Is this ChatGPT for buildings?

No. Chatbots talk. Qorina decides, and refuses to decide when it shouldn't.

If there isn't evidence an action is safe, the action doesn't happen. It's blocked upfront, not fixed after damage.

Do we need new hardware or to replace our platform?

Usually no. It sits under what you already run. We start read-only.

What's a "shadow test"?

We replay your historical data and show what we would have done, without changing anything live. Like a dress rehearsal.

First call is free. Shadow test is a small fixed project. Ongoing licence only if results earn your trust.

Are you claiming perfect AI?

No. We claim better judgment about when not to automate, and we show our test results, including where we don't win.

Industrial HVAC ductwork in a building mechanical room

Qorina by Aether Applied

Automation should know when to stop.

0 vs 11safety violations in live building stress test→ see proof

Qorina is decision software under what you already use. Wrong automatic decisions cost real money or create real risk.

ActWhen the situation is clear and safe
WaitWhen it is not sure, use the safe default
Call a humanWhen something unusual needs eyes on it

Book a 30-minute call See real examples

We can start with a read-only test on your data. Nothing changes in production.

Who this is for

If bad automation costs you money or sleep

Industrial HVAC and building automation mechanical room

Building & property teams

Comfort, energy, and safety should not fight each other.

“We had eleven safety flags in one stress week. Nobody trusted the BMS to run overnight.”

0 vs 11

safety violations in live building test

Real results

Tested on real scenarios: we show the limits too

Unsafe automatic actions in our safety tests

Blocked before they could run.

0 vs 11

Same building stress test

Our approach had 0 safety problems; the old approach had 11.

~95%

When we do act automatically

We're right about 95% of the time.

Half the time

We deliberately don't act

Because waiting is safer than guessing.

We're early-stage. Numbers come from controlled tests. We also publish where other methods beat us. The point isn't “perfect AI”. It's don't automate when you shouldn't.

What Qorina does differently

Three simple rules

Diagram showing physical system data grounding decisions

Reality

Typical AI

Talks about the world

Qorina

Grounded in how the physical system actually behaves

Confidence

Typical AI

Always sounds sure

Qorina

Knows when it doesn't know

Safety

Typical AI

Fix mistakes after

Qorina

Blocks unsafe actions before they happen

Not a chatbot. A decision layer for systems that can't afford silent mistakes.

How decisions work

Act. Wait. Call a human.

Data in

"Is this safe and familiar?"

Act / Wait / Call human

→ Act: Routine situation, clear evidence

01: Act

Routine situation, clear evidence

System moves on its own. No one babysitting.

It operates and it discovers

It doesn't just decide. It builds.

“Qorina designed a real Helsinki building and then ran it live, on real climate, on a live loop, not a simulator. Under the same disturbance it logged zero safety violations against a fixed controller's eleven, while holding comfort and trimming energy.”

Live building control

Real site, real climate

Read full proof →

0 vs 11

safety violations

“The whole model, perceive, decide, speak and compose, ran end-to-end on a real 36-qubit quantum computer. We claim no advantage today, the value is the architecture, calibration and composition, and the future is de-risked.”

Real quantum hardware

36-qubit QPU

36q

end-to-end on a real QPU

How we start

Try it without risk

30-minute call

You describe one real problem. We say honestly if we can help.

Read-only comparison ("shadow test")

We look at past data from one site and show: "Here's what your system did vs what we would have done." You change nothing. We touch nothing.

Small pilot (only if step 2 is interesting)

One location, strict limits, you can pull the plug anytime.

Book a 30-minute call

FAQ

Frequently asked questions

Software that helps physical systems decide: act automatically, wait safely, or get a human, based on real-world constraints, not just patterns in old data.

Modern infrastructure architecture, desaturated background for call-to-action section

Worth a 30-minute conversation?

If you run physical infrastructure and automation is either off or stressful, we can show you, on your data, whether a safer decision layer makes sense.

Book a 30-minute call