Case study
Saywetin shows a different side of the Una Labs capability set: language intelligence, product craft, and a real consumer-facing surface with actual complexity behind it. From language recognition to live consumer app — scoped, built, and deployed through the same process available to you today.
Impact Report — Q1 2026
Auto-generated · Client workspace
$148K
Revenue Impact
+23%
312h
Hours Saved
+41%
74
NPS Score
+8pts
Delivery score trend
Oct
Nov
Dec
Jan
Feb
Mar
What mattered
When a product handles recognition, interpretation, or cultural nuance, the public-facing experience has to stay confident and useful. Saywetin is proof that Una Labs can build at that level.
Why it matters for Una Labs
This case study helps prospective clients see that Una Labs is capable of serious product work, especially where AI capability needs to become a real user experience rather than a concept slide.
What shipped
Each product story shows the work behind the experience, not just the final screen.
The product shows real AI application work with a clear public use case.
It proves Una Labs can build products with a differentiated audience and cultural context.
The shipped experience reflects more than prototyping; it reflects ongoing product ownership.
Where it points next
These related pages connect the product story to the wider Una Labs system.
Start here
Start with activation. Get a scoped brief, approve the plan, and move into build with proof.
Activation covers scope and planning. Build deposit comes after approval.