The problem of hallucinating products

Generative AI is exceptionally good at creating beautiful backgrounds and generic objects, but it is notoriously bad at maintaining the precise details of a specific consumer product. For a brand like L'Oréal or Clarins, a "close enough" version of a perfume bottle is a legal and brand failure. Labels must be perfectly legible, colors must match the physical SKU, and geometry cannot warp. Omi solves this by decoupling the product from the environment. The result is a workflow where the creative power of AI is used for the context of the image, while the product itself remains a fixed, unchangeable asset.

Digital Twins as a system of record

The core of Omi’s platform is the 3D Digital Twin. Instead of asking an AI to imagine a product based on a prompt, Omi creates a high-fidelity 3D model of a brand's SKU once. This model includes validated materials, geometry, and variants. Once this system of record exists, it is used to anchor every visual generated. Their proprietary model, ProductDrop, allows users to take a generative AI output and "drop" the accurate 3D product into that scene. This ensures the background remains creative and varied while the product remains a pixel-perfect representation of the actual item. This hybrid approach eliminates the hallucinations that typically plague enterprise AI adoption in marketing, where a model might accidentally add a third arm to a model or warp a brand's logo.

Slashing the cost of the content loop

Traditional content production involves shipping physical products to studios, setting up lights, and undergoing lengthy post-production cycles. Omi claims a 90% cost reduction compared to traditional photoshoots. More importantly, it reduces the time to produce a visual from weeks to roughly two minutes. This speed allows brands to generate "always-on" content for social media and localized ads that would be cost-prohibitive using standard photography. A marketing manager can test dozens of different backgrounds for a single product in the time it would previously have taken to book a studio.

Enterprise adoption and scale

The company has found significant traction within the Consumer Packaged Goods (CPG) and luxury sectors, where visual fidelity is non-negotiable. Their client list includes global conglomerates like L'Oréal, LVMH, and Nestlé. These organizations use Omi to maintain brand governance across international markets, ensuring that a product launch in Paris looks identical to one in New York, even if the creative backgrounds are tailored to local tastes. Founded in 2020, Omi occupies a specific niche in the AI stack. They are the bridge between the fluid, unpredictable world of diffusion models and the rigid, accurate requirements of enterprise brand management. By treating the product as a 3D data object rather than just a collection of pixels, they provide a level of control that standard image generators cannot match.