Ask it anything
In plain language, in Hebrew, on WhatsApp. Yield, downtime, a shift, a grower, a machine — answered from your real data in seconds, with no report to build.
We build the whole brain for your factory — from the machine on the floor to the answer on your phone — and we run it.
Not a model you have to wire up. Not a tool you have to staff. The whole thing, built and operated by us — so you get the outcome, not a science project.
of enterprise AI pilots return nothing.
Not because the technology fails. Because they ship a piece — a data integration, a semantic layer, an agent, an automation tool — and leave a factory, with no AI team, to make them all work together. The pilot stalls, the budget burns, and nothing reaches the floor.
// roughly — MIT Project NANDA, 2025
Not a single trick bolted onto the side. It reaches every part of how your factory runs — and your whole team talks to all of it, in one place.
Edge where it matters · cloud where it helps · delivered where people already work.
In plain language, in Hebrew, on WhatsApp. Yield, downtime, a shift, a grower, a machine — answered from your real data in seconds, with no report to build.
Machines and PLCs, SCADA and MES, sensors and cameras, your ERP, lab and quality data, spreadsheets, scanned manuals. Where there’s no data, we drop a small computer and make some.
It surfaces what’s drifting on its own — a metric off baseline, a shift about to miss target — and stays quiet when nothing matters.
When something’s off, it works across machines, ERP and quality data and comes back with the why, not just the what — the cross-referencing that used to cost your team days.
Every line, metric and trend in one living picture of the operation — for when you’d rather look than ask.
Worker, machine and job, captured by a simple scan — who ran what, when, on which line, without the clipboard.
Around the clock, in the background, it’s already at work — long before anyone asks it a thing. This isn’t a faster employee. It’s a system that never looks away — running today, not a promise.
It reads months of your data across every shift to see what goes together, what’s normal, and what isn’t — patterns no human eye can hold.
It goes through the data again and again, continuously, hunting anomalies and trends that slip past everyone — and surfaces what matters the moment it shows up.
It flags a line drifting the wrong way while the problem is still cheap to fix — not after it has already cost you a shift.
A bad AI is the smartest worker alive that nobody ever taught the job — useless, confidently wrong.
We do the opposite. We bring that worker and we teach it your factory, feed it your live data, and ground it in the truth. You don’t lose your best people. You finally get the best worker you never had the hours to build — one that never sleeps, and frees your real people to do the work only they can.
From the machine on the floor to the answer on your phone. In an enterprise, three or four vendors each build one layer and nobody owns the seams. There are no seams here. There’s one of us, end to end — so nothing falls through the gaps.
It understands what your data means, and it’s anchored to your real numbers and your own decisions. That’s why its answers are right instead of confidently wrong — and why hallucination drops to almost none.
What you have on day one is level one — and it’s already live. Each step from here is on your terms, only when you allow it.
Ask anything, get a straight answer from your real data.
It owns the recurring calls and tells you what to do — in money.
It handles the repetitive decisions and actions for you.
When you allow it, it takes control of parts of the line itself.
You’re never replaced by it. You’re freed by it.
Live and in production on real machine and ERP data, answering in Hebrew on WhatsApp every day. Built for food and produce first; the same brain travels to any operations-heavy factory.
Hosted in your region, under your keys. Never shared, never used to train anything. The brain we build on your data is your asset — it only ever works for you.
If you run an operation and there’s a blind spot, a bottleneck, or a manual workflow that shouldn’t still exist — we want to hear about it.