Sencyble logoOngoing

Case study · AI orchestrationAI that controls outcomes, not settings.

Sencyble makes IoT and AI technology for air conditioners. Since May 2026 we’ve been its AI partner. We design, build and run the AI orchestration layer that turns “It’s sticky in here” into the right result in the room, confirms it worked, and speaks up before something goes wrong.

AI orchestrationOne turn, end to end
“It’s sticky in here.”Text or voice, in the app
UnderstandWhat the person means
Check the roomThis room, this unit, right now
ActThe right setting for this unit
ConfirmIt worked ✓
RememberWhat this person prefers
One request, end to end.
Client
Sencyble, IoT and AI for air conditioners
Engagement
Ongoing, since May 2026
Our role
AI partner: we design, build and run the AI layer
Focus
AI orchestration, proactive alerts, self-service

Why it’s hardAI in the physical world needs more than a chatbot.

“It’s sticky”Dry · 25° · Auto

People describe feelings, not settings.

The same few words have to become the right result in the room, not just a lower number.

Model A✓ Dry✓ Swing✕ Eco
Model B✕ Dry✓ Swing✓ Eco
Model C✓ Dry✕ Swing✓ Eco

Every machine is different.

Each model supports different controls. The AI may only use what the unit in front of it can really do.

AI suggestsTHE AC

Mistakes can’t reach hardware.

A language model can be confidently wrong. Nothing it suggests runs on a machine unchecked.

One request, end to endEvery request runs the same loop.

Understanding people is the AI’s job. Facts, limits and the machine stay with software. We designed and built both, and run the loop that joins them.

  1. 01 Hear it Typed or spoken, in plain words.
  2. 02AI Understand “It’s sticky” becomes a goal: drier, cooler air.
  3. 03Logic Check the room What the room and this unit are doing right now.
  4. 04AI Decide The right action for this exact unit, or the right kind of help.
  5. 05Logic Act and confirm Does it, then checks the room really changed. If not, tries again or says so.
  6. 06AI Remember Keeps a preference only when it repeats, and people can remove it.
Built and run by BlackSynq

GuardrailsLimits that hold, whatever the AI suggests.

The AI suggests; software decides. Nothing reaches a machine until it has been checked against what that unit can safely do, inside limits the operators control.

  • Hundredsof deliberately tricky test situations, from confusing requests to wrong readings.
  • Release checksfor truthful answers, physical safety and careful learning.
  • Privacy controlsso people can see, export or delete what is kept about them.
Software decides
AIAI proposes
Usage limits
Off switch
Automatic cut-outs
Checked per unit
Every step logged
Retry limits
Old commands ignored
The remote always wins

Proactive and self-serviceIt speaks up before you ask.

The assistant watches for trouble, explains it in plain words and offers a fix people can run themselves. When a fix isn’t enough, a person takes over.

  1. Spots a problem earlyNotices when the AC isn’t performing as it should.
  2. Tells you in plain wordsAn alert on the phone before anyone feels it in the room.
  3. Offers a fix you can runLike the AC’s self-clean, started from the chat.
  4. Brings in a personIf that doesn’t fix it, a service request goes to a technician.
People can also just ask
  • Clean my AC
  • Why is it noisy?
  • Check my filter
  • It won’t connect
  • Book a service visit

What we work onThe whole AI layer, not just the model.

Understand
Context understandingReading the situation before acting on a request.
AlignmentDoing what the person means, within what the product allows.
Voice and textPlain language, typed or spoken.
Personal preferencesLearning what each person likes, with their say.
Act
AI layer and architectureWhere AI decides and where software does.
AI strategyWhere AI adds the most, and in what order.
Self-learning and improvementLearning from real use, carefully.
EfficiencyFast, lean responses that don’t waste model calls.
Stay safe
SafetyLimits that hold, whatever the model suggests.
Privacy and compliancePersonal data handled with care, by design.
Monitoring and controlEvery step logged, visible and stoppable.
Cost and limitsSpend that stays predictable as the product grows.

The engagementOne team, working as part of theirs.

An ongoing partnership since May 2026: priorities agreed together, and the AI moves as Sencyble’s product does. Our people on it:

AI engineersSoftware engineersDevOpsProduct

Good fit if you’re

  • Building a product with AI at its core
  • Connecting AI to devices or real-world systems
  • Wanting a senior AI team alongside yours

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