5 Go-to-Market Lessons from Credal’s Journey to Product-Market Fit

When a customer tells you they’d only pay $10 for your product when you were planning to charge $2,000, you have two choices: keep pushing or start over. In a recent Category Visionaries episode, Credal founder Ravin Thambapillai shared how this brutal feedback catalyzed their transformation from struggling startup to rapid-growth enterprise AI security company. Here are the key go-to-market lessons from their journey:

1. Clear Negative Feedback is a Gift

Most startups die slowly, tweaking their product endlessly while hoping for traction. But sometimes, definitive negative feedback can be the catalyst needed for transformative change. As Ravin explains: “If they’d said, oh, we’d spend $200 a month or $300 a month, maybe we would have continued barking down that wrong tree… The fact that we were so far off from what could plausibly work actually accelerated our realization that, okay, this was not going to work.”

2. Listen to What Customers Actually Value, Not What You Want to Build

While selling their original AI chief of staff product, Ravin’s team noticed a pattern: “Our original thesis that the security problem is really big. That’s come out time and time again in the sales process. What has not come out is that anyone cares about an AI chief of staff.” Instead of trying to convince customers to care about their original vision, they focused entirely on the security component that customers were actually excited about.

3. Creative Outreach Can Open Enterprise Doors

Rather than generic sales pitches, Credal landed their first enterprise customer through highly personalized outreach. “I emailed the CISO of Checker and on his LinkedIn, like, he kind of mentioned that he spoke Klingon,” Ravin recalls. “And so this like outreach email I sent in Klingon.” This creative approach led to a pilot that converted into a major enterprise deal.

4. Use Content to Document Real Customer Wins

Instead of theoretical marketing content, Credal focused on documenting actual customer implementations: “We would work with these customers, we’d solve a problem, we’d write a case study up about it, and then the head of platform engineering at some 10,000 person public financial services company would reach out.” This approach proved so effective that they “actually did not do any outbound for the longest time until literally the start of this year.”

5. Frame Your Product Around Future Industry Evolution

Rather than just solving today’s problems, Credal positions their product as essential infrastructure for where the industry is heading. As Ravin explains: “We believe that five years from now, every company is going to have hundreds of these AI employees running around doing work… And that exchange of information will need to be governed because I want the AI to help brief you, but I also don’t necessarily want it to accidentally reveal that I’m trying to get Ilia fired.”

The results speak for themselves: Credal is now “growing at like 20% to 30% per month” and processes “over a million LLM queries every month.” Their success demonstrates how rapid iteration, customer-led development, and clear positioning around emerging industry needs can accelerate enterprise adoption.

The key principle underlying all these lessons is what Ravin calls being “ruthlessly focused on talking to actual customers, understanding the actual pain points and solving those actual pain points.” When combined with the courage to pivot decisively and the patience to build through content rather than aggressive sales, this focus creates a foundation for sustainable enterprise growth.

For technical founders building in emerging categories like AI, Credal’s journey offers a blueprint for navigating from initial product hypotheses to genuine product-market fit. The path might require abandoning original visions, but the potential upside of building what enterprises actually need is worth the pivot.