Built twice
The same component exists several times, with different variants and states.
The same component exists several times, with different variants and states.
New features and individual areas are designed differently. Shared patterns are missing.
For each new feature, design and engineering revisit which components, variants and states to use.
The component library is outdated, rules are missing and responsibility for maintenance is unclear.
We start with your existing system and its most important tokens and components. You can commission design system work in Figma, implementation in code or the connection between the two. Tokens, components and rules give design, engineering and AI the same reliable foundation.
Components, variants, and patterns are mapped and consolidated. This reveals what stays, what is missing, and what should be replaced.
Semantic tokens keep colour, typography, spacing, themes, and brand variants in sync across design and code.
We document variants, states, behaviour, and accessibility in Figma and, when code components are part of the engagement, also in Storybook. This lets Design and Engineering use them correctly.
Named ownership, reviews, and contribution rules ensure the design system grows with the organisation instead of becoming outdated again.
Components, variants, and patterns are mapped and consolidated. This reveals what stays, what is missing, and what should be replaced.
Semantic tokens keep colour, typography, spacing, themes, and brand variants in sync across design and code.
We document variants, states, behaviour, and accessibility in Figma and, when code components are part of the engagement, also in Storybook. This lets Design and Engineering use them correctly.
Named ownership, reviews, and contribution rules ensure the design system grows with the organisation instead of becoming outdated again.
Design and Engineering use established patterns instead of redefining components and states every time.
Applications, brands, and channels follow the same rules, even as the organisation and requirements grow.
Shared terminology, documented standards, and unambiguous components reduce questions and deviations.
Consistent tokens, components, and rules help AI apply established patterns correctly instead of creating new variants.
With TokenLab, we also build and operate our own platform for tokens, design context and configurable exports.
View the TokenLab caseAs soon as inconsistency costs speed: when several people work on the UI, components get built twice, or every handover needs a discussion first. What matters is how much coordination and duplicated work this creates.
Figma, code or both, depending on your needs. We review existing tokens and components and extend them. We coordinate implementation and integration with our own development team, your in-house engineering team or an external partner.
Explore Web DevelopmentEarly. We build the system in usable stages: tokens and the most-used components first, so the effect reaches daily work right away.
Both. We assess and consolidate existing systems, build new foundations, and scale design systems for additional applications, brands, and functions. We determine the right path from your current inventory and next goals.
Yes. For an assessment and system build, we define the scope in advance and offer a guaranteed total price. For an ongoing partnership, we agree on a fixed monthly retainer. We agree on extensions together before they create additional costs.
Yes, if the design system is built for it. Semantic design tokens, clearly named components, and documented variants, states, and rules create a reliable foundation for copilots and AI agents. We also define where automated suggestions need review so system quality remains under control.
Yes. Contrast, focus states, keyboard interaction, component variants and understandable interactions are considered at system level. Where we implement frontend components, semantics and interaction behaviour are also part of the definition.
With established ownership, contribution rules, documentation and a suitable review rhythm. You can run the system yourselves afterwards. If ongoing support makes sense, minddraft can stay involved selectively or on a fixed retainer.

Marco or someone from the team will get back to you, within 24 hours on working days.