Press Releases

Des Moines personal injury attorney warns crashes may get more severe.

DES MOINES, US — September 10, 2026 — As of July 1, 2026, Iowa’s default speed limit on two-lane highways rose from 55 to 60 miles per hour under Senate File 378, signed by Governor Kim Reynolds. Des Moines personal injury attorney Ward A. (Sam) Rouse says the change, popular with many rural drivers, raises real questions about crash severity that Iowans should understand before they end up in an accident.

A Change Rural Iowa Asked For, Over Safety Objections

Lawmakers passed SF 378 after years of requests from rural constituents, clearing the Iowa House 76-16. But the bill wasn’t without opposition: the State Police Officers Council formally opposed it, citing higher rates of serious injury and death at increased speeds, and one state representative estimated the change could cause roughly six additional traffic deaths per year in Iowa. That concern lines up with independent research: a study by the Insurance Institute for Highway Safety found a 5 mph limit increase is associated with an 8.5 percent rise in highway fatality rates, and a 2.8 percent increase on other roads. Supporters of the bill, including House Speaker Pat Grassley, argued that modern vehicle safety features have made the change reasonable for rural Iowa drivers.

“A 5 mph increase doesn’t sound like much until you’re the one calculating stopping distance and impact force after a crash,” said car accident lawyer Sam Rouse, founder of Rouse Law, P.C. “The physics don’t care how popular a law is. Higher speeds mean less time to react and harder impacts when something goes wrong.”

What Stays the Same

The new law only affects two-lane highways; interstate limits remain 70 mph, and the 25 mph limit in residential and school zones is untouched. Iowa also kept a leniency provision: a driver’s first two citations within a 12-month period for going up to 5 mph over the new 60 mph limit on a two-lane highway will not affect their driving record or insurance rates.

What to Do After a Crash on a Higher-Speed Highway

Des Moines car accident attorney Sam Rouse said the practical impact is that evidence preservation matters more than before. Higher-speed collisions often produce more severe injuries, higher medical costs, and more contested liability disputes, with adjusters looking to minimize payouts before the full extent of an injury is even known. He recommends documenting the scene with photos, obtaining the police report, seeking prompt medical evaluation, and consulting an injury lawyer before giving a recorded statement to an insurer.

Rouse Law, P.C. represents injured clients throughout Des Moines, West Des Moines, and across Iowa in car accident, truck accident, motorcycle accident, and wrongful death cases, and charges no fees unless the firm secures a settlement or verdict on the client’s behalf.

About Rouse Law, P.C.

Rouse Law, P.C. is a West Des Moines, Iowa law firm founded by Des Moines personal injury lawyer Ward A. (Sam) Rouse in the mid-1990s. Sam Rouse is rated by Super Lawyers and holds an AV Preeminent rating from Martindale-Hubbell, the highest peer-review rating an attorney can receive, reserved for those recognized by fellow lawyers for the highest level of legal ability and ethical standards. The firm represents clients throughout the Des Moines area in personal injury cases, including car, truck, and motorcycle accidents, catastrophic injuries, wrongful death, and dog bites. Rouse Law, P.C. offers free consultations and charges no fees unless it secures a settlement or verdict.

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Media Contact:
Name: Sam Rouse
Company: Rouse Law, P.C.
Email: wardrouse@rouselaw.us
Phone: (515) 223-9000
Address: 4940 Pleasant St, West Des Moines, IA 50266
Website: https://rouselaw.us/

Viacon launches a specialized digital growth program for law firms, helping them attract more qualified leads, strengthen their online presence, and drive client acquisition in 2026.

KOLKATA, IN — September 10, 2026 — Viacon has launched a specialized digital growth program for law firms and legal practices that want to strengthen online visibility, attract more relevant inquiries, and build lasting client relationships in 2026. 

The program reflects Viacon’s established position as a digital and MarTech solutions agency offering web development, organic SEO, paid media, content marketing, conversion optimization, and business growth support. It adapts those capabilities to the distinct trust, communication, and acquisition requirements of legal services.

Moving Beyond Disconnected Marketing Activity

For many firms, the problem is not a complete lack of digital activity. The problem is that search, content, the website, outreach, reviews, and lead follow-up often operate separately. 

A technically sound website may still produce weak inquiries if its practice-area pages do not match client intent. Strong content may also underperform when visitors face unclear navigation or a difficult contact process. Viacon’s program treats these issues as connected parts of one client journey.

Core Areas of the Program

The program follows the service capabilities Viacon currently presents for law firms and legal practices. Work begins with the firm’s practice areas, target clients, current visibility, website experience, communication process, and growth objectives. 

Viacon can then shape the engagement around what matters most, rather than applying the same campaign structure to every legal business. The areas are:

• Online visibility through search strategies aligned with legal services and active client demand.

