Kalyr Technology{ Experts and machines, better together }From production lines to control rooms
Every expertknows something.
Every resultteaches something.
How know-howreaches further.
Learn with your experts.
ScrollKeep what every result teaches.
ScrollPut it to work everywhere.
Four sources
Everything your experts draw on.
Kalyr works from what your experts already use: their judgment, your machines, your records and the world outside. You choose what it may read.
Your experts.
What they check, in which order, and why. Credited to them.
Your records.
Past work, results and reports, kept where they live.
The world outside.
A supplier change, a demand swing, read from the source that saw it.
See the platformKnow-how and data
Experts and machines, working together.
Kalyr reads your systems where they live. They stay in place, and stay the source of truth.
What your experts knowKnow-how
+What your systems recordData
+What every result teachesLearning
=Expert work, ready when neededTogether
Your experts guide and approve the work, with more time for the complex work only they can do.
How it works
From know-how to finished work.
Kalyr learns with your experts, prepares the work and learns from every result. Your approval rules decide who acts.
Learn → Connect → Prepare → Propose → Approve → Produce → Learn
Better with every result.
Example dataShown for demonstration.
Before anyone acts
It sees the whole picture. Then it proposes the way forward.
Every option comes with what to expect, current practice included.
See the whole picture.
Machine data shows what is happening. Your experts’ know-how explains why. You choose what Kalyr may read.
Know what to expect.
Every option arrives with what it should change, saved before anyone acts.
Learn from what happened.
Each result is measured in your own KPI. Your team reviews it before it shapes every new proposal.
Open architecture
Own your record. Compound it.
Own your record and make it compound while adopting the best for you. One record format holds across sites.
Trust
Govern AI by your goals and its results.
Set what each AI may read and do. Every result is checked, ours included, and kept in a record you own.
The system
Learn it once.Put it to work everywhere.
Kalyr
Each layer keeps the one beneath it intact.
Keep any model or vendor: one record format holds. Repeat by use case: each one carries to the next line and site. Keep local systems in place: Kalyr reads them where they live. Audit every result: the value formula is yours.
See the platformEvery result checked and open to audit. Trust architecture
Get started
Compound your intelligence.
One recurring problem at a time, where it matters most.
Governance inside the model
Accuracy is not permission.
An inference may be plausible and still be inappropriate to make, retain, expose or use. Embreier resolves the evidence, purpose and recipient before it resolves the answer.
Bounded
ProhibitedConfidence · provenance · expiry