


mimikry builds AI around your business instead of forcing you to change.
We build private AI systems around your data, workflows and ways of working. So you can scale what makes your business yours.
We build private AI systems around your data, workflows and ways of working. So you can scale what makes your business yours.
problem
problem
When everyone can generate, looking the same is the real risk.
Generic AI scales output. We build visual intelligence that scales what makes your brand distinctive.
Generic AI scales output. We build visual intelligence that scales what makes your brand distinctive.
solution
solution
Powered by your data, products, brand, and workflows. Private to your enterprise and designed around how your teams actually work.
Powered by your data, products, brand, and workflows. Private to your enterprise and designed around how your teams actually work.
Bespoke AI built around your business.
Cost-efficient
Stop paying for 10 tools that each do half the job. One custom pipeline replaces your patchwork at a fraction of the cost.
Secure
Compliant

Show us how you work. We’ll show you what your AI could look like. No generic solution. Built around your business.
Show us how you work.
We’ll show you what your AI could look like.
by the numbers
by the numbers
What your own AI system makes possible.
What your own AI system makes possible.
What your own AI system makes possible.
Product variations generated from a single source
Product variations generated from a single source
60+
60+
60+
From product data to campaign-ready assets
From product data to campaign-ready assets
24h
24h
24h
Less production cost than a traditional shoot
Less production cost than a traditional shoot
75%
75%
75%
Based on results from client projects.
how we work
how we work
Connect with your desired data, scale for hypergrowth, create for high-quality output.
Connect with your desired data, scale for hypergrowth, create for high-quality output.
Connect with your desired data, scale for hypergrowth, create for high-quality output.









Your own company intelligence,
built to grow with you and to stay connected with how you work.
Your own company intelligence,
built to grow with you and to stay connected with how you work.
Powered by your data, products, brand, and workflows.
Private to your enterprise and designed around how your teams actually work.
features
features
Built for your business.
Built for your business.
Built for your business.
Built around your workflows
We start with how your teams already work, then build the AI around your processes, data and requirements.

Built around your workflows
We start with how your teams already work, then build the AI around your processes, data and requirements.
Enterprise-ready from day one
Built to meet the requirements of IT, legal and procurement, with privacy, security and control designed in from the start.

Enterprise-ready from day one
Built to meet the requirements of IT, legal and procurement, with privacy, security and control designed in from the start.
Works with your existing stack
Connect mimikry to the systems you already use, from PIM, DAM and CMS to internal tools and workflows. No rip-and-replace required.

Works with your existing stack
Connect mimikry to the systems you already use, from PIM, DAM and CMS to internal tools and workflows. No rip-and-replace required.
Works with your existing stack
Connect mimikry to the systems you already use, from PIM, DAM and CMS to internal tools and workflows. No rip-and-replace required.
use cases
use cases
Real results.
Real results.
Real results.
Different businesses. Different challenges. AI built for each.


Real-time AI system
Replit: real-time AI system
A live AI world that stayed coherent across six screens.
Tech
2026
6 live screens
One shared AI world
485
Cities generated
Collaboration & Partner
MATTE Projects, Replit


Material accuracy at scale
Muuto: material accuracy at scale
Lifestyle imagery from 3D models, with accurate materials.
Furniture
2025
3D to lifestyle
Accurate materials
100%
Material accuracy


