The control layer between retailers' generative AI stacks and what reaches the customer. Indexed against your brand book, claim library, and visual canon.
Packaging variants. Localized campaigns. ESG and origin claims. In-store signage across forty markets. Out of the box, generative models drift — wrong palette, off-tone copy, hallucinated claims, broken localization. The bottleneck isn't generation. It's governance.
VENIA learns your brand book, your claim library, and your visual asset library at onboarding. After that, every piece of creative your team generates — a banner, a packshot, a social post, a packaging variant — gets checked against those rules before it lands in front of a human reviewer. Anything that fails gets sent to the right person with the specific rule that triggered the flag.
Under the hood: an eval-harness with a RAG index over your brand corpus and a small fine-tuned VLM judge. Vendor-agnostic adapters at the API boundary — image, copy, video.
Brand teams at European retailers are being asked to govern an order-of-magnitude increase in creative volume with the same headcount. The math doesn't work. VENIA does the first pass — checking every AI-generated asset against the brand's own rules before it reaches a human reviewer.
Designer with five years in visual identity for European consumer brands — most recently agency-side at GUT Madrid.
Started VENIA after watching generative AI enter retail marketing stacks faster than brand governance could keep up.
Based in Madrid.
Best fit: retail and CPG brands shipping AI-generated creative at scale, or planning to in the next twelve months.
Request a demo