6,500 conversations a year, costly to capture manually.
IDQ's sales team runs complex, technical sales with long cycles and high-stakes conversations. The simple cost of data capture and sales administration justified alone a technology upgrade.
How ID Quantique, an IonQ company, turned 2,000 to 2,200 hours of invisible admin into a pipeline intelligence engine, and never looked back.
Founded in 2001 as a spin-off of the Group of Applied Physics of the University of Geneva, and now an IonQ company, ID Quantique is the world leader in quantum-safe crypto solutions, designed to protect data for the future.
At nearly 6,500 customer conversations per year, IDQ's sales team was spending 2,000 to 2,200 hours on manual note-taking. At a $150K fully-loaded cost, that is an entire headcount invested in low value administrative note taking.
IDQ ran a disciplined pilot before committing. Four months later, the results spoke for themselves and the entire Go-to-Market team was equipped.
The impact goes well beyond time saved: leadership can ask plain-language questions across actual conversation data, product teams can surface recurring requests in seconds, and sales managers can coach from evidence instead of gut feel.
IDQ's sales team runs complex, technical sales with long cycles and high-stakes conversations. The simple cost of data capture and sales administration justified alone a technology upgrade.
IDQ serves governments and financial institutions. The security of the AI and agentic layers - and where they run - was non-negotiable. Tools dependent on US cloud infrastructure were ruled out quickly.
IDQ ran a disciplined pilot before committing. Four months later, the results spoke for themselves and the entire Go-to-Market team was equipped.
IDQ can surface the most frequently requested product features across all customer conversations, with exact meeting counts per request.
IDQ can instantly identify every instance where a rep acknowledged not having a document or answer a client wanted.
Leadership asks plain-language questions and gets answers drawn from actual conversation data, cross-referenced with CRM records, in real time.
“I kept it extremely simple. On the very basic function of taking good notes from meetings and updating our CRM - it came back as the equivalent of one full-time employee. And people are like: well, it's just not worth not taking the risk.…”
At nearly 6,500 customer conversations per year, IDQ's team was spending 2,000 to 2,200 hours on manual note-taking before Optiverse.
Julien Lepetit built a deliberately simple business case around one function - meeting notes and CRM updates - and the number made the decision straightforward.
After the pilot proved its case, onboarding expanded across Sales, Customer Success/Support, Product Management, Marketing, and Leadership.
Swiss hosting and control over the AI layer were non-negotiable in IDQ’s evaluation.
Show us one recurring meeting. We will map what to capture, understand, and automate.