Sutra

Sutra reads from the systems a hardware team already runs: PLM for part and BOM data, ERP for sourcing and cost, MES for production, plus email and spreadsheets where a lot of the real context hides. Instead of asking engineers to consolidate data by hand, it builds one connected view. The practical payoff is that a decision maker sees the same facts everyone else does.

The core capability is asking "what happens if we change this?" before the change is made. Sutra traces how a modification moves through downstream parts, processes, and programs, and surfaces the conflicts that would otherwise wait to appear in a review meeting. That's the difference between fixing a problem in an afternoon and rebuilding a month of work. Late caught, it's brutal.

Once a decision is made, Sutra handles what comes next, including engineering change requests, approval routing, and traceability records. Think of it as ECR automation plus the approval chase that follows every change. The follow-on steps that usually get tracked in ad hoc spreadsheets run through the platform instead. That cuts the manual work that eats engineering time.

Every change carries a record of what was decided, why, and what it affected. When someone revisits a part six months later, or when an auditor asks how a spec evolved, the trail is already there. Traceability like this matters most in regulated hardware, where proving why a change happened is as important as making it. Good engineering change management lives or dies on records like these.

Sutra isn't a replacement for PLM or ERP. It sits alongside them and makes them talk to each other plus the informal channels. Teams keep their existing systems and get a layer that reasons across them. That keeps switching costs low and avoids forcing a rip-and-replace on an already complex stack.