ArtLabs

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About
ArtLabs is an enterprise-grade AI platform designed to bridge the gap between digital and physical shopping through 3D and Augmented Reality (AR) solutions. It primarily focuses on the footwear and retail sectors, providing a suite of tools that allow customers to visualize products in their real-world environment or virtually try on items like shoes. The platform leverages a proprietary dataset and advanced training pipelines to automate the creation of high-quality 3D assets, which traditionally required expensive photoshoots or manual modeling from scratch. The technology utilizes AI to generate 3D visuals directly from existing 2D product images found on standard product detail pages. For brands that already possess CAD or 3D design files, ArtLabs provides optimization services to ensure real-time rendering performance by reducing file sizes and standardizing formats for the web. Once created, these assets are deployed through platform-agnostic SDKs and low-code integrations, enabling seamless implementation across various eCommerce websites and mobile applications. The system also includes an AI co-pilot for 3D and a dedicated studio for managing immersive content assets. The tool is tailored for mid-to-large-scale retailers and eCommerce enterprises, particularly those in footwear, furniture, fashion, and consumer electronics. Global brands like HOKA and UGG use the platform to provide virtual try-on experiences that aim to increase customer confidence during the digital purchase journey. It is also highly suitable for marketing teams looking to deploy 3D advertisements and interactive product displays to enhance engagement across multiple digital channels. What distinguishes ArtLabs from competitors is its status as an Amazon Certified 3D Content Provider and its SOC 2 Type 2 certification, which emphasizes data security and enterprise reliability. The platform claims its AI-driven workflow is significantly faster and more cost-efficient than traditional 3D modeling. Additionally, the platform provides built-in ROI analytics, allowing businesses to track specific performance metrics such as conversion rate increases and reductions in product return rates directly attributable to their AR experiences.
Pros & Cons
Automates 3D asset creation from 2D images, claiming to be 10x faster than manual methods.
Certified Amazon 3D Partner, ensuring compatibility with major retail ecosystems.
SOC 2 Type 2 certified for enterprise-level data security and privacy compliance.
Provides measurable ROI metrics, including reported 71% conversion increases and 28% return reductions.
Supports a wide range of input file types including CAD, GLB, and over 70 other formats.
Pricing is not transparent and requires direct contact for a custom quote.
The virtual try-on technology is heavily specialized for footwear, which may limit utility for other apparel categories.
Implementation for very small catalogs may not be as cost-efficient as it is for enterprise-scale volumes.
Use Cases
eCommerce managers at footwear brands can implement virtual try-on to let customers see shoes on their feet, reducing size-related returns.
Marketing teams for furniture retailers can use 3D visualization to allow shoppers to place items in their homes using AR before purchasing.
Enterprise product designers can optimize existing CAD files into lightweight 3D models for real-time web performance across mobile devices.
Retailers selling on Amazon can leverage the platform's certified status to quickly populate their product listings with high-quality 3D content.
Platform
Features
• 3d product visualization
• augmented reality experiences
• virtual shoe try-on
• low-code sdk integration
• multi-file format support
• amazon certified content production
• roi analytics dashboard
• ai 3d model generation
FAQs
Can ArtLabs' solutions be integrated with my existing eCommerce platform?
Yes, ArtLabs offers platform-agnostic, low-code solutions and SDKs that integrate with most websites and mobile apps. This allows brands to deploy 3D and AR experiences without needing a complex, custom development process.
How does ArtLabs create 3D models without new photoshoots?
The platform uses proprietary AI to generate 3D visuals directly from your existing 2D product images. If you already have CAD or GLB files, ArtLabs can also optimize these for real-time web rendering by reducing file sizes.
What industries is this solution best suited for?
While highly specialized for footwear, it is effective for industries with physical products like furniture, accessories, jewelry, and consumer electronics. Any brand looking to reduce returns through better product visualization can benefit.
What is the cost for using the ArtLabs platform?
Pricing is customized based on the number of SKUs and the specific types of immersive experiences required. The team provides quotes designed to ensure a positive return on investment for the enterprise.
Does the platform provide any security certifications?
Yes, ArtLabs is SOC 2 Type 1 and Type 2 certified, ensuring that data security and privacy compliance meet industry standards. This makes it a reliable choice for large-scale enterprise retailers.
Pricing Plans
Enterprise
Unknown Price• AI-powered 3D model creation
• Virtual try-on technology
• Immersive shopping experiences
• ROI analytics dashboard
• Amazon certified 3D content
• SOC 2 Type 2 security
• Platform-agnostic integration
• SDK access
Free Demo
Free Plan• Initial discovery call
• Experience platform capabilities
• Proof of concept visualization
Job Opportunities
Neural Graphics Engineer
Transform product images into high-fidelity 3D models and AR try-on experiences for eCommerce brands to boost conversion rates and reduce return volumes.
Benefits:
Great salary and health benefits
Equity in mid-term
Fully remote work with flexible working hours
Experience working with a team of expert engineers
Access to educational content, courses, and events
Education Requirements:
M.Sc. or Ph.D. with a focus on Computer Vision, Computer Graphics, Machine Learning, or a related field
Experience Requirements:
Experience designing, implementing, and training deep neural networks
Knowledge in neural rendering research and development
Experience in C++ and Python
Experience designing and implementing complex software systems
Experience with TensorFlow, PyTorch, JAX, or similar frameworks
Other Requirements:
Must be living in GMT +0 to GMT +3 timezones
Knowledge of neural graphics primitives
Knowledge in 3D depth understanding and 3D vision
Excellent communication skills
Self-starter with an amazingly positive attitude
Responsibilities:
Development of solutions to complex research problems regarding neural graphics primitives
Deployment and improvement of machine learning products on the cloud
Building products never seen before in space
Implementing exciting features using JAX, PyTorch, or Tensorflow
Keeping track of the existing 3D Machine Learning literature
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Ratings & Reviews
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