Canoa's recommendation engine helps designers explore a larger design space through product recommendations prompted by user behavior. A patented approach, Canoa's AI engine learns about your preferences and helps you search and discover products and brands you may not have known before.
Read more below about our work on patent #11,977,821
Let’s face it—we do most of our product research online. Platforms like Instagram and Pinterest are good for discovery, but they lack the depth needed to truly evaluate products. Canoa connects your design to the catalogs of hundreds of brands, allowing you to go from inspiration to specification seamlessly.
Our new Web Clipper transforms how designers capture and organize product information, eliminating hours of tedious data entry with a simple copy-paste workflow.
Intelligent Data Extraction:
Our AI parses web pages to identify and extract structured product information including specifications, pricing, dimensions, materials, and more
Automatic Image Processing:
The system captures and optimizes product images, maintaining the highest possible quality
Metadata Preservation:
Important details like manufacturer, SKU, availability, and lead times are preserved automatically
Source Attribution:
Every clipped item maintains a permanent link back to the original webpage for easy reference and verification
Consistent Formatting:
All extracted information is automatically organized in a standardized format that works seamlessly with your Canoa canvas
That inspirational image captures exactly what you want—but finding similar products can be frustratingly elusive. Conventional catalogs and search tools force you to describe what you see using limited filters and keywords. Canoa's AI visually analyzes your inspiration images to recommend products with similar aesthetics, materials, and forms—even identifying specific items within the image. This visual-first approach bridges the gap between inspiration and specification, helping you discover perfect matches and unexpected alternatives that align with your design vision.
As you're designing, Canoa automatically recommends similar products and inspirational images that fit seamlessly with the rest of your Canvas. Our advanced system combines computer vision technology with our extensive product database to deliver intelligent recommendations in real-time.
Computer Vision Analysis:
Our AI examines the visual characteristics of products in your design—analyzing form, color, texture, and style
Product Database Cross-Referencing:
We compare these visual attributes against our vast catalog of thousands of design products
Contextual Understanding:
The system considers the overall context of your canvas, not just individual elements
Continuous Learning:
The more you use Canoa, the better it becomes at understanding your unique design preferences
Patent 11,977,821, issued on May 7, 2024, to The Canoa Supply Company PBC, introduces an AI-powered system for personalized object recommendations and automated space planning in computer-aided design (CAD) environments. Inventors Margaret Marsh, Walter Federico Negro, Joshua Emig, and Nicolas Chaulet have created a platform that simplifies and enhances space design by integrating the following features:
This patent marks an advance in generative space planning by automating much of the decision-making process in CAD, enabling users to create more personalized and efficient layouts.For more details, you can view the full patent here: Patent 11,977,821 on Justia
Everything you need to know about getting started, coursework, tips and tricks and billing. Can’t find the answer you’re looking for?
Please chat to our friendly team.
Yes! You can sign up and test a full Pro version of Canoa for 14 days.
You can see our pricing here.
Brands publish the product data directly on Canoa. Canoa does not scrape or aggregate data in bulk from any sources.
There are 100s of brands that publish their data for free on Canoa already and we are working every day to onboard more. You can find a sample list by going here. Sign up to see the full list.
Yes! Visit our help docs to see when the next training session is.
Feel free to reach out to one of our design technology specialists with any question.