Amra Tareen Unveils Future of AI Visualization: A Game Changer for Designers!

By Michael Reed

Amra Tareen and the Future of AI Visualization For Designers

Breaking Into the Market, a podcast produced by SANDOW Design Group and hosted by Andrew Lane from House of Digby, recently featured an episode with Amra Tareen, the CEO of ALL3D.AI. Tareen, known for her pivotal role in expanding Decorist—an E-design platform that was eventually acquired by Bed Bath & Beyond—shares insights on how ALL3D.AI has become the preferred choice for designers, decorators, retailers, and clients aiming to accurately and inventively represent interior designs.

Continue reading to explore key points Tareen shared during the podcast.

Evolution from Decorist to ALL3D.AI

At Decorist, we initiated the process by creating a 3D rendition of the client’s room, which was followed by a designer crafting a mood board featuring all the selected products. We then developed 3D models of these products, and our modeling team would design the layout of the entire room and produce the renderings. We observed significant improvements in conversion rates—a 50% increase. Back in 2016, the use of 3D modeling in e-commerce was not very common, despite the emergence of cameras capable of creating 3D images. This was part of a broader trend towards exploring spaces in 360 degrees.

ALL3D.AI: A Tool for Everyone

The main idea behind launching ALL3D.AI was to provide a tool that could be used by designers, end-users, merchandisers, or anyone involved in e-commerce. We aimed to create a browser-based application accessible to all. At ALL3D.AI, users can upload photos of their products or spaces, and behind the scenes, we have a marketplace of 3D modelers ready to quickly turn these into detailed models. The platform includes extensive automation features to streamline the process.

Consistent Quality Assurance

Our internal team of interior designers continuously uses our product, helping us identify any missing features quickly. With the advent of AI imaging in the market, we also began exploring how to utilize a foundational model and train it to enhance control, given that AI sometimes introduces unpredictable elements.

Personalization and Openness

Our experience has shown that our customers highly value deep personalization. Thus, the ability to edit images based on a foundational model is crucial. It’s important to allow creatives in the industry to have this level of control. Our marketing team suggests, “Since you’re using these foundational models for initial generations, why not disclose to our customers the models in use?” For example, models such as Gemini’s Nano Banana Pro, FLUX (by Black Forest Labs), and Quinn are part of our process. We provide customers with the first four generations of models upon uploading—and then let them choose or request new generations.

Similar Posts

Rate this post

Leave a Comment

Share to...