Most models hand you a prediction and hope you trust it.
A GREENBOX Clone gives you a prediction and how much to trust it: a bound on how far it can be off, and a clear flag when your process moves past what it has seen.
Figures cited are industry estimates.
A GREENBOX prediction shows how far off it can be, and flags its own limits instead of guessing. The same bar holds, from pharma to defense.
We turn your existing data into a prediction with a bound on how far off it can be. In days, not months.
We trace which input and which step caused it, and flag when your process drifts out of the range we checked.
The GREENBOX Signal is our occasional dispatch from the Lab. Read past issues and subscribe.
Pruthvi PatelCo-Founder · Physical Systems
Lisa YangFounder & CEO
Dr. Abel KarimiCo-Founder · AI Systems
We come from cyber-physical systems, formal methods, and robotics. Each prediction we deliver carries a bound and flags its own limits. We say only what the evidence supports. Assurance, trust, and integrity are the pillars of our work.
A GREENBOX Clone is a fast, accurate model of your process. From it we generate your GREENBOX Prediction Report, which carries a bound on how far off the prediction can be, tells you how much to trust it, and flags itself when your process leaves the range we checked.
This is not black-box AI. Our predictions put a bound on how far off they can be, and flag their own limits instead of guessing. Most models hand you a prediction and ask you to trust it. We hand you a prediction and how much to trust it.
Accuracy here is a bound, not an average that hides the bad days. For a prediction we give a bound on how far it can be off, and it widens the further ahead you look. When your process leaves the range we checked, it flags that instead of guessing.
Real data. We have built GREENBOX Clones on real, measured runs across several domains, not simulations, and the bound held on data the model had not seen. We build it on your own data and show the bound carries to your own process.
You keep the prediction, its bound, and the record of the run, so you know how much to trust it. Your recipe stays with you.
The more data, the better, though it does not need to be clean or complete to start. Every engagement begins with a Data Readiness Report that tells you plainly whether your data can support a bound, and what to add if it cannot. Reconciling messy sensors, gaps, and mismatched records is our job, not yours.
Each GREENBOX Prediction Report is scoped to your process as it is today. When your process changes, we re-issue the Prediction Report, on request, on a schedule, or when it drifts past the range we set.
