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“Even in a fully regulated, on-premise environment, we’ve gained control over complex engineering data, detecting errors earlier and accelerating development with confidence.”

“I noticed that the filters still aren't working right so like I'll go in and I'll filter to unreviewed and o…" (truncated in capture)”

“Can AI enable the group to master SDV complexity across all brands, built on one E/E and SW architecture?”

“The big benefit for us is really these hours. He mentioned 13,000 hours of effort for each RFQ. There is the big leverage.”

“It's about really the integration of the tool in the workflow of the customer's bidding process. There is some point that was highlighted, and obviously it makes sense because this is not integrated, the value added is not real, basically. And on that one, I'm still not completely sure what is the way forward.”

“You mentioned 100 RFQs in your business case description. This number is too high for us. Normally we have on each location about five new quotations per year. We have about five locations, so we have about 25 new RFQs per year. So we don't have hundreds." "The big benefit for us is really these hours. He mentioned 13,000 hours of effort for each RFQ. There is the big leverage.”

“My problem right now is to run and fix those bloody bugs. If I need to stop for three weeks, four weeks, five weeks to get your system to digest my configuration before I can get something meaningful out of it, it's gonna consume a lot of my precious resources. A generic demo is good for a demo, but it's not helping me to solve my problem. You may get me conceptually excited. But then I will bump into the barrier of: I have no time to implement this tool because I'm on a race, and I need to finish the race.”

“This is the hard stuff. Inside every car company, this is the hardest part and what all legacy OEMs need.”

“Bis dann wir im Bereich das den Ausdruck 'need to know' in den Raum schmeißen. Dann ist meistens dann nicht mehr so ganz klar, was ist überhaupt da." (Until we throw the term 'need to know' into the room, then it's usually no longer clear at all what's even there.)”

“Wir haben rotierendes Radar, wir haben ein nicht rotierendes Radar, wir haben Landradar... wir möchten jetzt die drei verschiedenen Radarsystemspezifikationen vereinheitlichen. Alleine dieses Konsolidieren setzt's mir momentan grade drei Monate an." (We have rotating radar, non-rotating radar, land radar... we want to consolidate three different radar system specifications. Just this consolidation is currently costing me three months.)”

“Der Vorgang selbst ist sehr personal- und zeitintensiv und tatsächlich auch anfällig für Fehler. Die Datenlage ist verteilt, abgelegt, ich hab hier Excel-Listen, ich hab Datenbanken, manche Sachen sind in Doors. Anderes Wissen steckt tatsächlich nur in den Köpfen von gewissen Personen." (The process is personnel- and time-intensive, and actually error-prone. The data is distributed, Excel lists, databases, some things in DOORS (IBM Rational DOORS, a requirements tool). Other knowledge exists only in people's heads.)”

“Jetzt kommt die Killerfrage: Wie ist Ihre Berechtigungsverwaltung? Bauen Sie Datalegs? Sie zapfen ja diverse Program an. Ich möchte verstehen, was Sie wie anzapfen. Ich möchte verstehen, was wer überhaupt sehen darf." (Now comes the killer question: How is your authorization management? Are you building data lakes? You're tapping into various programs. I want to understand what you're accessing and how. I want to understand who is even allowed to see what.)”

“It's great you can access lots of engineering knowledge instantly. At the customer, we will make product knowledge available to everyone when, where and how they need it with a digital product twin. SPREAD's AI solutions turn siloed data into business value.”