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3W Auto-life Celebrates 11th Anniversary With Free Upgrades for 11 Winners and 650 Global Prizes

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3W Auto-life Celebrates 11th Anniversary With Free Upgrades for 11 Winners and 650 Global Prizes
Business

Business

3W Auto-life Celebrates 11th Anniversary With Free Upgrades for 11 Winners and 650 Global Prizes

2026-09-01 23:12 Last Updated At:23:35

Starting September 8, the brand's #GoodMess campaign introduces a new theme, "A New Decade. On Every Journey," in the US, UK and EU markets alongside sitewide savings and a free metal-pedal upgrade for 11 longtime US customers.

EDISON, N.J., Sept. 1, 2026 /PRNewswire/ -- 3W Auto-life, a multi-award-winning leader in premium custom-fit car floor mats, will mark its 11th anniversary with a three-week program running September 8–28, 2026: a season of deals; prize giveaways in the US, UK and Europe; and a free product upgrade for 11 longtime US customers.

With the anniversary theme "A New Decade. On Every Journey," the company is turning its attention from what its mats are made of to what they are made for: the ordinary mess of a life being lived. Snack crumbs on the ride to school, muddy puppy paws after a hike, rainwater from a pair of work boots, sand carried in from the beach. 3W dubs it the #GoodMess and is asking drivers to share the stories behind theirs.

#GoodMess: 11th Anniversary Social Media Campaign

Running throughout the anniversary event, 3W's customer story series will feature longtime drivers — from growing families to off-road regulars — sharing how their 3W mats have kept pace with their lives.

"A lot changes in 11 years. Families grow, companions join the ride, and the roads people drive change with them," said Angela Wang, one of 3W Auto-life's founders.

"What we hear from customers is that the mess in the car is usually the sign of a good day. Our job is to make sure it never stops anybody from moving along with the things they enjoy."

11 Upgrades for 11 Years

The centerpiece of the celebrations is the 11th Anniversary Metal Pedal Upgrade Program, exclusive to US customers. 3W has introduced a wear-resistant metal-pedal upgrade in the driver-side heel area of eligible newer mats, helping protect an area exposed to heavy wear during daily driving. To mark 11 years, 3W will select 11 eligible existing US customers to receive a complimentary metal-pedal upgrade.

Starting September 8, customers can indicate their interest by commenting with their vehicle year and model, how long they have used their 3W mats, and their most memorable #GoodMess moment. To make the shortlist, entrants must currently use 3W mats, own a vehicle for which an eligible metal-pedal version is available, provide a photo or short video, and authorize 3W to use their submitted content. Shortlisted candidates will be contacted through the middle of the month, and the 11 winners will be announced after September 22.

Eligible US models include the Ford F-150, Ford Bronco, Toyota Tacoma, Honda CR-V, Hyundai Palisade, BMW X3, Tesla Model 3 and Tesla Model Y.

Engaging UK and EU Customers via Social Platforms

In the UK and EU, 3W has launched Instagram and Facebook accounts just in time to celebrate the brand's 11th anniversary. Giveaways are planned in September for these markets, with all vehicle models available on the official market-specific websites eligible as prizes — customers are encouraged to keep an eye out on 3W's UK and EU social accounts.

UK

EU

Sitewide Savings and 650 Anniversary Prizes Across US, UK and EU

To mark the 11-year milestone, 3W is running limited-time anniversary deals from September 8 to 28, 2026:

The anniversary event page opens September 8 with an open-entry prize wheel requiring no purchase. In the US, 350 prizes will be available, including gift boxes, foldable storage boxes and $50 gift cards. In the UK and EU, a prize wheel will offer 50 pet seat covers and 100 gift cards for each market, while supplies last.

11 Years of Product Development

Over the past 11 years, 3W has focused on vehicle-specific fit, durability, and protection for real-world driving. The anniversary campaign highlights continuing product development through the wear-resistant metal-pedal upgrade and customer stories showing years of everyday use.

Behind it all is 3W's own VigorMold™ process and eco-friendly Thorex™ material, which ensure its mats are safe, long-lasting and easy to maintain. Guided by a "one car, one design" philosophy, 3W's professional R&D team delivers quality and innovation at every step.

