, the sixth consecutive year above 100 billion dollars, according to Swiss Re Institute figures cited in the release. The company was founded in Vancouver in 2020 as CoGo and is available now at lumicent.com.

The closed loop is the shift from detection to ranked action. More alerts without consequence context simply add noise. Teams that continue treating every condition signal as equal will keep reacting after the downtime or loss has already occurred. Teams that map asset criticality, apply the six-dimension scoring and act on the highest-consequence items first will direct scarce maintenance resources more precisely. Start with the single points of failure that carry the largest operational or safety exposure, feed their condition data into the platform, and measure the change in unplanned events after the first prioritization cycle. That is the practical next step.

Author bio: James Vance, senior commentator for international technology weeklies who has covered industrial operations software and physical-risk platforms for more than a decade.

source https://newsroom.seaprwire.com/press-releases/technologies/industrial-plants-are-drowning-in-condition-data-lumicent-turns-it-into-ranked-decisions/

Trump Called Jensen Huang Live — And Called the AI Slowdown a Scam

By: Gavin Thorne – SeaPRwire – Trump dialed Jensen Huang on stage at the All-In Summit in Los Angeles on 14 September. He demanded the call go on speaker. Huang fumbled with the phone. Trump joked that the man who builds the world’s most complex chips could not put him on speakerphone. The room laughed. Then the real message arrived. Trump told the audience that worries about AI are a scam. Data centers are good. They will enrich people and states. They will be the oil of the next twenty to twenty-five years, or more important. He claimed common-sense understanding of AI. Robots will not take over. AI will not take over the world. The whole thing is a scam, though care is still required. Whoever wins AI wins. The United States must not stop. Applause followed. Huang praised the performance.

Two clear camps now exist inside the United States. One side, represented by Trump and Huang, wants full-speed development and massive data-center build-out. Trump needs the political credit of leading the race. Huang needs the commercial volume that comes from continued expansion. The other side includes Anthropic’s Dario Amodei, OpenAI’s Sam Altman, Elon Musk and certain politicians. They argue for regulation and a deliberate slowdown, warning that unchecked AI could destroy humanity. Both groups claim expertise. The first group includes a chip CEO and a president who says he understands the technology. The second group includes the very executives who previously raced ahead and now call for brakes. The text notes that AI risk is a global consensus, yet the fight is over who writes the rules and how they are applied. One reading, cited from a CNN piece, is that the slowdown camp seeks time for the American industry while also creating leverage for negotiations with China on global standards. Trump’s counter is blunt. Stopping would kill the golden goose of data-center investment. The only party that would welcome the pause, he has said, is China. During a recent visit to Ireland he repeated that the United States leads China in AI and must keep the lead. Guardrails are possible, but the only real guardrail he trusts is a strong and intelligent president.

Chinese official language, delivered by the foreign ministry spokesman on 15 September, rejects the threat narrative. Artificial intelligence should be open, inclusive, beneficial and oriented toward the good of humanity. Spreading threat stories and pursuing confrontation only disrupts global governance. The same day a French reporter asked about the US Space Force claim that the United States has already deployed weapons in space. Beijing replied that it opposes the weaponization of outer space and urged the United States to stop expanding military activity there. The text treats the space episode as an example of saying one thing while doing another. In the AI domain the same pattern is possible: public calls for restraint that do not slow domestic champions while constraining others. Trump closed the call with a personal story. His uncle, John G. Trump, taught at MIT for more than forty years and worked on high-voltage engineering and electrostatic accelerators. Huang immediately agreed that this explained the president’s grasp of AI. Historical records in the text note that the same uncle assisted Chinese physicist Zhao Zhongyao in 1946 with laboratory access and equipment.

The pendulum is not between safety and speed. It is between two methods of securing American advantage. One method accelerates hardware and infrastructure. The other method shapes rules and timelines. Both treat China as the reference competitor. Track the next formal regulatory proposal from Washington and the actual capital expenditure plans of the largest chip and cloud companies. Those two indicators will show which method is currently winning.

