Design fidelity, amplified
We preserve the intent, motion and detail of the design, while AI-assisted prototyping and review help us catch inconsistencies and edge cases earlier.
Ship ambitious digital products without expanding your engineering department
AI-assisted delivery. Senior engineers accountable for every release.
We work with Clay as one of their key technology partners, supporting complex client projects where design quality depends heavily on precise engineering. Our team takes care of the development side — from pixel-perfect frontend implementation to animation-heavy interfaces, interactive transitions, and full-stack delivery.
The focus of this partnership is not just to build what was designed, but to preserve the quality, movement, and detail of the original concept in a stable, production-ready product.
Leading corporate survey platform with advanced features of marketing research. They reached out to us for assistance as their legacy system had issues with scaling performance.
We rebuilt the frontend and backend of the platform on the modern technology stack based on Amazon services. As a result, we developed an automatically scaling system that balances the peak loads.
We preserve the intent, motion and detail of the design, while AI-assisted prototyping and review help us catch inconsistencies and edge cases earlier.
Frontend, backend, mobile, integrations, infrastructure, QA and ongoing operation stay within one accountable team.
We do not force AI into every product. We use it in delivery and add it to the product only when it improves the user or business outcome.
When AI is part of the product, we build the approvals, roles, auditability, monitoring and vendor flexibility needed to control it.
Technology serves the design and the product outcome — never the other way around.
We use AI to explore faster, automate repetition, review more thoroughly and give senior engineers more time for hard decisions.
The team stays after launch to operate, improve and safely evolve the product — including any AI capabilities.
Start with the smallest useful scope.
Leave with a system that can be operated and developed.