An interview with the CMO–co-founder of a soon-to-launch AI company on restraint, clarity, and earning belief
Key Takeaways
- Pre-launch marketing should build understanding, not hype
- Trust is the most fragile asset in AI branding
- Simplicity beats sophistication in early messaging
- Marketing must translate uncertainty without overselling
- Long-term credibility matters more than launch-day attention
Marketing an AI company before the product is in the world presents a unique challenge: how do you explain something powerful without inflating expectations or obscuring reality? For Elena Kovács, Chief Marketing Officer and co-founder of the upcoming AI startup Luminance Labs, the answer lies in discipline rather than spectacle. With a career spanning enterprise SaaS, brand strategy, and early-stage startups, Kovács has seen firsthand how quickly trust can erode when technology outpaces communication. As Luminance Labs prepares for its public debut, she’s focused on building belief slowly and deliberately. In this interview, Kovács shares how she approaches pre-launch storytelling, internal alignment, and the responsibility that comes with marketing AI.
Interview
Q1: What makes marketing an AI company before launch fundamentally different from other startups?
The biggest difference is that you’re marketing potential, not just a product. With AI, people bring a lot of assumptions—some hopeful, some fearful, many unrealistic. Before launch, our job isn’t to impress; it’s to orient.
That means resisting the urge to lead with grand promises. Instead, we focus on explaining the problem space clearly and why existing solutions fall short. If people understand the “why,” they’re much more receptive to the “how” later. Pre-launch marketing is really expectation-setting in disguise.
Q2: How do you balance excitement with skepticism in your messaging?
We treat skepticism as a signal, not a threat. AI has been over-marketed for years, so doubt is rational. If our messaging doesn’t survive scrutiny, it doesn’t belong in market yet.
Practically, that means grounding every claim in a concrete use case or design decision. We avoid abstract language like “revolutionary” or “game-changing” and instead talk about trade-offs. Excitement should come from clarity, not exaggeration. When people feel you’re being honest with them, curiosity follows naturally.
Q3: As both CMO and co-founder, how do you shape the company’s narrative internally?
Internal alignment is where the real marketing starts. If the team doesn’t share a clear mental model of what we’re building and why, no amount of external messaging will fix that.
I spend a lot of time working with product and engineering to pressure-test our language. If we can’t explain something simply to each other, we’re not ready to explain it to the market. Being a co-founder helps because marketing isn’t seen as a downstream function—it’s part of the company’s decision-making fabric.
Q4: What role does ethics play in your go-to-market strategy?
Ethics isn’t a section of our website; it’s a filter for our choices. AI products inevitably shape behavior, so marketing them responsibly means acknowledging limitations and risks, not burying them in footnotes.
For example, we’re explicit about where human oversight is required and where the system should not be used. That might slow adoption in the short term, but it builds credibility with the right customers. We believe the companies that last will be the ones that treated trust as a design constraint from day one.
Q5: What advice would you give marketers preparing for an AI launch today?
Start earlier than you think, and speak less than you want to. The pre-launch phase is about listening—understanding what your audience fears, misunderstands, or hopes AI can do for them.
Also, separate differentiation from theatrics. You don’t need a bold claim if you have a clear point of view. Finally, remember that your first customers are lending you their confidence, not just their budget. Treat that as a privilege, and your marketing will naturally become more thoughtful.
Looking Forward
As AI companies race toward market, Luminance Labs is choosing a quieter path—one defined by clarity, restraint, and respect for its audience. Kovács’s approach challenges the assumption that launches must be loud to be effective. Instead, she argues that the most durable brands are built before the spotlight arrives, through careful language and internal conviction. In an industry shaped as much by trust as by technology, how a company introduces itself may matter as much as what it ultimately builds.