Scaling lookbook imagery
Adidas: scaling lookbook imagery
Each quarter, thousands of product images are needed for internal lookbooks. Traditional production is slow, expensive, and hard to scale.
Fashion
2026
24h
Delivery time
95%
Production cost savings
faq
faq
Does this work across multiple brands or sub-brands within one company?
Yes. Since every system is trained exclusively on one brand's data and kept separate by design, this actually works in your favor for multi-brand organizations. Each sub-brand gets its own model, trained only on its own assets, so there's no bleed-over or generic "house style" diluting what makes each brand distinct. We've built this kind of structure for groups managing several brand identities under one roof.
Does this work across multiple brands or sub-brands within one company?
Yes. Since every system is trained exclusively on one brand's data and kept separate by design, this actually works in your favor for multi-brand organizations. Each sub-brand gets its own model, trained only on its own assets, so there's no bleed-over or generic "house style" diluting what makes each brand distinct. We've built this kind of structure for groups managing several brand identities under one roof.
Can we integrate this into the internal tools we already use?
In most cases, yes. Since the systems run on your infrastructure and we don't lock you into a closed platform, integration depends on your existing tech stack rather than on us. We typically work with your team early on to map out where the model should plug in, whether that's a DAM, a PIM, an internal creative tool, or a custom pipeline, and build the integration as part of the project scope.
Can we integrate this into the internal tools we already use?
In most cases, yes. Since the systems run on your infrastructure and we don't lock you into a closed platform, integration depends on your existing tech stack rather than on us. We typically work with your team early on to map out where the model should plug in, whether that's a DAM, a PIM, an internal creative tool, or a custom pipeline, and build the integration as part of the project scope.
How do you prevent the model from generating "out of brand" content?
This is exactly the problem we ran into early on with the Muuto project, and it shaped how we work now. The fix isn't more compute, it's process. We train exclusively on verified, brand-approved reference material, and we build in review checkpoints before a model is considered production-ready, not after. We also work closely with your brand or creative team during training so material accuracy, color, proportions, and tone are validated against your actual standards, not our assumptions of them.
How do you prevent the model from generating "out of brand" content?
This is exactly the problem we ran into early on with the Muuto project, and it shaped how we work now. The fix isn't more compute, it's process. We train exclusively on verified, brand-approved reference material, and we build in review checkpoints before a model is considered production-ready, not after. We also work closely with your brand or creative team during training so material accuracy, color, proportions, and tone are validated against your actual standards, not our assumptions of them.
What happens if our brand guidelines change? Does the model need to be retrained?
Brand guidelines evolve, and your model evolves with them. We build retraining into the relationship from the start, not as a costly afterthought. When your visual identity shifts, whether it's a new product line, a packaging redesign, or a broader rebrand, we retrain on the updated reference data. Because the system runs on your infrastructure and was built specifically for your brand, this is a focused update, not a rebuild from scratch.
What happens if our brand guidelines change? Does the model need to be retrained?
Brand guidelines evolve, and your model evolves with them. We build retraining into the relationship from the start, not as a costly afterthought. When your visual identity shifts, whether it's a new product line, a packaging redesign, or a broader rebrand, we retrain on the updated reference data. Because the system runs on your infrastructure and was built specifically for your brand, this is a focused update, not a rebuild from scratch.
What does working with mimikry look like?
We start by understanding what's slowing your content production down. Then we build the infrastructure to fix it. Custom pipelines, automated workflows, whatever your team actually needs. We're not a vendor that delivers files. We're a strategic partner that builds systems so your team can focus on creative and strategy, not production bottlenecks.
What does working with mimikry look like?
We start by understanding what's slowing your content production down. Then we build the infrastructure to fix it. Custom pipelines, automated workflows, whatever your team actually needs. We're not a vendor that delivers files. We're a strategic partner that builds systems so your team can focus on creative and strategy, not production bottlenecks.
Who owns the IP?
You do. 100%. Every asset we generate is fully yours, including commercial usage rights. We provide indemnification and clean IP chains so your legal team can sign off with confidence.
Who owns the IP?
You do. 100%. Every asset we generate is fully yours, including commercial usage rights. We provide indemnification and clean IP chains so your legal team can sign off with confidence.
Where is our data stored?
On dedicated GPU servers in Germany. Your data never touches public clouds or third-party infrastructure. Nothing is shared, nothing trains other models. Full GDPR compliance by architecture.
Where is our data stored?
On dedicated GPU servers in Germany. Your data never touches public clouds or third-party infrastructure. Nothing is shared, nothing trains other models. Full GDPR compliance by architecture.
How long does setup take?
It depends on the complexity, but typically 6 to 8 weeks from first workshop to production-ready pipeline. We move fast, but we take the time to understand your workflow first. A solution that doesn't fit how your team works is no solution at all.
How long does setup take?
It depends on the complexity, but typically 6 to 8 weeks from first workshop to production-ready pipeline. We move fast, but we take the time to understand your workflow first. A solution that doesn't fit how your team works is no solution at all.
What do we need to provide?
We start with a deep dive into your current workflow, not a file handoff. We'll figure out together where the bottlenecks are, what data you have, and what the pipeline needs to look like. You bring the brand knowledge, we build the engine.
What do we need to provide?
We start with a deep dive into your current workflow, not a file handoff. We'll figure out together where the bottlenecks are, what data you have, and what the pipeline needs to look like. You bring the brand knowledge, we build the engine.
Do we need to replace our current tools?
No. We connect to your existing stack: PIM, DAM and CMS. We don't replace your tools, we plug into them.
Do we need to replace our current tools?
No. We connect to your existing stack: PIM, DAM and CMS. We don't replace your tools, we plug into them.
Official Partner
Stop renting the same AI as everyone else. Build one that's yours.
Stop renting the same AI as everyone else. Build one that's yours.
Built on your data, products and expertise. Private to your business, shaped around how you work, and more valuable with every use.
Built on your data, products and expertise. Private to your business, shaped around how you work, and more valuable with every use.
BUILD YOUR AI










