How It Works

A prediction, and
a bound you can trust.

Built from existing data in days. Every answer carries a calibrated range.

The Engagement

Data in. GREENBOX Clone out.

Messy data

The data already on hand.

GREENBOX Clone

We build it from that data.

Bounded predictions

Every answer carries a range.

How We Build It

A Clone of the process,
with machine-checked bounds.

A field of equations behind the model
01

Ingest as-is

12+ common formats, with no manual cleanup needed.

02

Map the envelope

The Clone learns the normal operating region of the machine or process.

03

Bound every answer

Each prediction returns a calibrated, machine-checked range.

04

Flag the unknown

When an input falls outside what the Clone has seen, it abstains instead of guessing.

Every Prediction

Shows where to focus next.

A leaf in a lab dish, held up to the light
In Range

Keep running.

The input matches historical conditions, and the bound stays tight.

Uncertain Edge

Measure first.

The bound widens. The Clone points to the one place to measure before spending.

Out Of Range

Hard stop.

The input is novel or corrupted. The Clone abstains and flags the anomaly for review.