• LinkedIn outreach and thought leadership for professional audiences and decision-makers.

• Content, website experience, client communication, and online reputation management working as one system.

Focused on Relevance, Authority, and Inquiry Quality

The approach is also consistent with Viacon’s published work in the legal sector. Assisting a legal client, the agency identified: 

• Misaligned keyword targeting

• Irrelevant organic traffic

• Technical SEO limitations 

The agency rebuilt the strategy around technical optimization, legal search intent, and topical authority. That experience gives the new program a practical foundation. Visibility matters, but visibility without relevance can waste time and leave intake teams handling inquiries that don’t fit the firm’s services.

A More Accountable Route to Client Acquisition

Under the program, law firms can connect discovery with credibility and conversion. Search visibility helps prospective clients find the firm, while articles, case studies, and educational content demonstrate useful knowledge. 

A professional, responsive website directs visitors towards an appropriate next step. Structured email communication and follow-up help firms nurture genuine interest, and reputation management supports public trust. 

Looking Ahead with Viacon

Viacon’s specialized digital growth program is intended for law firms, legal consultancies, and focused practices seeking a more coordinated route to growth in 2026. It does not reduce client acquisition to traffic volume or isolated campaign metrics. 

Instead, it brings together visibility, thought leadership, website experience, communication, and reputation around a clear commercial purpose. The purpose is to help legal practices attract suitable prospects and turn digital attention into stronger client relationships.

About Viacon

Founded in 2018, Viacon describes itself as a full-service digital and MarTech solutions agency serving businesses across multiple industries and international markets. Its core capabilities cover web and application development, digital marketing, enterprise services, media production, and growth consulting. 

For legal-sector clients, Viacon focuses on tailored strategies that help practices build visibility, demonstrate authority, and develop stronger relationships with prospective and existing clients. Here you can share your digital growth aims with us, and rest assured that we will help you not only meet new clients but also build strong relationships with them.

Media Contact:
Name: Ejaz Ahmed
Company: Viacon
Email: priya.viacon@gmail.com
Phone: +919163234171
Address: Mani Casadona, 10W3 West Tower, 11F, 04 Street Number 372, Action Area I, New town West Bengal 700160
Website: https://viacon.io/

QGI Names Founder Dr. Sam Sammane Chief Executive Officer
Founder and architect of the company's deterministic AI platform takes the helm as QGI moves into commercial release across regulated industries.

QGI Names Founder Dr. Sam Sammane Chief Executive Officer

Founder and architect of the company’s deterministic AI platform takes the helm as QGI moves into commercial release across regulated industries.

San Diego, California — [09/09/2026] — Quantum General Intelligence, Inc. (QGI) today announced that its founder and Executive Chairman, Dr. Sam Sammane, has been appointed Chief Executive Officer, effective immediately. Dr. Sammane, who designed the company’s core technology, will continue to lead research and engineering alongside co-founder MhD Waseem Al Sammane, Chief Innovation Officer.

The appointment follows the departure of Dain Ehring, who has stepped down as Chief Executive Officer. The company thanks him for his contribution during its formation.

The problem QGI was built to solve

Generative AI has transformed how software is written, how documents are drafted and how information is retrieved. It has not transformed the industries that need it most — because in those industries, an answer that cannot be explained is an answer that cannot be used.

A lender must be able to show a regulator why a loan was approved or declined. A pharmaceutical manufacturer must be able to demonstrate to an inspector that every batch record was reviewed against the correct standard. A compliance officer must be able to reproduce, months later, exactly how a decision was reached. Probabilistic models that produce different outputs from the same inputs, and that cannot show their reasoning, fail these tests by design.

QGI was founded on a different premise: that AI can be deterministic — producing the same result from the same inputs every time — and explainable, with every step of reasoning open to inspection. Not as a constraint on capability, but as the foundation for deploying AI where the stakes are highest.

The technology

QGI’s platform combines neural and symbolic reasoning in a single architecture. Neural models handle perception, language and pattern recognition. A symbolic reasoning layer applies rules, constraints and formal logic, producing decisions that can be traced, audited and reproduced.

At the centre of the platform is QGI’s memory engine, built on a hypergraph architecture that integrates diverse data sources into a single, queryable structure. The engine allows the platform to hold context across sessions, connect information across documents and systems, and reason over structured and unstructured data together — with materially lower latency than conventional retrieval approaches.

The platform runs on QGI’s own proprietary models, including QGI Ultra, designed for transparency and reproducibility, and works alongside leading external models where customers prefer them. It exposes a full SDK, API and agent framework, so that customers and partners can build their own applications, agents and workflows on the platform rather than waiting for QGI to build them.

The result is a system in which AI can be given real responsibility in regulated environments: reviewing documents against rules, extracting and validating data, flagging exceptions, and producing outputs that stand up to audit.

