A digital twin models your process. GREENBOX Certified Clone proves it. A new standard, backed by mathematics and first principles, that shows what actually happened and lets anyone verify it. Proof, not promises.
We make your process provable. You hand us the run · we hand back a mathematical proof that it met its mark, one any auditor can check without trusting us and without ever seeing your recipe. Data in, proof out.
A new standard for what actually happens inside your process, backed by mathematics and first principles, not a checklist. It cannot be faked and it never rests on your word, and the same proof holds in any domain you run, from a pharma batch to a defense system.
We turn your completed run into a sealed, audit-ready record with a proven bound. In hours, not days.
We run the model forward on your live process to catch drift before a run is lost.
We trace which input, which step, and whether the process would have failed anyway. Causal, not correlation.
Pruthvi PatelCo-Founder · Physical Systems
Lisa YangFounder & CEO
Dr. Abel KarimiCo-Founder · AI Systems
We build from first principles and rare mathematics, and we prove everything we claim. We do not ship what we cannot prove, and the same standard extends to any regulated process, one at a time.That discipline is the product.
A fast, accurate model of your process that ships with a proven, adversarially-tested error bound and a sealed proof anyone can check offline. A digital twin predicts · a Certified Digital Clone proves what it predicts, and flags itself the moment your process leaves the range we certified.
No, neither. It is deterministic and grounded in the settled science of your process. That is why the error can be bounded, and why it holds up as evidence for your auditors.
Everyone hands you a prediction and asks you to trust it. We hand you a proof you check yourself, offline, without us. Others model your process · we certify it.
Accuracy here is a number you can check, not an average that hides the bad days. For any prediction we give a derived, adversarially-tested worst-case bound, the most it can be off over the range we check, tightest near-term and honest further out. We do the same for cause: when something drifts, we pinpoint the root cause with a quantified confidence and rule out the confounders, a mathematical attribution rather than a hunch. Both are built on the real noise and drift in your instruments, and the moment your process leaves the range we checked, it flags that instead of guessing.
Three things, all yours to keep: the certified clone (a fast model of your process that carries its own error bound), the proof packet (the evidence, tests, and bound behind it), and an offline verifier (a small file that re-checks the signature with no network and no contact with us). Standing it up takes weeks; certifying each run after that takes hours, not the days a manual review costs.
Less than most people expect. A handful of historical runs with their outcomes is usually enough, and it does not need to be clean first · reconciling messy sensors, gaps, and mismatched records is our job, not yours. Before anything is promised, we tell you plainly whether your data can support a bound and exactly what to add if it cannot.
No, and no. We retain no raw data, and everything we deliver runs and verifies on your side, without us.
Every proof is scoped to your process as it is now. When it changes, we re-certify · on request, on a schedule, or when it drifts past the range we certified.
Yes, and not only one. Built for the standards you already answer to · 21 CFR Part 11, GMP, ALCOA+, GDPR, CMMC, NIST 800-171 · and new ones as they emerge. If a standard can be written down, we can certify against it.
Reach out, and if there’s a fit, we’ll show you the proof on your own process.
