Inku

Describe the scene in plain language. Your Brand Engine puts your exact product in it, with your label and your colors. Your brand deserves better than generic ai tools. Try Inku today!

A campaign photoshoot costs €50K–100K. A Brand Engine costs €250–500 a month and makes new visuals every week. Send us 10 images and your brand book. Your Brand Engine is live in days, and your team makes its first campaign visuals that same week. See how leading enterprise brands are using Inku to get ahead!

Your media plan is locked. Your launch date is set. So why are you still waiting on assets? Targeting happens in milliseconds. Media buying is automated. But creative production still runs on a pipeline built for the agency era of the early 2000s and it's quietly become the biggest constraint on marketing performance. Our latest whitepaper breaks down the 4 structural bottlenecks keeping brand teams stuck in a cycle of waiting, compromising, and launching late: → The feedback loop that never ends (60% of your timeline is queue time, not creation) → The model, one operator, one asset at a time, collapses at scale → Physical production dependencies (yes, even the weather) → The "declination wall" where format variants take as long as the hero asset If your team is producing content in 2026 the same way it did in 2006, this is worth 10 minutes. 👇 Download "The Content Bottleneck" below!

You've tested Midjourney. You've played with Nanobana. The demo looked great and then you tried to actually use it. Off-brand colors. Product details that are subtly (or not-so-subtly) wrong. Ten images that look like they came from ten different photographers. And a "quick generation" that somehow needs four hours of cleanup before it's usable. Generic AI image tools aren't built for brand-grade production and no amount of prompt engineering fixes that. It's a structural gap, not a skill issue. Our latest whitepaper breaks down the 4 specific failure modes of generic AI for premium brands: → Off-brand aesthetics (it can do "luxury," it can't do you) → Product detail failures — hallucinated labels, invented stitching, wrong geometry → Zero consistency across a campaign's worth of assets → The hidden "post-production tax" that eats the time you thought you saved If your team has run this experiment and hit the same wall, this is for you. 👇Download the full breakdown on The AI Quality Gap.

What share of your campaign budget goes actually to producing the assets, not just buying the media? Most teams don't have a precise answer. Industry benchmarks suggest it's up to 40%. That's budget that could be driving reach and conversions, quietly absorbed by briefs, design queues, and export cycles instead. Our latest whitepaper breaks down the 4 ways legacy creative production is taxing your marketing ROI: → The budget imbalance: creative eating into media spend → Asset scarcity feeding ad fatigue (algorithms reward freshness; slow teams can't keep up) → The localisation gap: 96+ assets needed per campaign, most teams settle for one → Losing the speed of culture when every change takes 48 hours instead of 48 minutes If you run performance, growth, or brand at a scaling company, the numbers in here are worth checking against your own. 👇Download the full breakdown in The Creative Production Tax whitepaper.