EQUIPMED Electric Folding Wheelchair, Folding, Long Range, Aluminium Frame, Lithium Battery, Black
SKU: 22751414917

EQUIPMED Electric Folding Wheelchair, Folding, Long Range, Aluminium Frame, Lithium Battery, Black

$562.05 $624.50
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Description

EQUIPMED Electric Folding Wheelchair, Folding, Long Range, Aluminium Frame, Lithium Battery, BlackThis Equipmed PowerCruise Venture electric wheelchair is the ultimate solution for anyone in need of a reliable and comfortable mobility device. GENEROUS RANGE OF UP TO 15KM Thanks to a 12Ah Lithium battery you can enjoy the freedom to venture where you want. EASY TO USE Steering is intuitive using the joystick that can be mounted on either the left or right hand side, and with easy to read LED controls. You can travel along at a sensible speed of up

This Equipmed PowerCruise Venture electric wheelchair is the ultimate solution for anyone in need of a reliable and comfortable mobility device.

GENEROUS RANGE OF UP TO 15KM

Thanks to a 12Ah Lithium battery you can enjoy the freedom to venture where you want.

EASY TO USE

Steering is intuitive using the joystick that can be mounted on either the left or right-hand side, and with easy-to-read LED controls. You can travel along at a sensible speed of up to 6km/h, which is a brisk walking pace.

PREMIUM PERFORMANCE

Twin motors offering a total of 500 watts offer an enjoyable riding experience with smooth and responsive performance, not to mention the ability to climb hills and ramps right up to a 15-degree incline! A tight 1m turning circle offers the manoeuvrability you need on paths and in places like shopping centres and airports.

MAXIMUM COMFORT

Ride in pleasure thanks to the thick memory foam seat and the padded backrest. A 6-point suspension system soaks up the bumps.

EASY FOLDING

The Equipmed motorised wheelchair is quick to fold. Plus, an alloy frame and easy-to-remove lithium battery mean that it is as light as possible for loading into a car boot or moving into a space-saving storage position.

EASY ACCESS

Getting on and off this Equipmed Power Wheelchair is easy thanks to swing-up armrests and the swing-up footrest. The retracting armrests also give you the option of dining at a table.

SAFETY FIRST

This Equipmed electric wheelchair has many features built-in; Seat Belt, Anti-tip Wheels, Dual Park Brake, and Smart Speed Control which regulates the speed when going downhill. The high-quality frame means that it can accommodate a 130kg rider weight.

CONVENIENT DETAILS

There are easily accessible mesh pockets under each armrest.

This outstanding mobility solution may attract some coverage by private health insurers or Medicare (check with your provider). Experience freedom like never before with Equipmed's Electric Foldable Wheelchair today!

Specification


  • Brand: Equipmed
  • Model: PowerCruise Venture
  • Frame: Aluminium
  • Motor: 2 x 250W
  • Seat Width: 45cm
  • Battery: 24V 12Ah Lithium
  • Brakes: Electronic smart brakes, Mechanical park brake
  • Rear Wheels: 12" Pneumatic
  • Front Wheels: 8" PVC
  • Safety Features: Seat belt, Anti-tip wheels
  • Storage: Armrest mesh bags
  • Max Load: 130kg
  • Seat Height: 50cm
  • Turning Radius:100cm
  • Maximum Range: 15 km (condition dependent)
  • Maximum Climbing Gradient: 15 degree
  • Charger power adaptor: 240V AC Input voltage/Output 24V
  • Power Plug: 10A Australian Standard
  • Approvals: CE (battery), SAA (Charger and Power Cord)

IN THE BOX

  • 1 x Equipmed PowerCruise Venture Wheelchair
  • 1 x Lithium Battery
  • 1 x 240V Charger
  • 1 x Toolkit
  • Note: User Manual is accessible online

SIZE WEIGHT

  • Product Dimensions:
    • Unfolded (W x L x H): 63 x 110 x 96cm
    • Folded (W x L x H): 35 x 60 x 74cm
  • Product Weight Unfolded: 30kg, Folded: 27kg (with battery removed)
  • Carton Dimensions (W x L x H): 64 x 42 x 79cm
  • Carton Weight: 36kg

SKU: HELWLCEQPKK6A


We accept Change of Mind returns for 14 days after you have received the item in cases where you have changed your mind or made an incorrect purchase and wish to return the product. This also applies to orders cancelled when the item has already been dispatched from our warehouse. The item must be in a re-saleable condition to qualify for a change of mind refund. Deductions may apply including Initial and Return Shipping, as well as restocking fee of 10% of the product price

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 22751414917

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4.4 ★★★★★
Based on 1686 reviews
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Product Reviews
O
Om S
Phoenix, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Houston, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Dallas, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Battle Creek, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Natrona Heights, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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