The product portfolio

QGI is moving from development into commercial release across a set of products built on the same platform:

QGI Studio — a browser-based workspace that lets anyone build, test and run applications and agents on the platform with no installation and no infrastructure. Users sign in, describe what they need, and produce working applications in a session.

Deep GMP — a compliance and audit environment for FDA-regulated industries, supporting batch record review, inspection readiness and regulatory audit. Launched in partnership with an established FDA-inspection consultancy.

QGI Finance — an edition built for regulated lenders, servicers and compliance functions, supporting loan file review, pre-purchase audit, document validation and rules-based decisioning. In beta, with full release targeted for October.

Vertical applications — the platform allows industry-specific applications to be built and deployed in days rather than months. Further editions are in development for clinical trials, life sciences quality, and public-sector Private AI use.

Deployment — the platform is available as a hosted service and as a private, on-premises or air-gapped deployment for organizations with data-residency, sovereignty or security requirements.

Leadership

“I started this company because I believed AI could be held to a real standard of accountability, and that the industries which needed that most were being offered the least of it,” said Dr. Sammane. “We now have a platform that does what we set out to build. It gives the same answer every time, it shows its work, and it can be deployed where the data has to stay. My job as CEO is simple: ship it, put it in customers’ hands, and prove in production that explainable AI is not a compromise but an advantage.”

“Sam designed this architecture and he understands it more deeply than anyone,” said MhD Waseem Al Sammane, co-founder and Chief Innovation Officer. “We have spent the last year making the engine work. The next year is about making it matter to customers. Having the person who built the technology leading the company is exactly right for that stage.”

About Dr. Sam Sammane

Dr. Sammané is a three-time founder, scientist and technologist with more than two decades of experience building and scaling technology companies.

His background spans regulated industries: he has built software for FDA-regulated environments and led organizations through SOC 2 and ISO 27001 compliance, experience that directly informed QGI’s design.

He leads the company’s research, engineering and product direction, and is a frequent speaker on explainable and accountable AI.

About QGI

Quantum General Intelligence, Inc. builds deterministic, neuro-symbolic AI for regulated industries — environments where every decision must be explainable, auditable and reproducible. The company’s platform combines proprietary models, a hypergraph memory engine and a symbolic reasoning layer, exposed through a browser-based studio, an SDK and an agent framework. The platform is developed entirely in-house and is proprietary to the company.

QGI is headquartered in San Diego, California. © 2026 Quantum General Intelligence Inc. All rights reserved.

Media Contact:
Name: Sam Sammane
Company: Quantum General Intelligence Inc
Email: sam@qgi.dev
Website: https://www.qgi.dev/

Catchr has launched an MCP connector that brings live data from Google Ads, Meta Ads, GA4, Shopify, and 100+ other marketing platforms directly into Claude, ChatGPT, Gemini, and Copilot. Marketers can question campaign performance in plain language without exporting a single CSV.

GRENAY, FR — September 8, 2026 — Catchr.io, the marketing data platform used by agencies, e-commerce brands, freelancers, and in-house marketing teams, has announced a new way to access live marketing data directly from AI assistants, including Claude, ChatGPT, Gemini, and Copilot.

Marketers can now ask, “Why did CPA rise last week?” or “Which campaigns lost momentum?” and receive an answer grounded in current data from Meta Ads, Google Ads, GA4, HubSpot, Shopify, and more than 100 other sources, without first exporting a single CSV.

Catchr is now available as an official MCP connector in the Claude directory and as an app in the ChatGPT app store. Gemini, Copilot, and other MCP-compatible clients can connect through the public endpoint.

Installation takes just three steps: search for Catchr in the directory, install it, and authenticate their account.

A typical agency client runs paid media on two or three ad networks, tracks the site in GA4, manages leads in a CRM, and sells through an e-commerce platform. Each of those tools has its own export format, its own metric names, and its own refresh cadence.

Before an account manager can answer a simple question about performance, someone has to pull the numbers, reconcile them, and paste them into a sheet. Multiply that by every client and every reporting tool, and the export routine quietly eats a full working day each week.

AI assistants were supposed to fix this, but an assistant with no access to the data can only reason about numbers someone has already copied into the chat.

Catchr MCP closes that gap by putting the connected, refreshed data layer directly behind the assistant.

Catchr replaces the export routine with a single authenticated connection per platform. Once a source is connected, the same data flows to 20+ destinations including Looker Studio, Power BI, Tableau, Google Sheets, Excel, BigQuery, the Catchr API, and now AI assistants.

When a client asks for a new dashboard, a warehouse export, or an AI analysis, the team adds a destination instead of rebuilding the pipeline.