Author bio: Gavin Thorne, overseas geopolitical commentator who regularly publishes opinion pieces in major newspapers on technology competition and great-power rule-setting.

source https://newsroom.seaprwire.com/contributors/gavin-thorne/trump-called-jensen-huang-live-and-called-the-ai-slowdown-a-scam/

Houthis Took Perim Island in Nine Days — The Red Sea Map Just Changed

By: Marcus Sterling – SeaPRwire – Houthi forces just rewrote the map of the southern Red Sea. In nine days they seized 5,400 square kilometres. The haul includes the Hanish Islands, the Zubab area and Perim Island, the key military point inside the Bab el-Mandeb Strait. Government forces have suffered repeated defeats. The anti-Houthi coalition, despite Saudi and Emirati material support, is fractured by competing interests and the absence of unified command. That internal split is the immediate operational fact.

The text presents the advance as more than equipment or courage. It is framed as the product of regional security imbalance and governance collapse on the opposing side. Saudi Arabia’s reported request for American assistance was refused. The refusal is described as a calculated assessment of US strategic interests and risks under the Trump administration. External military patronage, long treated as a security guarantee by some Middle Eastern states, is shown here as less reliable. The cost of that dependence, the analysis argues, has been the steady erosion of local governing capacity. Control of the Bab el-Mandeb now sits with the Houthis. The strait is a primary energy and trade artery. With the Strait of Hormuz already unstable, it has served as a critical alternative export route for Saudi crude. Houthi control raises the prospect of disruption or blockade. Global shipping companies have begun pausing or diverting Red Sea sailings, choosing the longer Cape of Good Hope route. Each diversion raises time and cost that eventually reach final consumers through higher energy prices and supply-chain friction.

Chinese official language calls for restraint and a return to dialogue. Beijing stresses that military confrontation cannot resolve the underlying governance imbalance. As the world’s second-largest economy it prioritises trade-route security. The preferred path is ceasefire, political negotiation and diplomatic settlement rather than further escalation. The same voice rejects threat narratives and confrontational competition as obstacles to regional stability.

The pendulum has moved from intermittent coastal pressure to direct control of the strait’s key island. Any planner still treating the Bab el-Mandeb as an open and secure waterway is working from an outdated chart. Track the next confirmed shipping diversions and the volume of Saudi crude still moving through the strait. Those two indicators will show how quickly the new control translates into commercial impact.

Author bio: Marcus Sterling, overseas geopolitical commentator who regularly publishes opinion pieces in major newspapers on Red Sea chokepoints and Middle East power shifts.

source https://newsroom.seaprwire.com/contributors/marcus-sterling/houthis-took-perim-island-in-nine-days-the-red-sea-map-just-changed/

Hotel Owners Finally Get Procurement Software That Doesn’t Take Weeks to Set Up

By: Logan Pierce – SeaPRwire – Independent hotel owners have long faced a simple problem. Procurement platforms built for large chains demand weeks of setup, training and change management. Most owners skip them. They keep buying the old way and leave negotiated savings on the table. AAHOA, Folio and Avendra International just launched a Marketplace that removes that barrier. Eligible members get free access. Setup takes minutes, not months. That is the practical change.

The official launch is clear. The new AAHOA Marketplace is powered by Folio technology and remains free for eligible AAHOA members. It gives hotel operators a centralized catalog, a unified cart, a single place to track and manage orders, and AI-powered auto-coding at the point of purchase. The platform is optimized for mobile use so owners can manage purchasing on the go. New sign-ups can connect up to five of their existing top suppliers, place a first order, and begin onboarding in a few clicks. Kate Adamson, CEO of Folio, stated the goal when the partnership was announced in April: bring modern procurement technology to a broader segment of the hotel industry. She noted that new technology must be fast and intuitive or users move on. Faster setups mean owners can start shopping for their hotel in minutes. AAHOA Chairman Rahul Patel called the launch a practical member benefit that combines negotiated savings with technology that streamlines operations and controls costs. Laura Lee Blake, President and CEO of AAHOA, said the experience combines purchasing power with ease of use so members can access savings and tools built around how hotel owners actually operate. Members create an account at AAHOAmarketplace.com.

