Explained
Plain answers, defined terms.
Five short explainers on the questions that decide industrial AI programs. Written so a skeptical engineering manager finishes each one having learned something true, whether or not they ever talk to us.
Industrial AI has a vocabulary problem. The same words are sold harder than they are defined: digitization, knowledge graph, agent, autonomous. These pages define the terms the way we use them, state the limits plainly, and answer no where no is the honest answer.
Why we write these
An industrial AI program lives or dies on a handful of technical judgments: whether the drawings were actually digitized or merely scanned, whether the model of the plant stays current, whether the human stays accountable for the decisions that matter. Those judgments are hard to make when every vendor uses the same words to mean different things.
So we publish the definitions we hold ourselves to. Where a capability has a limit, the limit is stated. Where the honest answer to a popular question is no, the page says no. There are no invented benchmarks here and no imaginary customers: the few numbers we cite are ours, and the methodology behind them is public.