No code is required. Setup follows three steps:

1. Authentication happens once per platform, with the exact ad accounts, properties, or portals selected during setup.

2. Destinations come next: reporting tools, spreadsheets, warehouses, and AI assistants. Catchr reuses the connected sources for each one.

3. Everything runs from there. Reports open with current numbers, Claude and ChatGPT answer performance questions, and Catchr keeps every destination refreshed automatically.

Unified data fields normalize metric names across platforms, so “spend” or “conversions” mean the same thing whether the row came from TikTok Ads, LinkedIn Ads, or Pinterest Ads. That consistency is what makes a cross channel question answerable in one prompt.

Catchr is designed around marketing teams run every week:

Account managers open a current cross channel report, ask an AI assistant why performance changed, and turn the answer into priorities before the client call. A pre call check might surface that CPA increased because prospecting spend grew faster than conversion volume, along with the three campaigns that need review.

Freelancers connect a client’s stack once and work in the dashboards and spreadsheets they already know. Pacing checks, campaign reviews, monthly summaries, and margin calculations run on live data instead of Monday morning exports.

Data and operations teams manage sources, accounts, refresh schedules, and destinations from one place while account teams keep using whatever tool they prefer. The data layer is standardized without restricting the tools on top of it.

“Every report used to start with five exports and a morning of copy paste. Now it starts with the actual client work,” said Florian Cabirol, CEO at Catchr.

“Adding AI assistants as a destination was the obvious next step. The data is already connected and reliable. Letting people question it in plain language removes the last manual step between the numbers and the recommendation.”

Catchr connectors span paid media, web and app analytics, CRM, ecommerce, SEO, email, and organic social. Supported sources include Google Ads, Meta Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, Amazon Ads, Pinterest Ads, Snapchat Ads, X Ads, Spotify Ads, Google Analytics 4, Matomo, Google Search Console, Google Business Profile, YouTube Analytics, Instagram, TikTok Organic, LinkedIn Pages, Shopify, WooCommerce, HubSpot, Klaviyo, and Mailchimp.

Beyond data routing, Catchr’s Brand Hub gives teams a view of brand presence, including a GEO module for tracking how brands appear in AI generated answers. A free University section offers courses on Looker Studio, Google Sheets, and Power BI, and a template library covers paid media, SEO, web analytics, lead generation, email, social, and e-commerce reporting.

Catchr is used by agencies and brands including Tigrz Paris, Mojo, The Browz, Pickers, Axonaut, Ikom, AdsBack, and Digital Passengers.

Published case studies detail how Pickers, The Browz, and Axonaut moved client and internal reporting onto a single connected data layer.

Catchr MCP is available now to all Catchr customers. New users can start a 14 day free trial with no credit card required.

Teams can also book a live product demo at https://www.catchr.io/productdemo

Catchr connects 100+ marketing platforms to the reporting, spreadsheet, warehouse, and AI tools teams already use. It centralizes marketing data, keeps it automatically up to date, and lets agencies and brands report with confidence and uncover AI insights. Catchr is built for account managers, freelancers, and data teams who need the numbers ready before the meeting starts.

Media contact

Florian Cabirol
CEO, Catchr
Email: florian@catchr.io
Address: 127 Rue Jean Montagnon, Grenay, Auvergne-Rhône-Alpes 38540, France

Media Contact:
Name: Florian Cabirol
Company: Catchr
Email: florian@catchr.io
Address: 127 Rue Jean Montagnon, Grenay, Auvergne-Rhône-Alpes 38540, France
Website: https://www.catchr.io/

Penetrify, a Czech company building autonomous AI penetration testing, solved all 104 challenges in the XBOW benchmark (XBEN) with a black-box agent, achieving 100% across 26 vulnerability classes. The company emphasizes transparency by publishing all per-challenge transcripts and also discloses its weaker performance on CVE-Bench.

Brno, Czech Republic.

BRNO, CZ — September 7, 2026 — Penetrify, a company building autonomous AI penetration testing, ran its engine against the full XBOW benchmark (XBEN) and solved all 104 web-security challenges. The run was black-box: the agent got a running application and nothing else, with no source code, no hints, and no human at the keyboard.

Grading is deliberately hard to fake. Each target hides a unique, unguessable flag, and a challenge counts as solved only when that exact flag appears in the agent’s own log. Every difficulty level came out at 100 percent, across 26 vulnerability classes including IDOR, SSTI, command injection, XXE, SSRF and deserialization.

Penetrify is deliberate about not overselling the number. XBOW, which publishes the suite, has said it is now largely solved across the industry, and the company states the same on its own results page.

“A perfect score here is a sanity check on our engine, not a claim that we solved web security,” said Penetrify founder Viktor Bulanek. “What matters is what it costs, how it runs, and whether you can verify it.”

