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TEFY Digital
For founders and product teams

Build AI products

A first version your users can touch in weeks, built so it can grow.

Starting point
Product MVP from CAD 5,000
Price agreed before we start.
Does this sound familiar?
  • You know what it should do, not how to get to version one
  • A no-code prototype has hit its limits
  • You need something real to show customers or investors

Three steps to a product people use

Small first release, real users, then grow. It is the least risky way to build.

01

Shape it

We narrow the idea to the one journey your users will actually complete first.

02

Build it

Design, engineering and tests. You click a working version within weeks, not months.

03

Launch and learn

Ship it, watch real use, and decide release two from evidence.

Illustrative. How we work, step by step →

What you get

What you'll have at the end

We take product ideas through validation, UX/UI, architecture, engineering, integration, evaluation and launch. Where AI functionality belongs in the product, we design it as a feature with measurable behaviour, not as a label.

  1. A launched first release covering one core journey
  2. A codebase you own, with designs, docs and tests
  3. A clear plan for release two
The process

How it runs

Typical durations; confirmed with your scope.
011 week
Scope
Narrow the first release to the core journey
021–2 weeks
Design
UX flows, UI, clickable prototype
033–6 weeks
Build
Architecture, engineering, integrations, tests
041 week
Launch
Deploy, measure, plan release two
Good to know

A narrow first release is a feature, not a compromise. It ships sooner, costs less, and tells you what to build next from real use.

Not the right route if
  • Complex platforms expected at entry pricing
  • Projects where the AI feature is the whole business case but has not been tested
The CAD 5,000 entry scope covers a focused MVP. Final pricing depends on the agreed scope and is negotiable.

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