// Systems in production

Seven systems. All running a live operation today.

Not pilots, not prototypes, not slideware. These are the AI systems Kin-etiq designed, built, and shipped. Each one is in daily use on a 20,000-worker operation. Each one maps to something we can build for you.

7 in production3 commercial tools replaced6 wks idea to production
● In production
Salus
AI credential compliance
Read the case study →
● In production
HealthDesk
Unified operations desk
Read the case study →
● In daily use
Command Centre
Operations control panel
Read the case study →
● In production
Signal
Secure team and clinical communications
Read the case study →
● In production
Hyacinthe.io
Automated voice and SMS reminders
Read the case study →
● In production
Customer support AI agent
Support agent trained on real conversations
Read the case study →
● In production
RFP Swarm
Multi-agent procurement pipeline
Read the case study →
// What they have in common

Seven different problems. One way of working.

None of these started as an AI project. They started as an operational problem worth solving, and AI was the right tool. That is the order we work in, every time.

01
Diagnose
Find the real problem and judge whether AI is the right tool. Kill weak ideas in week one.
02
Blueprint
Architecture, scope, and a concrete build spec before anyone writes production code.
03
Build
The system gets built, integrated, and put into real use, in weeks.
04
Run
Monitoring and iteration on live usage, because shipping is the start, not the finish.
// Your turn

Have a system like this in mind?

If this maps to a problem you are sitting on, the first step is a fixed-price diagnostic. Worst case, we tell you not to build it.

hello@kin-etiq.ai
Diagnose · Blueprint · Build · Run — six weeks to production