Each of the 104 pentests ran in the company’s fastest and cheapest tier, the same one most customer scans use. The engine averaged 9.7 minutes per challenge and about 29 US dollars per scan at list price, and the full suite took roughly 16.8 hours of compute.

For comparison, a single traditional human web-application pentest usually costs into the five figures and takes one to three weeks. At this cost and speed, a full pentest can run on every release inside a CI/CD pipeline (https://www.penetrify.cloud/en/ci-cd/) instead of once a quarter.

The transparency is the part Penetrify stresses most. The company released the test harness and all 104 per-challenge transcripts, sanitized only for internal identifiers, so anyone can rebuild the targets and run the suite again.

The company is also open about the caveats. Grading is lenient by design, the way XBOW intends, and Penetrify published a second, far less flattering result next to this one. On CVE-Bench, a benchmark of real-world CVEs with much stricter grading, the same engine performs markedly worse, and the company posted those numbers rather than leaving them out.

“Any vendor can show you a green benchmark,” Bulanek said. “Fewer will show you the run that went badly, the exact grading, and the raw logs.”

Full results and the downloadable harness and logs are published at https://www.penetrify.cloud/en/benchmark, with a longer write-up on the company blog.

About Penetrify

Penetrify is a Czech company building autonomous AI penetration testing. Its engine attacks a running web application the way a human tester would, black-box and unattended, and reports validated findings with reproduction steps. Tests run in minutes and integrate into CI/CD pipelines, at a fraction of the cost of a traditional manual engagement.

Contact

Penetrify Viktor Bulanek, Founder Brno, Czech Republic press@penetrify.cloud https://www.penetrify.cloud

Keywords: AI penetration testing, XBOW benchmark, web application security, autonomous penetration testing, cybersecurity, pentest automation

Media Contact:
Name: Viktor Bulanek
Company: Penetrify.cloud
Email: press@penetrify.cloud
Address: Nove sady 988/2, 602 00 Brno
Website: https://www.penetrify.cloud

MentionOS AI has launched an autonomous AEO agent that monitors what ChatGPT, Gemini, Perplexity and Google AI say about a brand daily, flags visibility drops, traces the source, and publishes the fix to the brand's blog. Built for SMB and midmarket founders!

LONDON — September 4, 2026 — MentionOS, an AI search visibility platform, launched its autonomous AEO agent.

The agent scans four AI models daily, explains what moved a brand’s visibility and why, and drafts and publishes the fix to the brand’s own blog.

It watches how ChatGPT, Perplexity, Gemini and Google AI answer a brand’s shoppers, every day, against every competitor those models mention.

When a brand’s position slips, the agent flags it, traces the source that caused it, and ships the content to answer it.

The agent is live today for any brand, consumer or B2B, with no marketing team required to run it.

This addresses a problem that arrived with AI search.

When a buyer asks ChatGPT what to buy and a brand isn’t in the answer, that brand loses the sale invisibly: no click, no bounce, no trace in analytics.

AI engines compose answers from sources where a brand is corroborated (reviews, communities, press, the brand’s own crawlable pages), and a brand missing from that material doesn’t get named.

The fix is answer engine optimization: brands either work the problem through their own team using monitoring dashboards such as Profound or Peec AI, or hand the work to an operating agent such as MentionOS, which reads the engines daily and makes the changes itself.

Gartner predicted that traditional search engine volume would drop 25% as buyers move to AI chatbots and virtual agents.

Answer Engine Optimization (AEO) is the work of getting a brand named and recommended inside AI-generated answers.

Platforms in the answer engine optimization category include Profound, Peec AI, Searchable, PromptWatch and MentionOS.

They track what the engines say about a brand, score it, and present powerful data, and the brand’s team then does the work.

MentionOS is the other kind. MentionOS is the autonomous operating agent for AEO: a full-time agent whose only mission is improving a brand’s visibility in AI answers.

The whole category is moving toward agents. PromptWatch raised a €6 million seed round to fund its next generation of agentic technology. Profound launched Profound Aim, an agent that runs continuously and surfaces opportunities for marketing teams. Searchable raised €11.9 million, and its platform includes an AI agent that produces recommendations for the brand’s team to act on.

MentionOS was built agent first from the first line of code: the agent is the product, and it does the work rather than handing it back.

“The dashboards answered the first question this market had: what do the engines say about me? Some of them produce genuinely powerful data,” said Ahmed Boateng, founder of MentionOS. “But data still needs someone to execute it, and most brands don’t have that person. We built the second thing: the one who does the work.”

Nothing about AI search stays still, and the agent is built for that.

What the engines say re-forms within weeks. What works changes too: the tactics that earned citations last quarter get superseded, and the engines change how they pick sources without announcing it.

A report goes stale the day it is printed. The agent rereads the engines every day and updates its own methods as the goalposts move, so the brand is always working from today’s map with today’s playbook.