Commercial intent sits next to those facts. Large hotel groups can still receive white-glove implementation and full configurability. The self-service path was built for independent owners and operators who manage one or several properties. Those owners previously faced platforms designed for complex organizations. The new Marketplace eliminates much of the traditional implementation burden while still delivering Avendra’s negotiated cost savings and supplier network. The collective buying power of AAHOA members is now paired with software that does not require a long project team. That pairing is the real product.

The cost of slow software adoption keeps rising with every manual order. Owners who continue buying outside a unified system will keep missing the negotiated rates. The ones who complete the minutes-long signup, connect their key suppliers, and place the first order will start capturing the savings immediately. Go to the Marketplace site, connect five suppliers, and run the first order this week. That is the only test that matters.

Author bio: Logan Pierce, long-time operator and investor who has spent decades building and scaling physical hospitality and service businesses from the property level up.

source https://newsroom.seaprwire.com/press-releases/finance/hotel-owners-finally-get-procurement-software-that-doesnt-take-weeks-to-set-up/

AI Agents Can Now Trade on MT5 — But ProreX Keeps the Decision With the Client

By: James Vance – SeaPRwire – Generic AI on a trading platform is no longer enough. An agent that only sees the same market feed every broker offers still leaves a gap between research and action. ProreX Limited just closed that gap for its MetaTrader 5 clients. The broker exposed its own screener, Smart Score, trade ideas and market data through a dedicated MCP server. The agent can reason with ProreX tools and MT5 live data in one flow. Every trade still waits for the client’s manual confirmation by default. That combination is the actual shift.

After MetaTrader 5 Build 6060 added native Model Context Protocol and agentic AI, ProreX went further than the platform default. Clients can run the built-in AI Assistant inside the terminal or MetaEditor. It defaults to the free MQL5.community provider. Users can switch to their own API keys for OpenAI, Anthropic, Gemini, DeepSeek or Ollama. They can also connect external MCP-compatible agents such as OpenAI Codex or Claude Code through the platform’s built-in MCP server. ProreX then adds its own MCP endpoint. A client simply adds the new server in the terminal’s MCP settings. From that moment a single agent can call ProreX’s screener and Smart Score to rank instruments, pull current trade ideas with their rationale, and load relevant market news and the economic calendar. The same agent can then open the live MT5 chart and prepare an entry. The full chain runs from one instruction. Trading permission stays under client control. The three explicit modes are disabled for pure analysis, manual confirmation as the ProreX default, and enabled only if the client opts in. Network access is limited to GET requests by default. Dangerous shell operations remain off. External agents authenticate with a regenerable API key. Optional Investor password sessions can further lock a research agent to read-only. Theodore Presley, Head of Product, stated the difference plainly. Native AI on MT5 is available to every broker’s clients. ProreX’s MCP plugs its own research into the agent so the reasoning uses ProreX tools before any action on MetaTrader 5. The agent proposes. The client decides.

The closed loop is deliberate. Roadmap items still in development include backtesting against historical data, trade-journal behavioural diagnostics that flag patterns such as overtrading, and deeper mandate-governed automation inside client-set limits. None of those are live yet. What is live is the research-to-proposal chain under manual confirmation. Clients who treat the agent as an unsupervised executor will carry the extra risks the disclosure already lists: misinterpretation of instructions, incomplete data, unexpected behaviour. Clients who keep the default confirmation setting and review every proposal keep the account and the decision. Check the MCP settings, add the ProreX server, and leave trading on manual confirmation. That is the practical starting configuration.

Author bio: James Vance, senior commentator for international technology weeklies who has covered trading-platform infrastructure and agentic AI controls for more than a decade.

source https://newsroom.seaprwire.com/press-releases/technologies/ai-agents-can-now-trade-on-mt5-but-prorex-keeps-the-decision-with-the-client/