Presti, which built its name as the leading AI visual solution for the furniture and home decor sector worldwide, has launched a rebuilt version of its platform, now built around a single AI agent.
Rather than another tool to operate, the agent takes on the work itself. A user describes what they need in plain conversation, and it helps shape the brief, asks what it is missing, then plans and produces the work, handling image and video, from a single visual to a full set.
The launch addresses a problem that keeps growing for brands, retailers, and manufacturers. A single product now needs lifestyle scenes, packshots, variants, dimension views, 360 spins, and increasingly video, in more formats and for more channels than ever. Most AI tools have not made this much easier.
They generate one image at a time from a written prompt, and leave the team to gather the source material, check the output, and keep everything on brand by hand. The work still falls on people.
The agent gathers what it needs on its own. It can pull from the files a team already has, a brief in a spreadsheet, product links, packshots, and brand guidelines, and it can retrieve references from the web. It then decides how to execute each part of the job and picks the best generative model for it, instead of asking the user to write prompts or choose tools.
Where the earlier Presti ran on a single proprietary model, the new platform orchestrates the best models on the market and adds new ones as they appear, so output quality keeps pace with the technology.
Keeping AI output on brand is the hard part, and Presti is built for it. A brand’s guidelines and references are saved once and applied to every job, so a whole catalog stays consistent without re-briefing, and the
Presti has rebuilt its platform around an AI agent. It works in conversation, helps shape the brief, pulls in the product data and references it needs, and produces a complete, on-brand set. The agent produces the full range of product visuals, image and video, choosing the best generative model for each task.
It keeps every output on brand, organizes the work from creation to review, and remembers a brand’s guidelines from one project to the next. agent remembers them from one project to the next. It also varies its output, so a set does not come back looking repetitive.
Quality and control are what hold most teams back from using AI at scale, so Presti builds review into the work. Roles run from creators to reviewers, versions can be compared side by side and commented on in context, then approved or rerun. Every visual is reviewed and approved by the team before it is published. The same brief can produce a single image or thousands, drawing on a team’s own product data.
Nabil Toumi, Co-Founder & CEO at Presti, commented: “Brands have embraced AI for visual production, but it is still far too complex, with teams juggling multiple tools, post-producing almost everything by hand, and fighting to stay on brand. We built the new Presti to take all of that on, like a senior member of the creative team that works on its own initiative and makes everyone far more productive.”