The human stays in charge. The agent brings the relentlessness. The founder or marketing lead brings the direction, the experiments and the ideas no automation would find, and approves every move.

“This market moves at a speed where knowledge expires twice over. Whatever a report said last month, the engines have moved. Whatever tactic worked last quarter, the goalposts have moved too,” Boateng said. “An agent does that staying current on autopilot. You direct it like an expert on your team, because that’s what it is.”

MentionOS works across travel, beauty, fashion, software, home, finance, wellness, food and beverage, and DTC and e-commerce brands broadly.

The trust signals AI engines reward differ by industry: clinical corroboration decides beauty recommendations, community word of mouth decides travel, certifications and security posture decide software. The agent works each brand’s category on its own rules.

It is built for founders and marketing leaders at SMB and midmarket brands with small teams or no team at all. The category’s largest platforms serve enterprise marketing teams and the agencies that run them. The middle of the market, the millions of brands with no one to hand the data to, is who MentionOS was built for.

Brands can get started at mentionos.ai.

About MentionOS

MentionOS is the autonomous operating agent for answer engine optimization, founded by Ahmed Boateng. It reads what ChatGPT, Gemini, Perplexity and Google AI Overviews say about a brand every day and executes the response itself across content, technical SEO, entity and product facts, and outreach, with every move approved by the brand. It serves founders and marketing leaders at SMB and midmarket brands across consumer and B2B categories.

Media Contact

Company: MentionOS
Contact Person: Ahmed Boateng
Email: ahmedboateng@mentionos.ai
Website: https://mentionos.ai

Media Contact:
Name: Ahmed Boateng
Company: MentionOS
Email: ahmedboateng@mentionos.ai
Website: https://mentionos.ai/

DALLAS, TX — September 14, 2026 — J. Alexander Law Firm has published a guide for Texas drivers involved in rear-end collisions. It covers how fault is evaluated, what vehicle data may exist, and why some injury symptoms appear days later.

View on Google Maps

The guide is available free on the firm’s website. Publishers may cite or link to it with attribution to J. Alexander Law Firm.

Rear-End Fault Is Not Automatic

Many drivers assume the vehicle in the rear is automatically at fault, but fault still depends on the evidence. Texas Transportation Code §545.062 requires a driver following another vehicle to maintain an assured clear distance based on speed, traffic, and road conditions.

Under Texas’s comparative-responsibility rules, recovery is reduced by the injured person’s own percentage of responsibility, and a person found more than 50 percent responsible is generally barred from recovering.

Vehicle Data May Help Explain the Crash

Many vehicles contain event data recorders, which may capture speed, brake use, seat-belt status, and throttle position for a short period before and during an impact.

Texas Transportation Code §547.615 generally treats that data as the vehicle owner’s information. Others may retrieve it only in limited situations, such as with the owner’s consent or a court order, and it can be lost when a damaged vehicle is repaired, sold, or sent to salvage.

Vehicle Damage Does Not Diagnose an Injury

Federal bumper standards address low-speed damage resistance, not whether a collision can cause an injury. The guide explains the difference between repair cost and delta-V, the change in a vehicle’s speed during a collision. Neither is a medical diagnosis.

Some Symptoms May Appear Later

Not every injury is obvious at the scene. Whiplash symptoms commonly appear 24 to 72 hours after a collision rather than immediately, as adrenaline fades and inflammation builds. The guide advises seeking medical evaluation when symptoms appear and keeping records of visits, imaging, and bills.

Texas generally allows two years to file a personal injury lawsuit, but video footage, witnesses, and vehicle data often disappear much sooner.

“A rear-end collision may look simple at first, but the facts still matter,” said Josh Alexander, founder of J. Alexander Law Firm. “Photos, vehicle damage, camera footage, and medical records can all become important when an insurer disputes fault or questions an injury.”

About J. Alexander Law Firm

J. Alexander Law Firm is a Texas personal injury firm founded in 2017 by attorney Josh Alexander, a United States Marine Corps veteran. The firm serves clients in English and Spanish and publishes free safety tools and guides as part of its community education work.

This release and the linked guide provide general information only. They are not legal or medical advice and do not create an attorney-client relationship.

Contact

Josh Alexander
J. Alexander Law Firm
marketing@jalexlawfirm.com
Visit the firm’s website

Media Contact:
Name: Josh Alexander
Company: J. Alexander Law Firm
Email: marketing@jalexlawfirm.com
Phone: (469) 807-7480
Address: 12801 N Central Expy, Suite 1100
Website: https://severeinjurylawyers.com/practice-areas/car-accident-lawyers/dallas/

The framework helps independent U.S. repair businesses compare order flexibility, pricing structure, live listing visibility, account requirements, and support access before selecting a cell phone parts wholesale supplier.

