Daritas recovers evidence-backed models of automation and control systems — from plant-floor control and SCADA to embedded systems. The engine reads the real code and rebuilds an evidence-backed picture of what a system does: every claim cited to the evidence that supports it, coverage and unknowns disclosed, graded machine-generated or engineer-reviewed — the reviewed grade signed off by a named engineer within a stated scope — and kept current to the latest accepted baseline as the system changes. It runs inside the customer’s own network, so control-system source never has to leave the site.
Press contact: press@daritas.com
Three frames for why this matters. We're happy to go deeper on any of them.
Industrial installations run on control systems written and modified over decades. The engineers who understand them are retiring, and the documentation rarely matches what the code actually does. When production stops and no one can explain why, the cost is real. Daritas turns that fading understanding into a durable, evidence-backed record — before it drives away.
AI will happily explain a control system — and sometimes it will be wrong, confidently. Daritas is built the other way: no claim without a verbatim quote from its source — machine-checked that the quote exists, expert-reviewed that it means what the claim says — rejected claims and unknowns disclosed rather than hidden, and every deliverable labelled machine-generated or engineer-reviewed — never blurred. The creed: grounded and honest, fast or expert, continuous and yours.
Control rooms often cannot send their source code anywhere — for good reasons. Daritas runs inside the customer’s own network: bring your own AI as a local model or your own API key, or run the deterministic engine with no external AI at all. The source stays on site; only the evidence-backed model leaves, and only if the customer chooses.
We respond to press enquiries within a couple of business days, and we're happy to answer questions on background.
press@daritas.com