Defines what should exist, how the system should behave, and which tradeoffs matter.
About
An independent studio for custom software systems.
Vyshyvka designs and builds custom software for organizations whose public site, internal workflow, data model, AI layer, infrastructure, and documentation all affect one another.
The studio stays small so product decisions, design decisions, and engineering decisions can be made in the same room.
Why this studio exists
Complex software often breaks between disciplines.
A public site, internal workflow, database, automation layer, deployment path, and operating process can each look reasonable on their own. The trouble starts when they describe different versions of the work.
Vyshyvka is for projects where the hard part is making those parts agree: custom systems with enough domain detail that the model, interface, data, and automation need to be decided together.
Operating model
A compact team stays close to the work.
The studio is set up for direct product ownership, not agency scale. Strategy, interface design, implementation, data modeling, AI workflow design, deployment, and documentation stay in the same conversation.
That is useful when a product is too specific for templates, too integrated for ordinary SaaS, or too dependent on domain knowledge to pass from vendor to vendor.
What stays connected
The parts are planned together.
Turns real workflows into public and internal screens people can use.
Keeps implementation, schemas, and infrastructure tied to the same product model.
Adds sources, validation, review, telemetry, and controls where automation helps.
Best fit
Cultural, operational, and AI/data-heavy work.
Institutions whose public sites depend on serious operations underneath.
Archives and knowledge systems where provenance, search, and editorial context matter.
Teams with records, files, permissions, review states, and repeated decisions.
AI and data workflows that need evidence, validation, human review, and reliable write-back.
Working principles
How the work is kept usable.
Design the public surface and the operational system at the same time.
Model complex data before deciding how to present it.
Put AI inside workflows with evidence, validation, and review.
Make the interface fit the domain instead of a generic component kit.
Tell us what you are trying to build.
Use the brief to describe the product, the workflow behind it, and the constraints that make it hard to buy off the shelf.
Send a project brief