Every sensor you own is slowly lying to you — calibration drifts, faults creep in, and the readings look fine right up until they don't. Quantum Children reads the sensor data you already collect and flags drift, faults, and anomalies early — no new hardware, no rip-and-replace. Prove it on your own history, free.
Get the free sensor audit See who it's for →In a public 36-month industrial gas-array dataset, the engine flagged calibration drift in every sensor — the kind that goes unnoticed until a reading is wrong.
Distinguished six industrial gases by their entropy signature alone, from the same raw sensor stream.
Runs on the feeds you already have. The first look at your data is free.
Quantum Children is built on an entropy process-intelligence engine that measures how "ordered" or "chaotic" a sensor stream is, moment to moment. Healthy equipment has a fingerprint. When that fingerprint shifts — a sensor drifting out of calibration, a process sliding toward a fault — the engine sees it in the numbers before it shows up as a failure. The same engine has run, unchanged, across industrial gas arrays and process-plant sensors, which is what tells us it isn't tuned to one lucky dataset.
Sensors degrade slowly and quietly. The engine tracks each one over time and flags the ones sliding out of trust — before a bad reading drives a bad decision.
It separates a normal run from a faulty one by its entropy signature, so an off-spec batch or a failing unit surfaces early instead of at the end.
Different substances and process states leave distinct signatures. The engine can tell them apart from the raw stream — no re-instrumenting the site.
If your operation runs on readings you have to trust, this is for you.
Gas-detection arrays, process instruments, and monitoring feeds drift over months of continuous service. Quantum Children watches every sensor for calibration drift and flags anomalies in the stream — so a leak alarm or a process reading is one you can actually trust. Built by a 30-year gas-plant tradesman who knows what a bad reading costs.
Soil-moisture and nutrient probes, greenhouse climate sensors, grain-bin temperature and moisture monitors — all of them drift, and a wrong reading means a wasted input or a spoiled bin. The same engine that fingerprinted six industrial gases watches your ag sensors for the drift and anomalies you'd otherwise catch too late.
The engine has already run on full process-plant sensor data — over a hundred thousand time-series samples across a fermentation dataset — separating normal runs from faults. If your process is instrumented, Quantum Children turns those sensors into an early-warning layer.
This isn't a slide. The core studies are written up and posted publicly with permanent DOIs, run on open datasets anyone can download and check. Metered results, not marketing math.
Every number we show you is measured from your data or clearly labeled a projection. The path is simple:
Send us a stretch of your historical sensor logs — gas arrays, process tags, farm probes, whatever you run. We send back a report showing the drift, faults, and anomalies the engine finds in your own data.
Free. Nothing installed, no access to live systems.
If the report earns it, we run the engine alongside your existing monitoring for a fixed trial window — early-warning flags on your real feeds, measured against what actually happened.
Free trial window. This is where the audit becomes proof.
Turn it on as a standing early-warning layer over your sensors. Simple terms, no new hardware, cancel if it isn't earning its place.
If it doesn't catch things worth catching, you don't keep it.
Straight talk on your data: we analyze what you send us to produce your report and nothing else. The engine may surface deeper structure in your sensor data along the way — anything beyond the report, we only pursue if you ask us to. Your data is used for your report. Period.
You should know who's behind it.
Jim Jardine spent close to 30 years as a Red Seal steamfitter-pipefitter building and running gas plants — roughly a hundred facilities across Alberta's energy patch and seven years as a superintendent across three plant builds at NOVA Chemicals' Joffre site. He's spent a career depending on instrument readings and knows exactly what a quietly-wrong sensor costs downstream.
Quantum Children is what happened when that plant-floor instinct met a new method: measure the pattern, trust nothing you can't check, and catch the drift before it catches you. The research is published openly under the QuantumChildren name — the same name on this door.
One email. Tell us roughly what you run — a gas-detection array, a process plant, a farm or a grain operation — and we'll tell you exactly what to send and what you'll get back. No meeting required.
jim@lattice24.comJim Jardine · (825) 305-0225 · Sylvan Lake, Alberta, Canada