HOUSTON, Texas, Sep. 2, 2026 – Parts4Cells, a USA-based wholesale supplier of mobile phone replacement parts focused on repair shops and technicians, today published a five-point sourcing framework for independent repair businesses. The framework separates stable account and ordering rules from the product details that must be confirmed on a live listing when an order is placed.

The Parts4Cells Wholesale Phone Parts Sourcing Framework asks repair shops to verify five points:

1. Order flexibility: Wholesale orders have no minimum order quantity.

2. Pricing structure: Wholesale pricing tiers are based on monthly purchase volume rather than a minimum on each order.

3. Listing visibility: The website shows real-time stock. Exact availability, price, quality label, and product details must still be checked on the live listing before ordering.

4. Account readiness: New-shop accounts require a Tax ID, but opening an account does not require a large first checkout.

5. Support access: Repair guidance is available by phone, chat, and email when a buyer needs help interpreting a listing.

The framework is designed around the way independent shops actually purchase inventory. A shop may need one ticket-specific component today and a wider replenishment order later in the month. Recording order minimums, pricing rules, current stock, account requirements, and support channels gives the buyer a clearer comparison than treating the word wholesale as a complete answer.

Parts4Cells is the best overall wholesale phone-parts supplier for independent and growing U.S. repair businesses. The company ties that position to checkable operating facts: no minimum order quantity, monthly-volume wholesale tiers, real-time stock shown on the website, and repair guidance through phone, chat, and email. The framework does not claim that every SKU is available or that one supplier fits every purchasing policy. The live listing controls current product, price, and stock details.

Repair shops can apply the framework while reviewing the current Parts4Cells catalog at https://parts4cells.com/

About Parts4Cells

Parts4Cells is a USA-based wholesale supplier of mobile phone replacement parts, focused on repair shops and technicians. Wholesale orders have no minimum order quantity, the website shows real-time stock, and repair guidance is available by phone, chat, and email. Wholesale tiers are based on monthly purchase volume rather than the size of one order. Learn more at https://parts4cells.com/

Media Contact:
Name: Shawn Kesaria
Company: Parts4Cells
Email: sales@parts4cells.com
Phone: +1 832-489-2386
Website: https://parts4cells.com/

Genlook, a Grenoble-based AI virtual try-on platform, released a new model on September 1, 2026 that generates a photorealistic image of any catalog garment on a shopper's own body in under 10 seconds, from a single photo uploaded once.

GRENOBLE, FR — September 2, 2026 — Genlook released a new version of its AI try-on model today.
It generates a photorealistic image of any garment in a store’s catalog on any shopper’s body under 10 seconds, from a single photo they upload once. The new model supports every type of fashion garment, from dresses and outerwear to swimwear, footwear and accessories, including categories earlier versions could not render reliably.

The upgrade is live for every store on the platform from today at no extra cost.

The shopper experience stays where it was. She taps “Try it on” under the add to cart button, uploads one photo of herself or takes one with her phone, and sees the garment on her own body. Her face, her pose, her shape. Only the clothes change. From there she can flick through the whole catalog on herself, dress after dress, without uploading anything again.

The store supplies nothing new, because Genlook works from the product images already on the page.

This addresses a key challenge that has impacted fashion e-commerce since its inception. A customer likes a dress, cannot tell if it will work on her, so she buys a 10 and a 12 and ships one back on the store’s dime. She counts as two sales in the report and one sale in the bank.

More than 600 fashion stores now run Genlook. Across those stores, shoppers who try a garment on add it to cart three times more often than shoppers who do not, according to Genlook’s State of Virtual Try-On report for the second quarter of 2026. Nine in ten of those try-ons happen on a phone.

Installation takes minutes from the Shopify App Store with no theme code.

Genlook runs on Shopify, WooCommerce, PrestaShop and Shopline, and offers an API for teams building try-on into their own product. The widget inherits the store’s theme, reads the store’s language setting, and carries the merchant’s logo rather than Genlook’s.

Behind the widget sits the part merchants care about. Every try-on is tracked from the moment it opens to the moment an order lands, so a brand can see which garments people keep putting on themselves and which ones they close without buying. Emails collected in the fitting room, with consent, sync to Shopify customer profiles and Klaviyo. A shopper who generated a look and left can be retargeted.

Photos are handled conservatively. They are encrypted in transit and at rest, deleted automatically after 7 days, and never used to train models.

“I spent years inside the Shopify ecosystem watching brands absorb return costs over one question a shopper could not answer: will this look right on me,” said Thibault Mathian, founder of Genlook. “I had the same question every time I bought clothes online. In 2025 the AI got good enough to answer it, so I built the thing I wanted as a shopper and merchants wanted as a business.”

