The answer lives in this podcast
De Keyser identifies two non-negotiable qualities: the ability to build and maintain the right team — and the willingness to remove people quickly when their performance or commitment drops — and the persistence to keep going through early failures before finding product-market fit. Without both, survival is unlikely.
De Keyser doesn't make this argument in the abstract. He invokes the founding histories of Airbnb and Twitch as concrete proof that persistence before product-market fit is not a soft virtue — it's the operational difference between a company that exists and one that doesn't.
Both companies came close to folding before they discovered the formula that worked. The implication is direct: most founders who fail do so not because their idea was fundamentally wrong, but because they stopped before finding the version that worked. This point is explored in depth in The Conference Room with Simon Lader, where De Keyser draws on his own experience across multiple ventures to frame what resilience actually looks like in practice.
The second quality De Keyser highlights is equally uncompromising: getting the team right, and acting fast when someone is wrong for it. This is not about being ruthless — it is about recognising that a founding team operating below commitment or capability is one of the most common causes of early-stage failure.
De Keyser also flags a specific risk that is new to this generation of founders: even well-funded companies can enter paralysis when confronted with the speed of AI development. The pace of change introduced by tools like ChatGPT, Claude, and Grok creates a kind of decision fatigue at the leadership level — and founders who cannot cut through that paralysis quickly tend to lose ground. Chandra De Keyser discusses this dynamic openly in episode 184 of The Conference Room, connecting it directly to what he has observed building Voicera and, before that, MoodMe.
His own career is a direct illustration of these principles. At MoodMe, De Keyser had to navigate pivots, rebuild team structures, and push through a market that did not yet understand emotional AI — all before generative AI made the category legible to investors and customers. That experience shapes the clarity with which he speaks about what the early stage actually demands. You can hear the full conversation in The Conference Room with Simon Lader.
"What was said is part of the story. How it was said is sometimes as important, if not more important. So that's where we add tremendous value, because we can unherd these signals."
Chandra De Keyser — Co-founder, Voicera
Chandra De Keyser co-founded Voicera, an AI company building what it calls sincerity AI: technology that combines large language models with emotional intelligence to help organisations understand not just what customers say, but what they mean. Before Voicera, he founded MoodMe approximately 14 years ago, making it one of the earliest companies in emotional AI and facial analysis — well before generative AI became mainstream.
His career spans Europe, Silicon Valley and Latin America, and includes advising startups, leading international growth initiatives, and deploying emotion-detection technology at scale — including for the FIFA Women's World Cup. He began his career with a master's in computer science in Italy, before joining a startup in the 1980s working on an early touchscreen device from the 83rd floor of the World Trade Center. Few active AI founders carry that breadth of longitudinal experience. His reflections on what founders need to survive are grounded in decades of firsthand evidence — as discussed in The Conference Room with Simon Lader.
De Keyser recommends that leaders identify their specific execution bottlenecks first — whether in product development, marketing, or another function — and then apply AI tools to those precise areas rather than adopting AI broadly without a clear problem to solve.
De Keyser says his biggest mistake at MoodMe was not firing his CTO early enough after discovering, from San Francisco, that the CTO in Italy had taken a significant portion of the codebase and was not performing as expected.
MoodMe started with augmented reality face filters — offering any app the ability to apply the kind of filters that Snapchat popularized — before moving into emotion detection technology. It reached approximately 160 customers in the augmented reality space.