About 3W Auto-life

Founded in 2015, 3W manufactures high-end floor mats for a wide range of vehicles. They are partnered with more than 30 global OEM partners and have designed more than 600 custom-fit molds for vehicle floor mats. To date, their floor mats have won more than 30 design awards, including the prestigious German Red Dot Award, and are trusted by drivers in the United States, Canada, Europe, the United Kingdom, South Korea, Saudi Arabia and beyond. Learn more at 3wliners.com.

Contact: 3Wautolife@rootcomms.com

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

3W Auto-life Celebrates 11th Anniversary With Free Upgrades for 11 Winners and 650 Global Prizes

3W Auto-life Celebrates 11th Anniversary With Free Upgrades for 11 Winners and 650 Global Prizes

What happens when AI starts investigating its own ideas? AutoResearch is an open-source attempt to bring AI agents one step closer to answering that question through experiments, evidence and iteration.

SAN FRANCISCO, Sept. 2, 2026 /PRNewswire/ -- EvoMap, an open infrastructure project for AI self-evolution, has open-sourced AutoResearch, a system that lets AI agents take research ideas from hypothesis to experiment and use the results to determine what happens next.

The Research Verification Problem

AI models are getting better at proposing ideas, writing code and analyzing results. But does a plausible answer actually hold up when put to the test?

AutoResearch starts from a simple premise: a model's confidence is not evidence of success.

The system uses multiple AI models to independently generate and cross-review research ideas, then converts accepted ideas into executable research plans with defined metrics, success criteria, resource budgets and evaluation procedures. During execution, specialized agents handle planning, implementation, experimentation, analysis and review.

Research state, code, experiment logs, metrics, failures and decisions are preserved in a persistent workspace, allowing the system to continue unfinished research rather than restarting from scratch. Independent and blind review is also used to challenge conclusions before a research direction can be closed.

Evidence Determines What Happens Next

One of the more important design choices in AutoResearch is that failure is not treated as the end of a research path.

A partial result can lead to a revised hypothesis. An external test can expose a problem and trigger another round of experiments. And when repeated experiments stop producing meaningful gains, the system can stop pursuing the idea while retaining what was learned.

The approach was tested on a real Django issue from SWE-bench Lite. AutoResearch initially scored 2/7 and then 4/7 on official new-feature tests. Rather than stopping after the partial improvement, it continued investigating the underlying problem and ultimately reached 7/7, while maintaining 203/203 regression tests.

On the RSICD benchmark, an AutoResearch-generated research idea improved mean Recall from 32.84 to 34.69, demonstrating that the system could turn an AI-generated research hypothesis into a measurable improvement through iterative experimentation.

From AI Research to AI4AI

What happens when AI starts researching AI itself?

AI can already help researchers search the literature, identify promising directions, formulate hypotheses and even design experiments. The harder problem is what comes after that: can AI actually test the ideas it comes up with, and let the results determine whether those ideas are worth pursuing?

In AI research, this could mean agents exploring model architectures, training methods, optimization algorithms, agent designs and evaluation techniques, then running experiments to test their hypotheses and using the results to shape the next round of research. Moving from "this might work" to "let's find out whether it actually works" is a critical step toward more autonomous research.

The same principle could eventually extend beyond AI to areas such as drug discovery, materials science and engineering, where research ideas can be evaluated through simulations or physical experiments. The potential is not simply to have AI assist with more of the research process, but to give it a way to learn from what happens when its ideas meet evidence.

That is the direction AutoResearch is designed to explore: turning research ideas into executable experiments, experiments into evidence, and evidence into the next research decision.

Open-Source Research Infrastructure

AutoResearch is now available as an open-source project for researchers and developers working on AI scientists, autonomous agents and AI4AI systems. The accompanying paper, "AutoResearch: Insight In, Hallucination Out," is available on arXiv.

GitHub: github.com/EvoMap/AutoResearch
Research paper: arXiv: AutoResearch: Insight In, Hallucination Out
Technical research: EvoMap Research: AutoResearch Evidence Loop

About EvoMap

EvoMap is an open infrastructure project for AI self-evolution. The company is building systems that allow AI agents to learn from experience, share validated capabilities and improve across tasks and environments. EvoMap's work spans AI agent infrastructure, reusable AI capabilities and autonomous AI research, with representative projects including the Genome Evolution Protocol (GEP), EvoX Agent and AutoResearch.

Learn more at evomap.ai.

 

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

EvoMap Open-Sources AutoResearch, Giving AI Agents a Way to Test Their Own Research Ideas

EvoMap Open-Sources AutoResearch, Giving AI Agents a Way to Test Their Own Research Ideas

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