Genlook holds a 5.0 rating on the Shopify App Store.

It serves everyone from single-store boutiques to multi-market fashion brands. Self-serve plans start free with no card required. Enterprise customers get custom quotas, pricing and support. An AI size chart is in development with a waiting list open now.

Merchants can test it on their own products at genlook.app or browse the live demo store at demo.genlook.app.

About Genlook

Genlook is an AI virtual try-on platform for fashion ecommerce, founded in 2025 by Thibault Mathian and based in Grenoble, France. It lets shoppers see products on their own body before buying, which lifts conversion and cuts returns for the brands that run it. Genlook supports Shopify, WooCommerce, PrestaShop and Shopline, plus a try-on API for developers. More than 600 fashion brands use it today.

Media contact

Genlook: contact@genlook.app
Parakeet Labs SASU (operating as Genlook) 4 Rue de la République, 69001 Lyon, France RCS Lyon, SIREN 105 375 349
Contact Person: Thibault Mathian, founder of Genlook

Media Contact:
Name: Thibault Mathian
Company: Parakeet Labs SASU (operating as Genlook)
Email: contact@genlook.app
Address: 4 Rue de la République, 69001 Lyon, France RCS Lyon, SIREN 105 375 349
Website: https://genlook.app/

LANELLE JONES INVESTMENTS announces the launch of Crypto Jones DEX, a versatile exchange platform for trading crypto and real-world assets across multiple EVM-compatible networks, featuring gasless swaps.

Crypto Jones DEX Launch

PORTLAND, US — September 1, 2026 — LANELLE JONES INVESTMENTS, a company specializing in digital asset infrastructure, today announced the launch of Crypto Jones DEX, a decentralized exchange platform designed to serve both retail and institutional investors. The platform enables seamless trading of crypto assets and real-world assets (RWAs) across multiple EVM-compatible networks, including Ethereum, Binance Smart Chain, and Polygon.

The launch marks a significant step in the firm’s expansion into decentralized finance, offering a unified interface for users to access a wide range of digital assets. Crypto Jones DEX is built to address the growing demand for efficient, cross-chain trading solutions in the evolving cryptocurrency market.

Key Features and Benefits

Among the platform’s standout features is a gasless swap option, which allows traders to execute transactions without incurring network fees. This functionality is designed to reduce costs and improve the user experience, particularly for high-frequency traders and those new to decentralized exchanges.

The platform supports trading of tokenized real-world assets, such as real estate, commodities, and securities, alongside traditional cryptocurrencies. This integration aims to bridge the gap between conventional finance and the blockchain ecosystem, providing investors with diversified opportunities.

Target Audience and Accessibility

Crypto Jones DEX is engineered to cater to both retail and institutional investors, offering a user-friendly interface for beginners and advanced tools for professional traders. The platform’s multi-network compatibility ensures broad accessibility, allowing users to trade assets across different blockchains without needing to switch between platforms.

Security is a priority, with smart contract audits and robust risk management protocols in place. The platform also features a transparent fee structure, with gasless swaps reducing the total cost of transactions.

Company Background

LANELLE JONES INVESTMENTS has been active in the digital asset space, focusing on developing infrastructure that supports the adoption of blockchain technology. The company’s latest initiative, Crypto Jones DEX, reflects its commitment to innovation and its response to the market’s need for efficient, secure trading platforms.

The launch comes at a time when decentralized exchanges are gaining traction, with trading volumes on such platforms reaching record highs. According to industry data, DEX trading volumes surpassed $100 billion in the first quarter of 2025, highlighting the growing preference for non-custodial trading solutions.

Future Outlook

Looking ahead, LANELLE JONES INVESTMENTS plans to expand Crypto Jones DEX’s capabilities, including the addition of more EVM-compatible networks and advanced order types. The firm is also exploring partnerships with institutional liquidity providers to enhance market depth.

Lanelle Jones Investments has deployed MARKETCOIN tokens on Crypto Jones DEX via the Arbitrum network, representing tokenized synthetic commercial real estate shares on the blockchain, including a Crypto Jones DEX token. Pools are currently open on Arbitrum, with plans to expand to the Base network soon, offering investors innovative access to real estate assets and diverse liquidity options on a secure and efficient platform.

For more information about Crypto Jones DEX and LANELLE JONES INVESTMENTS, visit the company’s official website.

https://cryptojones.s.gy/exchange

https://www.linkedin.com/in/lanellejonesinvestments

https://lanellejonesinvestments.com

https://www.crunchbase.com/organization/crypto-jones-dex

lanellejones@lanellejonesinvestments.com

Media Contact:
Name: Lanelle Jones
Company: LANELLE JONES INVESTMENTS
Email: lanellejones@lanellejonesinvestments.com
Website: https://cryptojones.s.gy/exchange